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Author SHA1 Message Date
MaheshtheDev
5258cb74c8 chore(web): reduce the app to a redirect shell, drop the browser extension (#1651)
chore(web): reduce the app to a redirect shell, drop the browser extension

app.supermemory.ai now forwards everything to the console: plugin, OAuth and invite paths get an immediate 308 with the query intact, everything else shows a short notice first. Removes the browser extension workspace.

chore(web): give the moved notice a proper design

Hostnames become the headline, one primary action, a draining line for the countdown, DM Sans and the dot-grid backdrop from the brand.

chore(docs): point docs and README at the console, drop stale sections

Docs and both READMEs now link to console.supermemory.ai for API keys. Removed the company-brain docs tab with a redirect, and trimmed the README app section.

chore(web): give the redirect five seconds
2026-09-07 19:56:46 +00:00
MaheshtheDev
4d8a4ebfdd fix(mcp): let getDocument read any accessible document (#1641)
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getDocument filtered on the caller's active space, so an ID from listDocuments in any other space returned "Document not found". With activeSpace unset the fallback is sm_project_default, which broke most cross-space reads.

The API already scopes document reads to the caller's org, so the extra filter added no protection. Verified locally against the mono API: own-space and cross-space IDs now resolve, foreign-org IDs still 404.
2026-09-02 21:49:57 +00:00
Luv
9a0c5a5ad6
docs: fixed typo in graph-memory.mdx (#1640) 2026-09-02 10:07:03 -07:00
MaheshtheDev
17eab43cd4 docs: add Cursor and Grok Bot plugin pages (#1635)
Ship dedicated integration docs and point the plugin catalog at them. Grok Bot stays to install, auth, and skills — no Cursor-only config or repo tags.
2026-09-01 20:51:54 +00:00
Dhravya
4ad5f0beb1
feat(sdk-playground): reflect SDK-owned memory block in debug view (#1533)
## Stack Context

Part 3 (top) of a 3-PR stack moving memory deduplication into the SDKs. See `sdk-dedup/tools-ts` for full context.

## What?

Update the SDK playground so its debug view reflects the SDK-owned memory block.

- Displays the current deduplicated `<supermemory>` replacement block produced by the SDK middleware, instead of the old browser-side "seen facts" delta.
- Adds a `memory-dedupe` helper and ignores local `*.tsbuildinfo`.

## Why?

The previous debug cards were misleading — they showed an incremental browser-filtered delta while the middleware actually re-injected the full profile. Now the visualization matches what the SDK really sends.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Low Risk**
> Playground-only visualization and chat gating changes; no production SDK or API behavior.
>
> **Overview**
> The playground **debug trace** now shows the **deduplicated memory block** the SDK middleware would inject (static → dynamic → search, mode-aware), instead of a misleading browser-side “new facts” delta. A new **`memory-dedupe`** helper mirrors `@supermemory/tools` middleware behavior and is applied when fetching container context and building middleware memory debug entries; the context preview card is relabeled to reflect that each turn **replaces** the prior `<supermemory>` block.
>
> **Chat UX:** messaging is enabled when API keys are configured on the **server** (`hasSupermemoryKey` / `hasOpenAiKey` from `/api/chat`), not only when keys are typed in the panel. The message input stays editable while waiting for text; Send still requires non-empty input.
>
> Also ignores `*.tsbuildinfo` in `.gitignore`.
>
> <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit ed15364eb3. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2026-09-01 06:10:37 +00:00
Dhravya
03773c4f2e
feat(python-sdks): SDK-level cross-source memory deduplication (#1532)
## Stack Context

Part 2 of a 3-PR stack moving memory deduplication into the SDKs. See `sdk-dedup/tools-ts` (parent) for the full context and the TypeScript implementation this mirrors.

## What?

Port the normalized, priority-ordered (`static > dynamic > search`) profile deduplication into the Python SDKs.

- Each request injects one **owned memory block that replaces** the prior block rather than accumulating.
- Dedup is **request-local** (no shared state), so it stays correct under concurrency.

Covers OpenAI, Agent Framework (middleware + context provider), Cartesia, and Pipecat.

## Why?

Keeps the Python SDKs at behavioral parity with the TypeScript SDK so all integrations deduplicate memory the same way.

## Testing

- OpenAI: 31 passed, 11 skipped (live)
- Agent Framework: 59 passed
- Cartesia: 8 passed
- Pipecat: 8 passed

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Medium Risk**
> Changes memory formatting and system-prompt injection across multiple SDK integrations; incorrect dedup or replacement could alter LLM context, but there is no auth or data-store risk.
>
> **Overview**
> Ports **normalized cross-source memory deduplication** and **replace-not-append injection** into the Python OpenAI, Agent Framework, Cartesia, and Pipecat packages so they match the TypeScript SDK behavior.
>
> **Deduplication** uses request-local keys: strip optional `[YYYY-MM-DD]` prefixes, normalize whitespace, and compare with `casefold`, with priority **static → dynamic → search**. In **`query` mode**, profile static/dynamic are excluded from dedup input so facts that only appear in search (or overlap profile) are not dropped before formatting.
>
> **Injection** no longer appends memory text every turn. OpenAI and Agent Framework middleware **strip prior owned `<supermemory context="user-memories" readonly>` blocks** and **replace** them once per request while keeping the caller’s system instructions; extra system messages lose stale blocks only. New helpers (`strip`/`replace`/`wrap`) live in each package’s utils.
>
> Tests cover normalized fact variants, query-mode search retention, and stale block replacement.
>
> <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit 42f308b224. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2026-09-01 06:10:36 +00:00
Dhravya
d0f53b0d64
feat(tools): SDK-level cross-source memory deduplication (#1531)
## Stack Context

This stack moves memory deduplication **out of the playground UI and into the SDKs themselves**, so every integration injects a single, deduplicated, self-replacing memory block. Three PRs:

1. **`sdk-dedup/tools-ts`** (this PR) — TypeScript SDK core + integrations
2. `sdk-dedup/python` — Python SDKs
3. `sdk-dedup/playground` — playground debug view reflects the SDK-owned block

## What?

Move profile deduplication into the SDK middleware for the TypeScript tools package.

- Facts are normalized (strip leading `[YYYY-MM-DD]`, trim, collapse whitespace, casefold) and deduplicated in **`static > dynamic > search`** priority within a single request.
- The result is injected as one **owned `<supermemory>` block** that *replaces* the previous block instead of accumulating a new one each turn.
- Dedup is **mode-aware**: in query mode, search results are not dropped against a profile that isn't being injected.
- Deduplication is **request-local** — no global/browser `Set`. Safe for multiple users, concurrent requests, and Cloudflare Worker isolates.

Covers AI SDK, OpenAI (Chat + Responses), Mastra, and VoltAgent. New `shared/memory-context.ts` owns the block-replacement logic.

## Why?

The earlier "conversation-scoped deduplication" was only a playground browser `Set` — a UI debug affordance that did not change what the SDK sent to the model, and would have been unsafe as server-side global state. Real cross-source dedup belongs in the SDK, applied fresh per stateless model request.

## Testing

- `bun run test` in `packages/tools`: 145 passed (the one failing suite, `claude-memory.test.ts`, is a pre-existing broken import unrelated to this change).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Medium Risk**
> Changes how system prompts and instructions are built across all TypeScript integrations; behavior is well-covered by unit tests but incorrect strip/replace logic could drop or duplicate context in production prompts.
>
> **Overview**
> Moves **cross-source memory deduplication** and **owned prompt injection** into `@supermemory/tools` so every integration sends one deduplicated memory block per request instead of growing context each turn.
>
> **Deduplication:** Facts are normalized via `normalizeMemoryFact` (strip `[YYYY-MM-DD]`, trim, collapse whitespace, lowercase) and deduplicated with **static → dynamic → search** priority. `deduplicateMemoriesForMode` keeps search hits in **query** mode when the profile is not injected.
>
> **Owned `<supermemory>` block:** New `shared/memory-context.ts` wraps memories in `<supermemory context="user-memories" readonly>`, strips stale blocks, and **replaces** prior SDK context while preserving caller system instructions. Applied in AI SDK (`injectMemoriesIntoParams`), OpenAI Chat/Responses middleware, Mastra input processor (`wrapMemoryContext`), and VoltAgent hooks.
>
> **Tests:** Unit coverage for block replacement (with-supermemory, OpenAI, VoltAgent), Mastra wrapper tag assertion, normalized dedup variants, and concurrent `containerTag` isolation.
>
> <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit 2fa2e0d85c. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2026-09-01 06:10:36 +00:00
Dhravya
b01d2b69a3
feat(sdk-playground): interactive SDK chat playground (#1437)
## Summary
- Add `apps/sdk-playground` — chat UI to test TS/Python SDK integrations
- Context panel with document memories, API keys in dashboard, tools reference tab
- Python FastAPI server on port 8792; portless entry in `portless.json`

Stacked on #1436

## Test plan
- [ ] `cd apps/sdk-playground && bun run check-types`
- [ ] `bun run dev` with Supermemory + OpenAI keys in UI
- [ ] Switch SDKs and verify chat + context panel

Made with [Cursor](https://cursor.com)
2026-09-01 06:10:36 +00:00
Dhravya
7974498062
chore(ci): wire JS tools unit tests into CI (#1436)
## Summary
- Add tools/ai-sdk unit test jobs to `ci.yml`
- Update `turbo.json` and root `package.json` scripts
- Refresh `bun.lock`

Stacked on #1435

## Test plan
- [ ] CI passes on this branch

Made with [Cursor](https://cursor.com)
2026-09-01 06:10:36 +00:00
Dhravya
4173edb9e6
docs(skills): refresh Supermemory skill for 7-tool parity (#1435)
## Summary
- Update `SKILL.md` with proactive search and full 7-tool surface
- Refresh `sdk-guide.md` with v4 API examples and tool descriptions

Stacked on #1434

## Test plan
- [ ] Review skill content for accuracy

Made with [Cursor](https://cursor.com)
2026-09-01 06:10:36 +00:00
Dhravya
c262cc9953
fix(python-sdks): v4 API migration for integration packages (#1434)
## Summary
- **agent-framework**: proactive search tool descriptions
- **cartesia / pipecat**: v4 `client.add` + hybrid search, dedupe fixes, tests

Stacked on #1433

## Test plan
- [ ] pytest in agent-framework, cartesia, pipecat packages

Made with [Cursor](https://cursor.com)
2026-09-01 06:10:36 +00:00
Dhravya Shah
879ddd5c95
docs: clarify customer content is never used to train models on any plan (#1613)
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
2026-08-31 23:09:30 -07:00
Dhravya
46d1b53230
feat(ai-sdk): re-export 7-tool surface (#1433)
## Summary
- Re-export full tool set from `@supermemory/tools/ai-sdk`
- Add unit tests for tool re-exports

Stacked on #1432

## Test plan
- [ ] `bun run test:unit` in `packages/ai-sdk`

Made with [Cursor](https://cursor.com)
2026-09-01 05:59:58 +00:00
Dhravya
de3bbb3ce9
feat(tools): 7-tool parity and description refresh (#1432)
## Summary
- Refresh canonical tool descriptions in `tools-shared.ts`
- Align OpenAI and AI SDK tool bindings with 7-tool surface
- Export `TOOL_DESCRIPTIONS` / `PARAMETER_DESCRIPTIONS` from package index

Stacked on #1431

## Test plan
- [ ] `bun run test:unit` in `packages/tools`

Made with [Cursor](https://cursor.com)
2026-09-01 05:59:57 +00:00
Dhravya Shah
5fee2f2872
docs(mcp): fix grammar in ChatGPT web plugin description (#1630)
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
2026-08-31 21:46:32 -07:00
Dhravya Shah
ece20ff53e
chore(ci): Python SDK pytest workflow (#1431)
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-31 21:39:36 -07:00
Dhravya
348483d5e8
feat(openai-sdk-python): 7-tool parity (#1430)
## Summary
- Expand `SupermemoryTools` from 2 tools to 7 (matches `@supermemory/tools`)
- Add `memory_forget` via shared HTTP helper
- Add document list/add/delete and get_profile tool surfaces
- Expand tests for new tools and execution paths

Stacked on #1429

## Test plan
- [x] `uv run pytest tests/test_tools.py::TestMemoryOperationsUnit`

Made with [Cursor](https://cursor.com)
2026-09-01 04:34:18 +00:00
Dhravya
c5b7e7d4fc
fix(openai-sdk-python): migrate to v4 Supermemory APIs (#1429)
## Summary
- Replace deprecated `search.execute` with `search.memories` (hybrid mode) in `search_memories`
- Replace `memories.add` with `client.add` in tools and middleware
- Fix middleware `container_tag` param (was incorrectly `container_tags`)
- Fix profile memory deduplication for string and Pydantic API items
- Bump `supermemory>=3.50` and `requires-python>=3.9`

## Test plan
- [x] `uv run pytest tests/test_tools.py::TestMemoryOperationsUnit`

Made with [Cursor](https://cursor.com)
2026-09-01 04:34:18 +00:00
MaheshtheDev
143024fa34 chore(web): forward legacy auth paths (#1631)
Forwards /auth/connect and /auth/agent-connect with the query string intact, and drops the pages they replaced.
2026-09-01 00:55:16 +00:00
MaheshtheDev
9ccd1b64c3 chore(web): clean up onboarding and dashboard surfaces (#1614)
Removes stale promo cards, banners, and the setup modal. Simplifies the onboarding entry so all new workspaces go through one flow.
2026-08-29 04:57:09 +00:00
Aditya kumar singh
d436792e77
docs: document self-hosted v0.0.5 model mixing bug and v0.0.7 resolution (#1450) (#1606) 2026-08-27 16:38:11 -07:00
MaheshtheDev
29c43984fe feat(web): pause Google Drive connect with a notify-me fallback (#1602)
![image.png](https://app.graphite.com/user-attachments/assets/6d7dd2cf-575b-450c-b7bb-c24b8ec834b9.png)

Google is not approving new authorizations while it re-reviews our app, so
every path that starts a new Google connection now shows a PAUSED badge and a
"Notify me" button instead of Connect.

- Existing connections are untouched: sync, file picking and history still work.
- Notify me fires a connector_paused_clicked PostHog event and remembers the
choice in localStorage, so we can pull who to email when the review clears.
- One list in lib/connector-availability.ts drives every surface; removing the
two entries turns Google back on.
2026-08-27 20:20:13 +00:00
MaheshtheDev
f11d8c4620 feat(web): drop the Web research row from Company Brain models (#1600)
The `research` / `researchEffort` model role no longer exists on the API,
so remove its card, its preset entries, and its types.
2026-08-26 19:07:56 +00:00
MaheshtheDev
9652478093 feat(web): offer a setup call alongside Slack install (#1599)
- First-landing modal on the Company Brain home: book a 30-min setup call, or install Slack yourself. Dismissal stored in localStorage.
- Setup call also reachable from a header icon, the user menu, and the onboarding research rail.
- Drops the desktop Invite button from the header; invite stays in the stats row and mobile menu.
2026-08-26 07:43:48 +00:00
MaheshtheDev
3f7b9667c6 chore: remove two dead onboarding routes and a note-content console.log (#1596)
Cherry-picks two cleanup PRs and finishes the job. Net 262 deletions.

- #1473 (@abhay-codes07): drops a `console.log` in the fullscreen note editor that printed the whole note body on every keystroke, which PostHog session replay can capture.
- #1563 (@ishaanxgupta): removes `/api/onboarding/research` and `/api/onboarding/extract-content`. Neither has a caller anywhere in the repo, and both spent metered Exa and xAI quota. This reverts the guards added for them in #1589, which only existed to make unreachable code safe.
- On top: `EXA_API_KEY`, `XAI_API_KEY` and the `@ai-sdk/xai` dependency are removed, since deleting those routes left them with no consumer.

Co-Authored-By: abhay-codes07 <182421137+abhay-codes07@users.noreply.github.com>
Co-Authored-By: ishaanxgupta <124028055+ishaanxgupta@users.noreply.github.com>
2026-08-25 10:19:47 +00:00
MaheshtheDev
e4afc770be feat(tools): apiKey option, type re-exports, and two reliability fixes (#1594)
Some checks failed
Publish Tools / publish (push) Has been cancelled
Cherry-picks four contributor PRs for `@supermemory/tools` onto one branch, and bumps the package to 2.2.0.

- #1244 (@rajarshidattapy): `withSupermemory` accepts `options.apiKey` instead of only reading `SUPERMEMORY_API_KEY`, matching the Vercel, Mastra and Voltagent integrations. Unblocks secrets managers, edge runtimes and per-request keys.
- #1574 (@Agnik47): re-exports `PromptTemplate`, `MemoryPromptData` and `WithSupermemoryOptions` from `ai-sdk`. `./vercel` is not a published subpath, so the documented custom-template example did not compile.
- #1488 (@abhinav7x94): malformed tool-call JSON returns an error result instead of throwing out of the request.
- #1507 (@abhinav7x94): VoltAgent `onEnd` awaits the conversation save, which was fire-and-forget and could be dropped when a serverless runtime tore down.

Dropped the `middleware.test.ts` added by #1244. Note that editing `packages/tools/package.json` triggers the npm publish workflow on merge.

Co-Authored-By: rajarshidattapy <138959719+rajarshidattapy@users.noreply.github.com>
Co-Authored-By: Agnik47 <140933190+Agnik47@users.noreply.github.com>
Co-Authored-By: abhinav7x94 <204053250+abhinav7x94@users.noreply.github.com>
2026-08-24 22:39:55 +00:00
MaheshtheDev
f051af098e fix(mcp): bound tool inputs and scope get_document to the active space (#1593)
Cherry-picks #1582, #1583, #1584 and #1585 from @Sravanjangam (security audit #1578) onto one branch.

- MCP: `get_document` scopes to the active space like its sibling read tools, `fetch-graph-data` bounds page/limit, `guided-save` caps prefill at 200k, and `whoAmI` no longer returns the transport session id.
- ai-sdk: search limit clamped to 1-50 with a 30s client timeout.
- validation: caps on `DocumentsWithMemoriesQuerySchema.limit` and `BulkDeleteMemoriesSchema.containerTags`.
- Raycast: `metadata.url` is parsed and only http(s) is offered to the OS opener.

Dropped his `add_memory` permission gate: it checked the target against the list of existing spaces, so writes to a new space failed and the no-active-space path surfaced `No write access to space "undefined"`. Write permission stays enforced in the API via `containerTagGate`.

Hardening and consistency rather than a security fix, since the API already enforces every permission boundary here.

Co-Authored-By: Sravanjangam <163002695+Sravanjangam@users.noreply.github.com>
2026-08-24 21:36:04 +00:00
MaheshtheDev
6cae175852 fix(mcp): return 503 on auth-backend outages instead of invalid_token (#1591)
Cherry-picks #1587 from @Sravanjangam, plus the OAuth half on top.

When the auth backend is slow or returns a 5xx, the MCP server currently answers `invalid_token`. That is the protocol's signal to discard the credential and re-authenticate, so a brief upstream blip logs every connected client out, and `sm_` API key users have no automatic way back. These requests now return 503 with `Retry-After: 5` so clients retry instead.

His change covered the API key path only. This shares one `transientAuthErrorFor` helper between `validateApiKey` and `validateOAuthToken`, so a JWKS timeout or a 5xx also returns 503 on the OAuth path that Claude, Cursor and browser clients use.

Genuinely bad tokens are unaffected: bad signature, expired, and no-matching-key still resolve to 401. Verified across all seven cases.

Co-Authored-By: Sravanjangam <163002695+Sravanjangam@users.noreply.github.com>
2026-08-24 15:53:06 +00:00
MaheshtheDev
3b0fc9c959 fix(web): authenticate and bound metered /api routes (#1589)
Cherry-picks #1579 and #1580 from @Sravanjangam (security audit #1578), plus improvements on top.

- `/api/og`, `/api/onboarding/extract-content` and `/api/onboarding/research` now verify the session against the auth backend; the middleware only checked that a cookie was present, so a forged cookie reached handlers that spend metered Exa/xAI quota.
- Bounds those routes: 2MB cap on fetched HTML, max 10 http(s) URLs per request, name/email length limits and a 60s timeout on the LLM call.
- De-duplicates URLs before calling Exa, and collapses whitespace in `name`/`email` so a newline can't forge extra prompt lines. Both adapted from @SEPURI-SAI-KRISHNA's #1528 and #1530.
- Deletes the unused, unauthenticated `account-status` route.

Verified locally: pre-fix `/api/og` returned 200 for a forged cookie, post-fix it returns 401. Five duplicate URLs collapse to two before reaching Exa, and a newline-laden `name` arrives as a single prompt line.

Supersedes #1528 and #1530.
2026-08-23 21:48:46 +00:00
Dhravya
3487666481
feat(web): add MCP connector directory (#1461)
<!-- VORFLUX_AGENT_PR_BODY_BEGIN -->
Adds the full 654-entry MCP directory without bundling records into client JavaScript, with explicit capability status and connector branding that degrades safely when no authoritative logo is available.

## Changes

- Lazy-load and validate the searchable, filterable, progressively rendered MCP catalog.
- Render same-origin proxied provider icons for 543 entries, with a reviewed domain allowlist and deterministic fallback marks for 111 unresolved or unbranded entries.
- Record OAuth discovery capability separately from end-to-end support; all directory setup actions remain suppressed until their authentication flow is verified.
- Add a reproducible OAuth metadata probe with HTTPS/private-network protections, stable URL keys, authorization-server scanning, and catalog fingerprint validation.
- Add Google Drive branding for the curated built-in connector.

## Testing

- **Passed:** Deterministic generation and catalog assertions.
  ```bash
  PATH="$HOME/.bun/bin:$PATH" python3 apps/web/scripts/generate-mcp-directory.py --output
  cmp apps/web/public/mcp-directory.json
  ```
  Verified 654 entries, 254 DCR discoveries, 27 preregistered OAuth discoveries, 373 unclassified entries, and zero directory setup actions.
- **Passed:** Stale OAuth metadata fingerprint is rejected by the generator.
- **Passed:** Touched-file Biome checks and `git diff --check`.
- **Passed:** Icon proxy returned 200 for an allowlisted domain and 400 for an unknown valid-looking domain.
- **Passed:** Authenticated desktop/mobile browser inspection and conservative capability labels.
- **Passed:** Public preview returned HTTP 200 and rendered the real app. Authentication cookies do not transfer to the public hostname, so the public screenshot shows login.
- **Partial:** Repository-wide TypeScript checks remain blocked by unrelated existing errors outside the touched MCP files.
- **Partial:** 111 entries intentionally retain deterministic fallback marks; endpoint-derived domains may not always be the canonical brand logo.
- **Blocked:** Google rejected the local HTTP OAuth callback, so live Google Drive consent, callback, persistence, tool discovery, disconnect, and reconnect were not completed.

Public preview: https://ar8ruchhbi65.preview.us1.vorflux.com/configure/tools

---
**Attached Images**

*[288.csv]*

*[mcp-directory-final.json]*

![mcp-directory-branding-desktop.png](https://api.us1.vorflux.com/assets/artifacts/c3VwZXJtZW1vcnk6Zjo4MDA0.3_UzR_OP9Jk228FYbrAPTXyqybRBlqwn5Uv4tksf_Y0.png)

![mcp-directory-branding-mobile.png](https://api.us1.vorflux.com/assets/artifacts/c3VwZXJtZW1vcnk6Zjo4MDA1.b5G6nsOBVm2s6DlEFWFiMFCcULAkV0MCCGZ8XVsA5js.png)

![mcp-directory-public-preview.png](https://api.us1.vorflux.com/assets/artifacts/c3VwZXJtZW1vcnk6Zjo4MDA2.ZrBAeBi62JX1xavAtaDLQ0fuixgBjN7x1NrqIxtdmKw.png)
<!-- VORFLUX_AGENT_PR_BODY_END -->

---
**Session Details**
- Session: [View Session](https://supermemory.us1.vorflux.com/agent-sessions/1cd0aab9-2a45-4818-aa13-f9bfe032ddba)
- Requested by: Dhravya Shah (dhravya@supermemory.com)
- Address comments on this PR. Add `(aside)` to your comment to have me ignore it.

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Medium Risk**
> Changes how users pick MCP URLs and auth (OAuth vs API key) before hitting existing connect endpoints; no new backend auth logic in this diff, but misconfiguration or trusting bad URLs remains a user-risk surface.
>
> **Overview**
> Adds a **browseable MCP directory** on the Company Brain connectors page: the catalog is **not bundled in JS**—it loads from static **`/mcp-directory.json`** only after the user opens the directory (with validation, caching, and abort handling).
>
> The new **`McpDirectoryBrowser`** supports search, category/availability filters, and progressive “show more” rendering. Supported remote entries route into the existing custom MCP flow via **Set up**, which pre-fills name/URL and opens the connector dialog with context-specific copy.
>
> The custom connector dialog now uses an explicit **OAuth vs API key** toggle; API key fields only appear for API-key mode, and directory-backed connections get **stable slugs** (`-dir-` suffix) so names display cleanly on connected cards. **Middleware** excludes `mcp-directory.json` from the auth matcher so the asset can be fetched publicly.
>
> <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit 8b59bae84a. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2026-08-20 22:58:39 +00:00
ishaanxgupta
dda56e766e Add plugin CLI command guide to integrations (#1534)
## Summary

- add an “Install plugins with one command” action beside the Plugins section

<img width="1280" height="651" alt="image" src="https://github.com/user-attachments/assets/a2e19a91-c94c-4a56-87c4-b72c4dbe89ba" />
<img width="1280" height="554" alt="image" src="https://github.com/user-attachments/assets/2cd4b3a4-ac30-4411-8221-baca09e90b0f" />
2026-08-20 18:07:31 +00:00
Dhravya Shah
818a83a381
fix(mcp): strip API extras from listMemories entries (#1539)
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-08-19 14:05:52 -07:00
Aditya Mishra
7b1175cb1a
fix(browser-extension): run wxt prepare before type checking (#1557) 2026-08-19 19:23:52 +05:30
Rajarshi Datta
20410a6862
fix(ui): remove the unused, broken AnonymousAuth component (#1555) 2026-08-19 19:22:17 +05:30
Rajarshi Datta
7d59070ad6
fix(web): scope the ?view=mcp guest exemption to / (#1553) 2026-08-19 18:33:58 +05:30
Dhravya
18a2dfbe39
feat(mcp): accept Supermemory API keys as Bearer auth (#1537)
## Stack Context

Single-auth story for the Claude Code supermemory plugin rework: the plugin's hooks and its MCP surface share one credential (`sm_` API key from the existing browser connect flow). That requires `mcp.supermemory.ai` to accept plain API keys, which it currently rejects (OAuth JWT only).

## What?

- `validateApiKey()` in `server/auth`: `sm_`-prefixed Bearer tokens validate via the existing `fetchSession()` (`GET /v3/session`) and map to the same `AuthUser` shape as OAuth tokens (`userId` ← `user.id`, `organizationId` ← `org.id`, the key itself as `bearerToken` for downstream API calls). Successful lookups cached per isolate for 60s.
- `handleMcpRequest` routes by token shape: `sm_` keys → session validation, everything else → OAuth JWT verification (unchanged).
- `sessionInfoSchema` now types the `org.id` field the session endpoint already returns.

## Why?

MCP clients that already hold an API key (Claude Code plugin hooks, CLI, scripts) can connect without an OAuth dance or a second consent. OAuth behavior is untouched — the existing "rejects opaque API keys" test on the OAuth validator still passes; keys just get their own path. Malformed keys are rejected without an API round-trip.

Tests: 4 new cases (valid key → AuthUser, cache hit → single fetch, 401 → null, malformed → no request). `vitest run src/server/auth` 13/13, `tsc --noEmit` clean.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Medium Risk**
> Adds a new authentication path on the MCP entrypoint with in-memory key caching (60s TTL), so revoked keys may remain valid briefly within an isolate; OAuth behavior is unchanged.
>
> **Overview**
> MCP Bearer auth now accepts **`sm_` Supermemory API keys** in addition to OAuth JWTs, so clients that already hold an API key can connect without OAuth.
>
> **`validateApiKey`** treats keys matching `sm_` plus at least 17 non-space characters as API keys: it calls **`GET /v3/session`** with the key as Bearer, maps **`user.id`** and **`org.id`** into the same **`AuthUser`** shape as OAuth (key kept as **`bearerToken`** for downstream API calls), and caches successful results per isolate for **60s** (up to 1000 entries, full clear on overflow). Malformed keys are rejected locally with no HTTP call; session **401** yields unauthenticated.
>
> **`handleMcpRequest`** branches on token shape: API keys go through session validation; other tokens still use JWT verification unchanged.
>
> **`sessionInfoSchema`** now includes optional **`org.id`** typing for session responses used when resolving organization context from API keys.
>
> <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit e54fb11bf1598d07a807eb2b0b63a347aaa58fb6. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2026-08-19 02:27:27 +00:00
MaheshtheDev
149589ae7e fix(brain): keep the confirmed company domain after checkout return (#1536)
Returning from Stripe remounts onboarding and reseeds the domain from the user's email, so the header showed the wrong company and a research retry would re-run on the wrong domain. Past the confirm step, read the org's stored brainWorkspaceDomain instead.
2026-08-18 23:13:12 +00:00
MaheshtheDev
c0eb81c887 refactor(brain): one isCompanyBrainOrg helper in the web app (#1535)
Two hand-rolled copies of the add-on/brainMode rule replaced by a single shared helper, and the one-line isCompanyBrainOrganization wrapper dropped. No behaviour change.
2026-08-18 23:13:12 +00:00
ishaanxgupta
e2be9c9edd Fix integrations layout and mobile promo responsiveness (#1481)
## Summary

- Reorder Apps & extensions so Import X bookmarks appears in the top row and Apple Shortcuts uses the open space below.
- Keep both Apple Shortcut actions inline on larger screens while allowing the card to grow only as much as needed.
- Rework the Company Brain promo on phones so its logo, copy, close control, and CTA remain readable and aligned.
2026-08-17 18:47:36 +00:00
Dhravya
5d2b5855fe
feat(auth): AgentID sign-in button on the web login page (#1467)
## What?

Adds a "Continue with AgentID" button to the web app's login page, matching the existing Google/GitHub buttons (same `ExternalAuthButton` pattern, PostHog `login_attempt` capture, last-used badge).

- `packages/lib/auth.ts`: adds the `genericOAuthClient` plugin — generic OAuth providers sign in via `signIn.oauth2({ providerId })`, not `signIn.social`.
- `apps/web/app/(auth)/login/page.tsx`: the button, gated the same way as the other social buttons — always shown on cloud (`NEXT_PUBLIC_HOST_ID === "supermemory"`), opt-in elsewhere via `NEXT_PUBLIC_AGENTID_AUTH_ENABLED` (added to `.env.example`).

## Why?

Companion to supermemoryai/mono#2908, which registers an `agentid` generic OAuth provider (OIDC against auth.agentid.com) on the API so agents can authenticate with their AgentID identity. The consumer app talks to the same better-auth server, so it gets the same sign-in option. mono#2916 additionally auto-invites the agent's verified human owner to the agent's workspace.

Requires mono#2908 to be deployed for the button to work; until then the API rejects the unknown provider and the page shows its normal error state.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Medium Risk**
> Touches authentication entry points and OAuth client configuration; risk is moderate because it extends login surface area but follows existing social sign-in patterns and is feature-flagged.
>
> **Overview**
> Adds **Continue with AgentID** on the web login page, using the same `ExternalAuthButton` flow as Google/GitHub (PostHog `login_attempt`, last-used badge, loading/error handling).
>
> The button calls **`signIn.oauth2({ providerId: "agentid" })`** instead of `signIn.social`, enabled by registering **`genericOAuthClient`** on the shared better-auth client in `packages/lib/auth.ts`.
>
> Visibility matches other social providers: shown on cloud when `NEXT_PUBLIC_HOST_ID === "supermemory"`, or elsewhere when **`NEXT_PUBLIC_AGENTID_AUTH_ENABLED`** is set (documented in `.env.example`). Depends on the API registering the `agentid` generic OAuth provider.
>
> <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit 90a32786a3. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2026-08-16 23:20:38 +00:00
Dhravya Shah
d14b209f7c
feat(web): support discount code checkout (#1523) 2026-08-16 13:43:53 -07:00
Ishaan Gupta
e651045ac5
Remove paid plugin UI (#1403) 2026-08-15 18:41:46 +05:30
573 changed files with 12664 additions and 92265 deletions

257
.github/workflows/ci-python.yml vendored Normal file
View file

@ -0,0 +1,257 @@
name: CI - Python SDKs
on:
pull_request:
paths:
- "packages/agent-framework-python/**"
- "packages/cartesia-sdk-python/**"
- "packages/openai-sdk-python/**"
- "packages/pipecat-sdk-python/**"
- ".github/workflows/ci-python.yml"
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
env:
PIP_DISABLE_PIP_VERSION_CHECK: "1"
jobs:
agent-framework-python:
name: agent-framework-python (${{ matrix.dependency-lane }}, Python ${{ matrix.python-version }})
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
include:
- python-version: "3.10"
dependency-lane: minimum-supermemory
supermemory-version: "3.16.0"
- python-version: "3.13"
dependency-lane: current-supermemory
supermemory-version: "3.59.0"
defaults:
run:
working-directory: packages/agent-framework-python
steps:
- name: Checkout code
uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python
uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: packages/agent-framework-python/pyproject.toml
- name: Install build and test tools
run: python -m pip install build pytest pytest-asyncio
- name: Build wheel
run: python -m build --wheel --outdir "$RUNNER_TEMP/wheels"
- name: Install wheel and tested Supermemory SDK
run: >-
python -m pip install "$RUNNER_TEMP"/wheels/*.whl
"supermemory==${{ matrix.supermemory-version }}"
- name: Check dependency compatibility
run: python -m pip check
- name: Verify installed wheel and SDK version
run: >-
python -c "from importlib.metadata import version; from pathlib import Path;
import supermemory_agent_framework;
assert version('supermemory') == '${{ matrix.supermemory-version }}';
assert 'site-packages' in Path(supermemory_agent_framework.__file__).parts"
- name: Run tests
run: python -m pytest
openai-sdk-python:
name: openai-sdk-python (${{ matrix.dependency-lane }}, Python ${{ matrix.python-version }})
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
include:
- python-version: "3.9"
dependency-lane: minimum-supermemory
supermemory-version: "3.50.0"
expected-supermemory-version: "3.50.0"
- python-version: "3.12"
dependency-lane: locked
supermemory-version: ""
expected-supermemory-version: "3.59.0"
defaults:
run:
working-directory: packages/openai-sdk-python
steps:
- name: Checkout code
uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python
uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: ${{ matrix.python-version }}
- name: Setup uv
uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1
with:
version: "0.12.5"
enable-cache: true
working-directory: packages/openai-sdk-python
cache-dependency-glob: uv.lock
- name: Install locked dependencies
run: uv sync --locked --python "${{ matrix.python-version }}"
- name: Build wheel
run: uv build --wheel --out-dir "$RUNNER_TEMP/wheels"
- name: Install built wheel
run: >-
uv pip install --python .venv/bin/python --reinstall --no-deps
"$RUNNER_TEMP"/wheels/*.whl
- name: Install minimum Supermemory SDK
if: matrix.supermemory-version != ''
run: >-
uv pip install --python .venv/bin/python
"supermemory==${{ matrix.supermemory-version }}"
- name: Check dependency compatibility
run: uv pip check --python .venv/bin/python
- name: Verify installed wheel and SDK version
run: >-
.venv/bin/python -c "from importlib.metadata import version;
from pathlib import Path; import supermemory_openai;
assert version('supermemory') == '${{ matrix.expected-supermemory-version }}';
assert 'site-packages' in Path(supermemory_openai.__file__).parts"
- name: Run tests without changing the verified environment
run: .venv/bin/python -m pytest
cartesia-sdk-python:
name: cartesia-sdk-python (${{ matrix.dependency-lane }}, Python ${{ matrix.python-version }})
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
include:
- python-version: "3.10"
dependency-lane: minimum-dependencies
supermemory-version: "3.16.0"
cartesia-line-version: "0.2.0"
- python-version: "3.12"
dependency-lane: current-dependencies
supermemory-version: "3.59.0"
cartesia-line-version: "0.2.17"
defaults:
run:
working-directory: packages/cartesia-sdk-python
steps:
- name: Checkout code
uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python
uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: packages/cartesia-sdk-python/pyproject.toml
- name: Install build and test tools
run: python -m pip install build pytest
- name: Build wheel
run: python -m build --wheel --outdir "$RUNNER_TEMP/wheels"
- name: Install wheel and tested runtime dependencies
run: >-
python -m pip install "$RUNNER_TEMP"/wheels/*.whl
"supermemory==${{ matrix.supermemory-version }}"
"cartesia-line==${{ matrix.cartesia-line-version }}"
- name: Check dependency compatibility
run: python -m pip check
- name: Verify real Cartesia Line integration and run tests
run: >-
python -c "from importlib.metadata import version;
from pathlib import Path; import line, pytest, supermemory_cartesia;
assert version('supermemory') == '${{ matrix.supermemory-version }}';
assert version('cartesia-line') == '${{ matrix.cartesia-line-version }}';
assert 'site-packages' in Path(supermemory_cartesia.__file__).parts;
result = pytest.main(['-W', 'ignore::pytest.PytestAssertRewriteWarning', 'tests']);
raise SystemExit(result)"
pipecat-sdk-python:
name: pipecat-sdk-python (${{ matrix.dependency-lane }}, Python ${{ matrix.python-version }})
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
include:
- python-version: "3.10"
dependency-lane: minimum-dependencies
supermemory-version: "3.16.0"
pipecat-version: "0.0.98"
- python-version: "3.12"
dependency-lane: current-dependencies
supermemory-version: "3.59.0"
pipecat-version: "1.7.0"
defaults:
run:
working-directory: packages/pipecat-sdk-python
steps:
- name: Checkout code
uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python
uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: ${{ matrix.python-version }}
cache: pip
cache-dependency-path: packages/pipecat-sdk-python/pyproject.toml
- name: Install build and test tools
run: python -m pip install build pytest
- name: Build wheel
run: python -m build --wheel --outdir "$RUNNER_TEMP/wheels"
- name: Install wheel and tested runtime dependencies
run: >-
python -m pip install "$RUNNER_TEMP"/wheels/*.whl
"supermemory==${{ matrix.supermemory-version }}"
"pipecat-ai==${{ matrix.pipecat-version }}"
- name: Check dependency compatibility
run: python -m pip check
- name: Verify real Pipecat integration and run tests
run: >-
python -c "from importlib.metadata import version;
from pathlib import Path; import pipecat, pytest, supermemory_pipecat;
assert version('supermemory') == '${{ matrix.supermemory-version }}';
assert version('pipecat-ai') == '${{ matrix.pipecat-version }}';
assert 'site-packages' in Path(supermemory_pipecat.__file__).parts;
result = pytest.main(['-W', 'ignore::pytest.PytestAssertRewriteWarning', 'tests']);
raise SystemExit(result)"

View file

@ -26,8 +26,83 @@ jobs:
- name: Install dependencies - name: Install dependencies
run: bun install --frozen-lockfile run: bun install --frozen-lockfile
- name: Run TypeScript type checking - name: Detect SDK and playground changes
run: bunx turbo run check-types --filter='@supermemory/ai-sdk' --filter='@supermemory/memory-graph' id: sdk-changes
run: |
if git diff --quiet "${{ github.event.pull_request.base.sha }}" HEAD -- packages/tools; then
echo "tools=false" >> "$GITHUB_OUTPUT"
else
echo "tools=true" >> "$GITHUB_OUTPUT"
fi
if git diff --quiet "${{ github.event.pull_request.base.sha }}" HEAD -- packages/ai-sdk; then
echo "ai_sdk=false" >> "$GITHUB_OUTPUT"
else
echo "ai_sdk=true" >> "$GITHUB_OUTPUT"
fi
if git diff --quiet "${{ github.event.pull_request.base.sha }}" HEAD -- apps/sdk-playground; then
echo "sdk_playground=false" >> "$GITHUB_OUTPUT"
else
echo "sdk_playground=true" >> "$GITHUB_OUTPUT"
fi
- name: Setup Python for SDK Playground
if: steps.sdk-changes.outputs.sdk_playground == 'true'
uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with:
python-version: "3.12"
- name: Setup uv for SDK Playground
if: steps.sdk-changes.outputs.sdk_playground == 'true'
uses: astral-sh/setup-uv@20cfd1bf945f4377ade1205e4dbc17946fc9a30d # v10.0.1
with:
version: "0.12.5"
enable-cache: true
working-directory: apps/sdk-playground/python
cache-dependency-glob: uv.lock
- name: Validate SDK Playground Python server
if: steps.sdk-changes.outputs.sdk_playground == 'true'
working-directory: apps/sdk-playground/python
run: |
uv sync --locked --python 3.12
.venv/bin/python -m py_compile server.py
.venv/bin/python -c "import server"
- name: Run Tools unit tests
if: steps.sdk-changes.outputs.tools == 'true'
run: bun run --cwd packages/tools test:unit
- name: Build Tools package
if: steps.sdk-changes.outputs.tools == 'true' || steps.sdk-changes.outputs.ai_sdk == 'true' || steps.sdk-changes.outputs.sdk_playground == 'true'
run: bun run --cwd packages/tools build
- name: Run AI SDK type checking
if: steps.sdk-changes.outputs.tools == 'true' || steps.sdk-changes.outputs.ai_sdk == 'true' || steps.sdk-changes.outputs.sdk_playground == 'true'
run: bun run --cwd packages/ai-sdk check-types
- name: Run AI SDK unit tests
if: steps.sdk-changes.outputs.ai_sdk == 'true'
run: bun run --cwd packages/ai-sdk test:unit
- name: Build AI SDK package
if: steps.sdk-changes.outputs.ai_sdk == 'true' || steps.sdk-changes.outputs.sdk_playground == 'true'
run: bun run --cwd packages/ai-sdk build
- name: Run SDK Playground type checking
if: steps.sdk-changes.outputs.sdk_playground == 'true'
run: bun run --cwd apps/sdk-playground check-types:app
- name: Build SDK Playground
if: steps.sdk-changes.outputs.sdk_playground == 'true'
run: bun run --cwd apps/sdk-playground build:app
- name: Run Memory Graph type checking
run: bun run --cwd packages/memory-graph check-types
- name: Run Memory Graph unit tests
run: bun run --cwd packages/memory-graph test
- name: Run Biome CI (format & lint on changed files) - name: Run Biome CI (format & lint on changed files)
run: bunx biome ci --changed --since=origin/main --no-errors-on-unmatched run: bunx biome ci --changed --since=origin/main --no-errors-on-unmatched

View file

@ -23,20 +23,22 @@ jobs:
working-directory: ./packages/agent-framework-python working-directory: ./packages/agent-framework-python
steps: steps:
- name: Checkout - name: Checkout
uses: actions/checkout@v4 uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python - name: Setup Python
uses: actions/setup-python@v5 uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with: with:
python-version: "3.12" python-version: "3.12"
- name: Install build dependencies - name: Install build dependencies
run: pip install hatchling build run: python -m pip install hatchling build
- name: Build package - name: Build package
run: python -m build run: python -m build
- name: Publish to PyPI - name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1 uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2
with: with:
packages-dir: packages/agent-framework-python/dist/ packages-dir: packages/agent-framework-python/dist/

View file

@ -38,26 +38,65 @@ jobs:
uses: oven-sh/setup-bun@v2 uses: oven-sh/setup-bun@v2
- name: Install dependencies - name: Install dependencies
run: bun install working-directory: .
run: bun install --frozen-lockfile
- name: Check if version changed - name: Check if version changed
id: version-check id: version-check
run: | run: |
PACKAGE_NAME=$(jq -r '.name' package.json) PACKAGE_NAME=$(jq -r '.name' package.json)
LOCAL_VERSION=$(jq -r '.version' package.json) LOCAL_VERSION=$(jq -r '.version' package.json)
NPM_VERSION=$(npm view "$PACKAGE_NAME" version 2>/dev/null || echo "0.0.0") if npm view "$PACKAGE_NAME@$LOCAL_VERSION" version >/dev/null 2>&1; then
if [ "$LOCAL_VERSION" = "$NPM_VERSION" ]; then
echo "Version $LOCAL_VERSION already published, skipping." echo "Version $LOCAL_VERSION already published, skipping."
echo "changed=false" >> "$GITHUB_OUTPUT" echo "changed=false" >> "$GITHUB_OUTPUT"
else else
echo "Publishing $LOCAL_VERSION (npm has $NPM_VERSION)" echo "Publishing $LOCAL_VERSION."
echo "changed=true" >> "$GITHUB_OUTPUT" echo "changed=true" >> "$GITHUB_OUTPUT"
fi fi
- name: Build - name: Wait for the Tools dependency
if: steps.version-check.outputs.changed == 'true'
run: |
TOOLS_SPEC=$(jq -r '.dependencies["@supermemory/tools"]' package.json)
TOOLS_VERSION=${TOOLS_SPEC#^}
TOOLS_VERSION=${TOOLS_VERSION#~}
if [[ ! "$TOOLS_VERSION" =~ ^[0-9]+\.[0-9]+\.[0-9]+([+-][0-9A-Za-z.-]+)?$ ]]; then
echo "Unsupported @supermemory/tools dependency spec: $TOOLS_SPEC" >&2
exit 1
fi
for attempt in {1..20}; do
PUBLISHED_VERSION=$(npm view "@supermemory/tools@$TOOLS_VERSION" version 2>/dev/null || true)
if [ "$PUBLISHED_VERSION" = "$TOOLS_VERSION" ]; then
echo "@supermemory/tools@$TOOLS_VERSION is available on npm."
exit 0
fi
echo "Waiting for @supermemory/tools@$TOOLS_VERSION (attempt $attempt/20)."
sleep 15
done
echo "@supermemory/tools@$TOOLS_VERSION was not published within five minutes." >&2
exit 1
- name: Build Tools dependency
if: steps.version-check.outputs.changed == 'true'
run: bun run --cwd ../tools build
- name: Build AI SDK package
if: steps.version-check.outputs.changed == 'true' if: steps.version-check.outputs.changed == 'true'
run: bun run build run: bun run build
- name: Verify packed artifact
if: steps.version-check.outputs.changed == 'true'
run: |
npm pack --dry-run --json > "$RUNNER_TEMP/ai-sdk-pack.json"
jq -e '
(.[0].files | any(.path == "dist/index.js")) and
(.[0].files | any(.path == "dist/index.d.ts"))
' "$RUNNER_TEMP/ai-sdk-pack.json" >/dev/null
- name: Publish - name: Publish
if: steps.version-check.outputs.changed == 'true' if: steps.version-check.outputs.changed == 'true'
run: npm publish --access public --provenance run: npm publish --access public --provenance

View file

@ -23,20 +23,22 @@ jobs:
working-directory: ./packages/cartesia-sdk-python working-directory: ./packages/cartesia-sdk-python
steps: steps:
- name: Checkout - name: Checkout
uses: actions/checkout@v4 uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python - name: Setup Python
uses: actions/setup-python@v5 uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with: with:
python-version: "3.12" python-version: "3.12"
- name: Install build dependencies - name: Install build dependencies
run: pip install hatchling build run: python -m pip install hatchling build
- name: Build package - name: Build package
run: python -m build run: python -m build
- name: Publish to PyPI - name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1 uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2
with: with:
packages-dir: packages/cartesia-sdk-python/dist/ packages-dir: packages/cartesia-sdk-python/dist/

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@ -23,20 +23,22 @@ jobs:
working-directory: ./packages/pipecat-sdk-python working-directory: ./packages/pipecat-sdk-python
steps: steps:
- name: Checkout - name: Checkout
uses: actions/checkout@v4 uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
with:
persist-credentials: false
- name: Setup Python - name: Setup Python
uses: actions/setup-python@v5 uses: actions/setup-python@5fda3b95a4ea91299a34e894583c3862153e4b97 # v7.0.0
with: with:
python-version: "3.12" python-version: "3.12"
- name: Install build dependencies - name: Install build dependencies
run: pip install hatchling build run: python -m pip install hatchling build
- name: Build package - name: Build package
run: python -m build run: python -m build
- name: Publish to PyPI - name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1 uses: pypa/gh-action-pypi-publish@dc37677b2e1c63e2034f94d8a5b11f265b73ba33 # v1.14.2
with: with:
packages-dir: packages/pipecat-sdk-python/dist/ packages-dir: packages/pipecat-sdk-python/dist/

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@ -7,7 +7,7 @@
</p> </p>
<p align="center"> <p align="center">
<strong>State-of-the-art memory and context engine for AI. And yes - you can use it as a company/personal brain.</strong> <strong>State-of-the-art memory and context engine for AI.</strong>
</p> </p>
<p align="center"> <p align="center">
@ -67,7 +67,7 @@ All of this is in our single memory structure and ontology.
<h3>🧑‍💻 I use AI tools</h3> <h3>🧑‍💻 I use AI tools</h3>
Build your own personal supermemory by using our app. Builds **persistent memory graph across every conversation**. Give Claude Code, Cursor, Codex and OpenCode **persistent memory across every conversation** with a plugin or the MCP server.
Your AI remembers your preferences, projects, past discussions — and gets smarter over time. Your AI remembers your preferences, projects, past discussions — and gets smarter over time.
@ -107,21 +107,11 @@ curl -fsSL https://supermemory.ai/install | bash
## Give your AI memory ## Give your AI memory
The Supermemory App, browser extension, plugins and MCP server gives any compatible AI assistant persistent memory. One install, and your AI remembers you. Plugins and the MCP server give any compatible AI assistant persistent memory. One install, and your AI remembers you.
### The app
You can use supermemory without any code, by using our consumer-facing app for free.
Start at https://app.supermemory.ai
<img width="1705" height="1030" alt="image" src="https://github.com/user-attachments/assets/5b43af30-b998-4585-8de6-f3e9a26d894a" />
It also comes with an agent embedded inside, which we call Nova.
### Supermemory Plugins ### Supermemory Plugins
Supermemory comes built with Plugins for Claude Code, OpenCode, OpenClaw, and Hermes. Supermemory comes built with plugins for Claude Code, Cursor, Codex, OpenCode, OpenClaw, and Hermes.
<img width="844" height="484" alt="image" src="https://github.com/user-attachments/assets/ecb879a2-8652-495d-9228-f305a97ba603" /> <img width="844" height="484" alt="image" src="https://github.com/user-attachments/assets/ecb879a2-8652-495d-9228-f305a97ba603" />
@ -129,8 +119,10 @@ These plugins are implementations of the supermemory API, and they are open sour
You can find them here: You can find them here:
- Openclaw plugin: https://github.com/supermemoryai/openclaw-supermemory - Claude Code plugin: https://github.com/supermemoryai/claude-supermemory
- Claude code plugin: https://github.com/supermemoryai/claude-supermemory - Cursor plugin: https://github.com/supermemoryai/cursor-supermemory
- Codex plugin: https://github.com/supermemoryai/codex-supermemory
- OpenClaw plugin: https://github.com/supermemoryai/openclaw-supermemory
- OpenCode plugin: https://github.com/supermemoryai/opencode-supermemory - OpenCode plugin: https://github.com/supermemoryai/opencode-supermemory
- Hermes agent (Supermemory memory provider): https://github.com/NousResearch/hermes-agent - Hermes agent (Supermemory memory provider): https://github.com/NousResearch/hermes-agent

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@ -7,7 +7,7 @@
</p> </p>
<p align="center"> <p align="center">
<strong>面向 AI 的记忆与上下文引擎,业界领先。也可以把它当作公司或个人的「大脑」来用。</strong> <strong>面向 AI 的记忆与上下文引擎,业界领先。</strong>
</p> </p>
<p align="center"> <p align="center">
@ -60,7 +60,7 @@ Supermemory 是为 AI 设计的记忆与上下文层。在 **[LongMemEval](https
<h3>🧑‍💻 我只是 AI 工具的用户</h3> <h3>🧑‍💻 我只是 AI 工具的用户</h3>
直接用我们的应用,给自己搭一份专属的 supermemory。它会**在每次对话之间维护一张持久的记忆图谱** 通过插件或 MCP 服务器,让 Claude Code、Cursor、Codex 和 OpenCode **在每次对话之间保持持久记忆**
你的 AI 会记住你的偏好、项目、历史讨论——而且越用越聪明。 你的 AI 会记住你的偏好、项目、历史讨论——而且越用越聪明。
@ -85,28 +85,20 @@ Supermemory 是为 AI 设计的记忆与上下文层。在 **[LongMemEval](https
## 给你的 AI 装上记忆 ## 给你的 AI 装上记忆
Supermemory 的应用、浏览器扩展、插件和 MCP 服务器,可以为任何兼容的 AI 助手提供持久记忆。装一次AI 从此记住你。 插件和 MCP 服务器可以为任何兼容的 AI 助手提供持久记忆。装一次AI 从此记住你。
### 应用
不用写代码,直接用我们面向消费者的应用——免费。
入口https://app.supermemory.ai
<img width="1705" height="1030" alt="image" src="https://github.com/user-attachments/assets/5b43af30-b998-4585-8de6-f3e9a26d894a" />
应用里内置了一个 agent我们叫它 Nova。
### Supermemory 插件 ### Supermemory 插件
Supermemory 已经为 Claude Code、OpenCode、OpenClaw、Hermes 提供了开箱即用的插件。 Supermemory 已经为 Claude Code、Cursor、Codex、OpenCode、OpenClaw、Hermes 提供了开箱即用的插件。
<img width="844" height="484" alt="image" src="https://github.com/user-attachments/assets/ecb879a2-8652-495d-9228-f305a97ba603" /> <img width="844" height="484" alt="image" src="https://github.com/user-attachments/assets/ecb879a2-8652-495d-9228-f305a97ba603" />
这些插件本质上是 supermemory API 的实现,全部开源: 这些插件本质上是 supermemory API 的实现,全部开源:
- Openclaw 插件https://github.com/supermemoryai/openclaw-supermemory
- Claude Code 插件https://github.com/supermemoryai/claude-supermemory - Claude Code 插件https://github.com/supermemoryai/claude-supermemory
- Cursor 插件https://github.com/supermemoryai/cursor-supermemory
- Codex 插件https://github.com/supermemoryai/codex-supermemory
- OpenClaw 插件https://github.com/supermemoryai/openclaw-supermemory
- OpenCode 插件https://github.com/supermemoryai/opencode-supermemory - OpenCode 插件https://github.com/supermemoryai/opencode-supermemory
- Hermes agentSupermemory 作为记忆 providerhttps://github.com/NousResearch/hermes-agent - Hermes agentSupermemory 作为记忆 providerhttps://github.com/NousResearch/hermes-agent

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@ -1,2 +0,0 @@
# PostHog Configuration
WXT_POSTHOG_API_KEY=your_posthog_project_api_key_here

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@ -1,26 +0,0 @@
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
.output
stats.html
stats-*.json
.wxt
web-ext.config.ts
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

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@ -1 +0,0 @@
## supermemory Browser Extension

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@ -1,18 +0,0 @@
export function RightArrow({ className }: { className?: string }) {
return (
<svg
width="10"
height="11"
viewBox="0 0 10 11"
fill="none"
xmlns="http://www.w3.org/2000/svg"
className={className}
>
<title>Right arrow</title>
<path
d="M-1.26511e-05 5.82399V4.53599H7.81199L3.90599 0.895994L4.78799 -6.19888e-06L9.79999 4.77399V5.54399L4.78799 10.332L3.90599 9.43599L7.78399 5.82399H-1.26511e-05Z"
fill="#737373"
/>
</svg>
)
}

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@ -1,353 +0,0 @@
import {
getDefaultProject,
saveMemory,
searchMemories,
fetchProjects,
} from "../utils/api"
import {
CONTAINER_TAGS,
MESSAGE_TYPES,
POSTHOG_EVENT_KEY,
} from "../utils/constants"
import { trackEvent } from "../utils/posthog"
import { captureTwitterTokens } from "../utils/twitter-auth"
import {
type TwitterImportConfig,
TwitterImporter,
} from "../utils/twitter-import"
import type {
ExtensionMessage,
MemoryData,
MemoryPayload,
} from "../utils/types"
const PLATFORM_LABELS: Record<string, string> = {
chatgpt: "ChatGPT",
claude: "Claude",
gemini: "Gemini",
t3: "T3 Chat",
twitter: "X / Twitter",
}
function normalizePlatform(value?: string): string | undefined {
if (!value) return undefined
return value
.toLowerCase()
.replace(/[^a-z0-9]+/g, "_")
.replace(/^_+|_+$/g, "")
}
function inferPlatformFromActionSource(
actionSource: string,
): string | undefined {
const source = actionSource.toLowerCase()
if (source.includes("chatgpt")) return "chatgpt"
if (source.includes("claude")) return "claude"
if (source.includes("gemini")) return "gemini"
if (source.includes("t3")) return "t3"
if (source.includes("twitter") || source.includes("x_")) return "twitter"
return undefined
}
function inferPlatformFromUrl(url?: string): string | undefined {
if (!url) return undefined
try {
const hostname = new URL(url).hostname
if (hostname === "chatgpt.com" || hostname === "chat.openai.com") {
return "chatgpt"
}
if (hostname === "claude.ai") return "claude"
if (hostname === "gemini.google.com") return "gemini"
if (hostname === "t3.chat") return "t3"
if (hostname === "x.com" || hostname === "twitter.com") return "twitter"
} catch {
return undefined
}
}
export default defineBackground(() => {
let twitterImporter: TwitterImporter | null = null
browser.runtime.onInstalled.addListener(async (details) => {
if (details.reason === "install" || details.reason === "update") {
await trackEvent("extension_installed", {
reason: details.reason,
version: browser.runtime.getManifest().version,
})
browser.tabs.create({
url: browser.runtime.getURL("/welcome.html"),
})
}
})
// Intercept Twitter requests to capture authentication headers.
browser.webRequest.onBeforeSendHeaders.addListener(
(details) => {
captureTwitterTokens(details)
return {}
},
{ urls: ["*://x.com/*", "*://twitter.com/*"] },
["requestHeaders", "extraHeaders"],
)
// Send message to current active tab.
const sendMessageToCurrentTab = async (message: string) => {
const tabs = await browser.tabs.query({
active: true,
currentWindow: true,
})
if (tabs.length > 0 && tabs[0].id) {
await browser.tabs.sendMessage(tabs[0].id, {
type: MESSAGE_TYPES.IMPORT_UPDATE,
importedMessage: message,
})
}
}
/**
* Send import completion message
*/
const sendImportDoneMessage = async (totalImported: number) => {
const tabs = await browser.tabs.query({
active: true,
currentWindow: true,
})
if (tabs.length > 0 && tabs[0].id) {
await browser.tabs.sendMessage(tabs[0].id, {
type: MESSAGE_TYPES.IMPORT_DONE,
totalImported,
})
}
}
/**
* Save memory to supermemory API
*/
const saveMemoryToSupermemory = async (
data: MemoryData,
actionSource: string,
): Promise<{ success: boolean; data?: unknown; error?: string }> => {
try {
let containerTag: string = CONTAINER_TAGS.DEFAULT_PROJECT
try {
const defaultProject = await getDefaultProject()
if (defaultProject?.containerTag) {
containerTag = defaultProject.containerTag
}
} catch (error) {
console.warn("Failed to get default project, using fallback:", error)
}
let content: string
if (data.content) {
content = data.content
} else if (data.highlightedText) {
content = `${data.highlightedText}\n\n${data?.url || ""}`
} else if (data.markdown) {
content = `${data.markdown}\n\n${data?.url || ""}`
} else if (data.html) {
content = `${data.html}\n\n${data?.url || ""}`
} else {
content = data?.url || ""
}
const platform =
normalizePlatform(data.sourcePlatform) ||
inferPlatformFromUrl(data.url) ||
inferPlatformFromActionSource(actionSource)
const platformLabel = platform
? data.sourcePlatformLabel || PLATFORM_LABELS[platform] || platform
: undefined
const metadata: MemoryPayload["metadata"] = {
sm_source: "consumer",
sm_origin: "browser_extension",
sm_origin_action: actionSource,
website_url: data.url,
}
if (platform) {
metadata.sm_origin_platform = platform
}
if (platformLabel) {
metadata.sm_origin_platform_label = platformLabel
}
if (data.sourceSurface) {
metadata.sm_origin_surface = data.sourceSurface
}
if (data.ogImage) {
metadata.website_og_image = data.ogImage
}
if (data.title) {
metadata.website_title = data.title
}
const payload: MemoryPayload = {
containerTags: [containerTag],
content,
metadata,
}
const responseData = await saveMemory(payload)
await trackEvent(POSTHOG_EVENT_KEY.SAVE_MEMORY_ATTEMPTED, {
source: `${POSTHOG_EVENT_KEY.SOURCE}_${actionSource}`,
has_highlight: !!data.highlightedText,
url_domain: data.url ? new URL(data.url).hostname : undefined,
})
return { success: true, data: responseData }
} catch (error) {
return {
success: false,
error: error instanceof Error ? error.message : "Unknown error",
}
}
}
const getRelatedMemories = async (
data: string,
eventSource: string,
): Promise<{ success: boolean; data?: unknown; error?: string }> => {
try {
let containerTag: string = CONTAINER_TAGS.DEFAULT_PROJECT
try {
const defaultProject = await getDefaultProject()
if (defaultProject?.containerTag) {
containerTag = defaultProject.containerTag
}
} catch (error) {
console.warn("Failed to get default project, using fallback:", error)
}
const responseData = await searchMemories(data, containerTag)
const response = responseData as {
results?: Array<{ memory?: string }>
}
const memories: string[] = []
response.results?.forEach((result, index) => {
memories.push(`${index + 1}. ${result.memory} \n`)
})
await trackEvent(eventSource)
return { success: true, data: memories }
} catch (error) {
return {
success: false,
error: error instanceof Error ? error.message : "Unknown error",
}
}
}
/**
* Handle extension messages
*/
browser.runtime.onMessage.addListener(
(message: ExtensionMessage, _sender, sendResponse) => {
// Handle Twitter import request
if (message.type === MESSAGE_TYPES.BATCH_IMPORT_ALL) {
const importConfig: TwitterImportConfig = {
isFolderImport: message.isFolderImport,
bookmarkCollectionId: message.bookmarkCollectionId,
selectedProject: message.selectedProject,
onProgress: sendMessageToCurrentTab,
onComplete: sendImportDoneMessage,
onError: async (error: Error) => {
await sendMessageToCurrentTab(`Error: ${error.message}`)
},
}
twitterImporter = new TwitterImporter(importConfig)
twitterImporter.startImport().catch(console.error)
sendResponse({ success: true })
return true
}
// Handle regular memory save request
if (message.action === MESSAGE_TYPES.SAVE_MEMORY) {
;(async () => {
try {
const result = await saveMemoryToSupermemory(
message.data as MemoryData,
message.actionSource || "unknown",
)
sendResponse(result)
} catch (error) {
sendResponse({
success: false,
error: error instanceof Error ? error.message : "Unknown error",
})
}
})()
return true
}
if (message.action === MESSAGE_TYPES.GET_RELATED_MEMORIES) {
;(async () => {
try {
const result = await getRelatedMemories(
message.data as string,
message.actionSource || "unknown",
)
sendResponse(result)
} catch (error) {
sendResponse({
success: false,
error: error instanceof Error ? error.message : "Unknown error",
})
}
})()
return true
}
if (message.action === MESSAGE_TYPES.CAPTURE_PROMPT) {
;(async () => {
try {
const messageData = message.data as {
prompt: string
platform: string
source: string
}
const memoryData: MemoryData = {
content: messageData.prompt,
url: messageData.source,
sourcePlatform: messageData.platform,
sourceSurface: "prompt_capture",
}
const result = await saveMemoryToSupermemory(
memoryData,
`prompt_capture_${messageData.platform}`,
)
sendResponse(result)
} catch (error) {
sendResponse({
success: false,
error: error instanceof Error ? error.message : "Unknown error",
})
}
})()
return true
}
if (message.action === MESSAGE_TYPES.FETCH_PROJECTS) {
;(async () => {
try {
const projects = await fetchProjects()
sendResponse({ success: true, data: projects })
} catch (error) {
sendResponse({
success: false,
error: error instanceof Error ? error.message : "Unknown error",
})
}
})()
return true
}
},
)
})

View file

@ -1,783 +0,0 @@
import {
DOMAINS,
ELEMENT_IDS,
MESSAGE_TYPES,
POSTHOG_EVENT_KEY,
UI_CONFIG,
} from "../../utils/constants"
import {
autoSearchEnabled,
autoCapturePromptsEnabled,
} from "../../utils/storage"
import {
createChatGPTInputBarElement,
DOMUtils,
} from "../../utils/ui-components"
import {
acceptMemorySuggestion,
clearMemorySuggestion,
hasAcceptedSupermemoryContext,
serializeMemoriesForDataset,
setMemoryMarkerStatus,
showLoadingSuggestion,
showMarkerPopover,
showMemorySuggestion,
syncAcceptedSupermemoryState,
} from "./memory-suggestion"
let chatGPTDebounceTimeout: NodeJS.Timeout | null = null
let chatGPTRouteObserver: MutationObserver | null = null
let chatGPTUrlCheckInterval: NodeJS.Timeout | null = null
let chatGPTObserverThrottle: NodeJS.Timeout | null = null
const CHATGPT_DEBUG = false
const CHATGPT_LOG_PREFIX = "[supermemory:chatgpt]"
export function initializeChatGPT() {
debugChatGPT("initializeChatGPT called", {
host: window.location.hostname,
href: window.location.href,
})
if (!DOMUtils.isOnDomain(DOMAINS.CHATGPT)) {
debugChatGPT("not on ChatGPT domain, skipping")
return
}
if (document.body.hasAttribute("data-chatgpt-initialized")) {
debugChatGPT("already initialized")
return
}
setTimeout(() => {
addSupermemoryButtonToMemoriesDialog()
addSaveChatGPTElementBeforeComposerBtn()
setupChatGPTAutoFetch()
}, 2000)
setupChatGPTPromptCapture()
setupChatGPTRouteChangeDetection()
document.body.setAttribute("data-chatgpt-initialized", "true")
debugChatGPT("initialized listeners")
}
function debugChatGPT(message: string, data?: unknown) {
if (!CHATGPT_DEBUG) return
if (data === undefined) {
console.log(CHATGPT_LOG_PREFIX, message)
return
}
console.log(CHATGPT_LOG_PREFIX, message, data)
}
function setupChatGPTRouteChangeDetection() {
if (chatGPTRouteObserver) {
chatGPTRouteObserver.disconnect()
}
if (chatGPTUrlCheckInterval) {
clearInterval(chatGPTUrlCheckInterval)
}
if (chatGPTObserverThrottle) {
clearTimeout(chatGPTObserverThrottle)
chatGPTObserverThrottle = null
}
let currentUrl = window.location.href
const checkForRouteChange = () => {
if (window.location.href !== currentUrl) {
currentUrl = window.location.href
debugChatGPT("route changed, re-adding supermemory elements", currentUrl)
setTimeout(() => {
addSupermemoryButtonToMemoriesDialog()
addSaveChatGPTElementBeforeComposerBtn()
setupChatGPTAutoFetch()
}, 1000)
}
}
chatGPTUrlCheckInterval = setInterval(checkForRouteChange, 2000)
chatGPTRouteObserver = new MutationObserver((mutations) => {
if (chatGPTObserverThrottle) {
return
}
let shouldRecheck = false
mutations.forEach((mutation) => {
if (mutation.type === "childList" && mutation.addedNodes.length > 0) {
mutation.addedNodes.forEach((node) => {
if (node.nodeType === Node.ELEMENT_NODE) {
const element = node as Element
if (
element.querySelector?.("#prompt-textarea") ||
element.querySelector?.("button.composer-btn") ||
element.querySelector?.("button") ||
element.querySelector?.('[role="dialog"]') ||
element.matches?.("#prompt-textarea") ||
element.matches?.("button") ||
element.id === "prompt-textarea"
) {
shouldRecheck = true
}
}
})
}
})
if (shouldRecheck) {
chatGPTObserverThrottle = setTimeout(() => {
try {
chatGPTObserverThrottle = null
debugChatGPT("DOM changed near composer, rechecking UI")
addSupermemoryButtonToMemoriesDialog()
addSaveChatGPTElementBeforeComposerBtn()
setupChatGPTAutoFetch()
} catch (error) {
console.error("Error in ChatGPT observer callback:", error)
}
}, 300)
}
})
try {
chatGPTRouteObserver.observe(document.body, {
childList: true,
subtree: true,
})
} catch (error) {
console.error("Failed to set up ChatGPT route observer:", error)
if (chatGPTUrlCheckInterval) {
clearInterval(chatGPTUrlCheckInterval)
}
chatGPTUrlCheckInterval = setInterval(checkForRouteChange, 1000)
}
}
async function getRelatedMemoriesForChatGPT(actionSource: string) {
try {
const isAutoSearch =
actionSource === POSTHOG_EVENT_KEY.CHATGPT_CHAT_MEMORIES_AUTO_SEARCHED
const userQuery =
document.getElementById("prompt-textarea")?.textContent || ""
const icon = document.querySelectorAll(
'[id*="sm-chatgpt-input-bar-element-before-composer"]',
)[0]
const iconElement = icon as HTMLElement
if (!iconElement) {
console.warn("ChatGPT icon element not found, cannot update feedback")
return
}
if (isAutoSearch) {
const promptElement = document.getElementById("prompt-textarea")
if (promptElement) {
showLoadingSuggestion("chatgpt", promptElement)
}
setMemoryMarkerStatus(iconElement, "searching")
} else {
updateChatGPTIconFeedback("Searching memories...", iconElement)
}
const timeoutPromise = new Promise((_, reject) =>
setTimeout(
() => reject(new Error("Memory search timeout")),
UI_CONFIG.API_REQUEST_TIMEOUT,
),
)
const response = await Promise.race([
browser.runtime.sendMessage({
action: MESSAGE_TYPES.GET_RELATED_MEMORIES,
data: userQuery,
actionSource: actionSource,
}),
timeoutPromise,
])
if (response?.success && response?.data) {
const promptElement = document.getElementById("prompt-textarea")
if (promptElement) {
const memoryText = showMemorySuggestion(
"chatgpt",
promptElement,
response.data,
)
debugChatGPT("memory suggestion rendered", {
memoryLength: memoryText.length,
})
iconElement.dataset.memoriesData = serializeMemoriesForDataset(
response.data,
)
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "found")
} else {
updateChatGPTIconFeedback("Included Memories", iconElement)
}
} else {
console.warn(
"ChatGPT prompt element not found after successful memory fetch",
)
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "found")
} else {
updateChatGPTIconFeedback("Memories found", iconElement)
}
}
} else {
console.warn("No memories found or API response invalid")
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "none")
} else {
updateChatGPTIconFeedback("No memories found", iconElement)
}
}
} catch (error) {
console.error("Error getting related memories:", error)
try {
const icon = document.querySelectorAll(
'[id*="sm-chatgpt-input-bar-element-before-composer"]',
)[0] as HTMLElement
if (icon) {
if (
actionSource === POSTHOG_EVENT_KEY.CHATGPT_CHAT_MEMORIES_AUTO_SEARCHED
) {
setMemoryMarkerStatus(icon, "error")
} else {
updateChatGPTIconFeedback("Error fetching memories", icon)
}
}
} catch (feedbackError) {
console.error("Failed to update error feedback:", feedbackError)
}
}
}
function addSupermemoryButtonToMemoriesDialog() {
const dialogs = document.querySelectorAll('[role="dialog"]')
let memoriesDialog: HTMLElement | null = null
for (const dialog of dialogs) {
const headerText = dialog.querySelector("h2")
if (headerText?.textContent?.includes("Saved memories")) {
memoriesDialog = dialog as HTMLElement
break
}
}
if (!memoriesDialog) return
if (memoriesDialog.querySelector("#supermemory-save-button")) return
const deleteAllContainer = memoriesDialog.querySelector(
".flex.items-center.gap-0\\.5",
)
if (!deleteAllContainer) return
const supermemoryButton = document.createElement("button")
supermemoryButton.id = "supermemory-save-button"
supermemoryButton.className = "btn relative btn-primary-outline mr-2"
const iconUrl = browser.runtime.getURL("/new_logo.png")
supermemoryButton.innerHTML = `
<div class="flex items-center justify-center gap-2">
<img src="${iconUrl}" alt="supermemory" style="width: 16px; height: 16px; flex-shrink: 0; border-radius: 2px;" />
Save to supermemory
</div>
`
supermemoryButton.style.cssText = `
background: #1C2026 !important;
color: white !important;
border: 1px solid #1C2026 !important;
border-radius: 9999px !important;
padding: 10px 16px !important;
font-weight: 500 !important;
font-size: 14px !important;
margin-right: 8px !important;
cursor: pointer !important;
`
supermemoryButton.addEventListener("mouseenter", () => {
supermemoryButton.style.backgroundColor = "#2B2E33"
})
supermemoryButton.addEventListener("mouseleave", () => {
supermemoryButton.style.backgroundColor = "#1C2026"
})
supermemoryButton.addEventListener("click", async () => {
await saveMemoriesToSupermemory()
})
deleteAllContainer.insertBefore(
supermemoryButton,
deleteAllContainer.firstChild,
)
}
async function saveMemoriesToSupermemory() {
try {
DOMUtils.showToast("loading")
const memoriesTable = document.querySelector('[role="dialog"] table tbody')
if (!memoriesTable) {
DOMUtils.showToast("error")
return
}
if (!memoriesTable.textContent) {
DOMUtils.showToast("error")
return
}
const combinedContent = `Memories from ChatGPT:\n\n${memoriesTable.textContent}`
const response = await browser.runtime.sendMessage({
action: MESSAGE_TYPES.SAVE_MEMORY,
data: {
html: combinedContent,
sourcePlatform: "chatgpt",
sourceSurface: "memories_dialog",
url: window.location.href,
},
actionSource: "chatgpt_memories_dialog",
})
debugChatGPT("memory dialog saved", {
success: response.success,
})
if (response.success) {
DOMUtils.showToast("success")
} else {
DOMUtils.showToast("error")
}
} catch (error) {
console.error("Error saving memories to supermemory:", error)
DOMUtils.showToast("error")
}
}
function updateChatGPTIconFeedback(
message: string,
iconElement: HTMLElement,
resetAfter = 0,
) {
const memories = iconElement.dataset.memoriesData
const fallbackReset =
resetAfter || (message === "Included Memories" ? 0 : 2200)
if (message === "Included Memories" || message === "Memories found") {
setMemoryMarkerStatus(iconElement, "found")
showMarkerPopover(iconElement, "Included Memories", memories)
return
}
if (message.toLowerCase().includes("searching")) {
setMemoryMarkerStatus(iconElement, "searching")
showMarkerPopover(iconElement, message)
return
}
setMemoryMarkerStatus(
iconElement,
message.toLowerCase().includes("error") ? "error" : "none",
)
showMarkerPopover(iconElement, message, undefined, fallbackReset)
}
function addSaveChatGPTElementBeforeComposerBtn() {
const promptInput = getChatGPTPromptInput()
if (!promptInput) {
debugChatGPT("prompt input not found", getChatGPTDomSnapshot())
return
}
const composer = findChatGPTComposerRoot(promptInput)
if (!composer?.querySelector) {
debugChatGPT("composer root not found", describeElement(promptInput))
return
}
const existingMarkers = Array.from(
document.querySelectorAll(
`[id*="${ELEMENT_IDS.CHATGPT_INPUT_BAR_ELEMENT}-before-composer"]`,
),
)
if (existingMarkers.length > 1) {
debugChatGPT("removed duplicate markers", existingMarkers.length)
for (const marker of existingMarkers) {
marker.remove()
}
} else if (existingMarkers.length === 1) {
debugChatGPT("marker already exists")
return
}
const buttons = findChatGPTComposerButtons(promptInput, composer)
debugChatGPT("candidate ChatGPT buttons", {
input: describeElement(promptInput),
composer: describeElement(composer),
buttons: buttons.map((button) => ({
label: buttonLabel(button),
element: describeElement(button),
})),
})
const micButton = buttons.find((button) => isChatGPTMicButton(button))
const voiceButton = buttons.find((button) => isChatGPTVoiceButton(button))
const sendButton = buttons.find((button) => isChatGPTSendButton(button))
const anchorButton =
micButton || voiceButton || sendButton || buttons[buttons.length - 1]
const anchorSlot = findChatGPTButtonSlot(anchorButton, composer)
const speechContainer = composer.querySelector(
'[data-testid="composer-speech-button-container"]',
) as HTMLElement | null
const targetContainer =
anchorSlot?.parentElement ||
speechContainer?.parentElement ||
promptInput.parentElement
if (!targetContainer) {
debugChatGPT("could not find insertion target", {
anchor: anchorButton ? describeElement(anchorButton) : null,
input: describeElement(promptInput),
})
return
}
const saveChatGPTElement = createChatGPTInputBarElement(async () => {
await getRelatedMemoriesForChatGPT(
POSTHOG_EVENT_KEY.CHATGPT_CHAT_MEMORIES_SEARCHED,
)
})
saveChatGPTElement.id = `${ELEMENT_IDS.CHATGPT_INPUT_BAR_ELEMENT}-before-composer-${Date.now()}-${Math.random().toString(36).substring(2, 11)}`
if (anchorSlot?.parentElement === targetContainer) {
targetContainer.insertBefore(saveChatGPTElement, anchorSlot)
debugChatGPT("inserted marker before anchor button", {
anchorLabel: anchorButton ? buttonLabel(anchorButton) : null,
anchorSlot: describeElement(anchorSlot),
target: describeElement(targetContainer),
})
} else {
targetContainer.appendChild(saveChatGPTElement)
debugChatGPT("inserted marker into fallback target", {
target: describeElement(targetContainer),
})
}
setupChatGPTAutoFetch()
}
function getChatGPTPromptInput(): HTMLElement | null {
return document.querySelector(
'#prompt-textarea, [data-testid="prompt-textarea"], div[contenteditable="true"]',
) as HTMLElement | null
}
function findChatGPTComposerRoot(input: HTMLElement): HTMLElement {
const form = input.closest("form") as HTMLElement | null
if (form) return form
let current: HTMLElement | null = input
for (let depth = 0; current && depth < 8; depth += 1) {
if (current.querySelectorAll("button").length >= 2) {
return current
}
current = current.parentElement
}
return input.parentElement || document.body
}
function findChatGPTComposerButtons(
input: HTMLElement,
composer: HTMLElement,
): HTMLButtonElement[] {
const composerButtons = Array.from(composer.querySelectorAll("button"))
if (composerButtons.length > 0) {
return composerButtons
}
const inputRect = input.getBoundingClientRect()
const allButtons = Array.from(document.querySelectorAll("button"))
return allButtons.filter((button) => {
const rect = button.getBoundingClientRect()
const verticallyNear =
Math.abs(
rect.top + rect.height / 2 - (inputRect.top + inputRect.height / 2),
) < 120
const horizontallyNear =
rect.left > inputRect.left - 80 && rect.left < inputRect.right + 260
return verticallyNear && horizontallyNear
})
}
function buttonLabel(button: HTMLButtonElement): string {
return [
button.id,
button.getAttribute("aria-label"),
button.getAttribute("title"),
button.getAttribute("data-testid"),
button.getAttribute("data-test-id"),
button.textContent,
]
.filter(Boolean)
.join(" ")
}
function isChatGPTMicButton(button: HTMLButtonElement): boolean {
return /mic|microphone|dictate/i.test(buttonLabel(button))
}
function isChatGPTVoiceButton(button: HTMLButtonElement): boolean {
return /voice|audio|speech/i.test(buttonLabel(button))
}
function isChatGPTSendButton(button: HTMLButtonElement): boolean {
const label = buttonLabel(button)
return /composer-submit-button|send|submit/i.test(label)
}
function findChatGPTButtonSlot(
button: HTMLButtonElement | undefined,
composer: HTMLElement,
): HTMLElement | null {
if (!button) return null
let current: HTMLElement | null = button
while (current?.parentElement && current.parentElement !== composer) {
const parent: HTMLElement = current.parentElement
const parentStyle = window.getComputedStyle(parent)
const hasSiblingControls = parent.children.length > 1
const isRow =
parentStyle.display.includes("flex") &&
parentStyle.flexDirection !== "column"
if (hasSiblingControls && isRow) {
return current
}
current = parent
}
return current || button
}
function describeElement(element: Element | null): string | null {
if (!element) return null
const parts = [element.tagName.toLowerCase()]
if (element.id) parts.push(`#${element.id}`)
if (element.className && typeof element.className === "string") {
parts.push(
`.${element.className.trim().split(/\s+/).slice(0, 4).join(".")}`,
)
}
for (const attr of ["aria-label", "data-testid", "data-test-id", "role"]) {
const value = element.getAttribute(attr)
if (value) parts.push(`[${attr}="${value}"]`)
}
return parts.join("")
}
function getChatGPTDomSnapshot() {
return {
promptTextareas: document.querySelectorAll("#prompt-textarea").length,
contenteditables: document.querySelectorAll('[contenteditable="true"]')
.length,
textareas: document.querySelectorAll("textarea").length,
buttons: document.querySelectorAll("button").length,
composerButtons: document.querySelectorAll("button.composer-btn").length,
speechContainers: document.querySelectorAll(
'[data-testid="composer-speech-button-container"]',
).length,
}
}
async function setupChatGPTAutoFetch() {
const autoSearch = (await autoSearchEnabled.getValue()) ?? false
if (!autoSearch) {
return
}
const promptTextarea = document.getElementById("prompt-textarea")
if (
!promptTextarea ||
promptTextarea.hasAttribute("data-supermemory-auto-fetch")
) {
return
}
promptTextarea.setAttribute("data-supermemory-auto-fetch", "true")
const handleInput = () => {
const content = promptTextarea.textContent?.trim() || ""
syncAcceptedSupermemoryState(promptTextarea)
if (content.length === 0) {
clearMemorySuggestion("chatgpt", promptTextarea)
document
.querySelectorAll(
'[id*="sm-chatgpt-input-bar-element-before-composer"]',
)
.forEach((icon) => {
setMemoryMarkerStatus(icon as HTMLElement, "neutral")
})
}
if (chatGPTDebounceTimeout) {
clearTimeout(chatGPTDebounceTimeout)
}
chatGPTDebounceTimeout = setTimeout(async () => {
if (hasAcceptedSupermemoryContext(promptTextarea)) {
clearMemorySuggestion("chatgpt", promptTextarea)
return
}
if (content.length > 2) {
await getRelatedMemoriesForChatGPT(
POSTHOG_EVENT_KEY.CHATGPT_CHAT_MEMORIES_AUTO_SEARCHED,
)
} else if (content.length === 0) {
const icons = document.querySelectorAll(
'[id*="sm-chatgpt-input-bar-element-before-composer"]',
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
setMemoryMarkerStatus(iconElement, "neutral")
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
delete iconElement.dataset.memoriesData
}
})
if (promptTextarea.dataset.supermemories) {
clearMemorySuggestion("chatgpt", promptTextarea)
}
}
}, UI_CONFIG.AUTO_SEARCH_DEBOUNCE_DELAY)
}
promptTextarea.addEventListener("input", handleInput)
}
function setupChatGPTPromptCapture() {
if (document.body.hasAttribute("data-chatgpt-prompt-capture-setup")) {
return
}
document.body.setAttribute("data-chatgpt-prompt-capture-setup", "true")
const capturePromptContent = async (source: string) => {
const autoCapture = (await autoCapturePromptsEnabled.getValue()) ?? false
if (!autoCapture) {
debugChatGPT("auto prompt capture disabled")
return
}
const promptTextarea = document.getElementById("prompt-textarea")
let promptContent = ""
if (promptTextarea) {
promptContent = promptTextarea.textContent || ""
}
if (promptTextarea && promptContent.trim()) {
debugChatGPT("prompt submitted", {
source,
promptLength: promptContent.length,
})
try {
await browser.runtime.sendMessage({
action: MESSAGE_TYPES.CAPTURE_PROMPT,
data: {
prompt: promptContent,
platform: "chatgpt",
source: window.location.href,
},
})
} catch (error) {
console.error("Error sending ChatGPT prompt to background:", error)
}
}
const icons = document.querySelectorAll(
'[id*="sm-chatgpt-input-bar-element-before-composer"]',
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
delete iconElement.dataset.memoriesData
}
})
if (promptTextarea?.dataset.supermemories) {
clearMemorySuggestion("chatgpt", promptTextarea)
}
}
document.addEventListener(
"click",
async (event) => {
const target = event.target as HTMLElement
if (
target.id === "composer-submit-button" ||
target.closest("#composer-submit-button")
) {
await capturePromptContent("button click")
}
},
true,
)
document.addEventListener(
"keydown",
async (event) => {
const target = event.target as HTMLElement
if (
(target.id === "prompt-textarea" ||
target.closest("#prompt-textarea")) &&
acceptMemorySuggestion(
event,
"chatgpt",
document.getElementById("prompt-textarea"),
)
) {
return
}
if (
target.id === "prompt-textarea" &&
event.key === "Enter" &&
!event.shiftKey
) {
await capturePromptContent("Enter key")
}
},
true,
)
}

View file

@ -1,909 +0,0 @@
import {
DOMAINS,
ELEMENT_IDS,
MESSAGE_TYPES,
POSTHOG_EVENT_KEY,
UI_CONFIG,
} from "../../utils/constants"
import {
autoSearchEnabled,
autoCapturePromptsEnabled,
} from "../../utils/storage"
import {
createClaudeInputBarElement,
DOMUtils,
} from "../../utils/ui-components"
import {
acceptMemorySuggestion,
clearMemorySuggestion,
hasAcceptedSupermemoryContext,
serializeMemoriesForDataset,
setMemoryMarkerStatus,
showLoadingSuggestion,
showMarkerPopover,
showMemorySuggestion,
syncAcceptedSupermemoryState,
} from "./memory-suggestion"
let claudeDebounceTimeout: NodeJS.Timeout | null = null
let claudeRouteObserver: MutationObserver | null = null
let claudeUrlCheckInterval: NodeJS.Timeout | null = null
let claudeObserverThrottle: NodeJS.Timeout | null = null
const CLAUDE_DEBUG = false
const CLAUDE_LOG_PREFIX = "[supermemory:claude]"
export function initializeClaude() {
debugClaude("initializeClaude called", {
host: window.location.hostname,
href: window.location.href,
})
if (!DOMUtils.isOnDomain(DOMAINS.CLAUDE)) {
debugClaude("not on Claude domain, skipping")
return
}
if (document.body.hasAttribute("data-claude-initialized")) {
debugClaude("already initialized")
return
}
setTimeout(() => {
addSupermemoryButtonToClaudeMemoryDialog()
addSupermemoryIconToClaudeInput()
setupClaudeAutoFetch()
}, 2000)
setupClaudePromptCapture()
setupClaudeRouteChangeDetection()
document.body.setAttribute("data-claude-initialized", "true")
debugClaude("initialized listeners")
}
function debugClaude(message: string, data?: unknown) {
if (!CLAUDE_DEBUG) return
if (data === undefined) {
console.log(CLAUDE_LOG_PREFIX, message)
return
}
console.log(CLAUDE_LOG_PREFIX, message, data)
}
function setupClaudeRouteChangeDetection() {
if (claudeRouteObserver) {
claudeRouteObserver.disconnect()
}
if (claudeUrlCheckInterval) {
clearInterval(claudeUrlCheckInterval)
}
if (claudeObserverThrottle) {
clearTimeout(claudeObserverThrottle)
claudeObserverThrottle = null
}
let currentUrl = window.location.href
const checkForRouteChange = () => {
if (window.location.href !== currentUrl) {
currentUrl = window.location.href
debugClaude("route changed, re-adding supermemory icon", currentUrl)
setTimeout(() => {
addSupermemoryButtonToClaudeMemoryDialog()
addSupermemoryIconToClaudeInput()
setupClaudeAutoFetch()
}, 1000)
}
}
claudeUrlCheckInterval = setInterval(checkForRouteChange, 2000)
claudeRouteObserver = new MutationObserver((mutations) => {
if (claudeObserverThrottle) {
return
}
let shouldRecheck = false
mutations.forEach((mutation) => {
if (mutation.type === "childList" && mutation.addedNodes.length > 0) {
mutation.addedNodes.forEach((node) => {
if (node.nodeType === Node.ELEMENT_NODE) {
const element = node as Element
if (
element.querySelector?.('[role="dialog"]') ||
element.querySelector?.('div[contenteditable="true"]') ||
element.querySelector?.("textarea") ||
element.querySelector?.("button") ||
element.matches?.('[role="dialog"]') ||
element.matches?.('div[contenteditable="true"]') ||
element.matches?.("textarea") ||
element.matches?.("button") ||
element.textContent?.includes("Manage memory")
) {
shouldRecheck = true
}
}
})
}
})
if (shouldRecheck) {
claudeObserverThrottle = setTimeout(() => {
try {
claudeObserverThrottle = null
debugClaude("DOM changed near composer, rechecking UI")
addSupermemoryButtonToClaudeMemoryDialog()
addSupermemoryIconToClaudeInput()
setupClaudeAutoFetch()
} catch (error) {
console.error("Error in Claude observer callback:", error)
}
}, 300)
}
})
try {
claudeRouteObserver.observe(document.body, {
childList: true,
subtree: true,
})
} catch (error) {
console.error("Failed to set up Claude route observer:", error)
if (claudeUrlCheckInterval) {
clearInterval(claudeUrlCheckInterval)
}
claudeUrlCheckInterval = setInterval(checkForRouteChange, 1000)
}
}
function addSupermemoryIconToClaudeInput() {
const input = getClaudePromptInput()
if (!input) {
debugClaude("prompt input not found", getClaudeDomSnapshot())
return
}
const composer = findComposerRoot(input)
if (!composer?.querySelector) {
debugClaude("composer root not found", describeElement(input))
return
}
const existingMarkers = Array.from(
document.querySelectorAll(
`[id*="${ELEMENT_IDS.CLAUDE_INPUT_BAR_ELEMENT}"]`,
),
)
if (existingMarkers.length > 1) {
debugClaude("removed duplicate markers", existingMarkers.length)
for (const marker of existingMarkers) {
marker.remove()
}
} else if (existingMarkers.length === 1) {
debugClaude("marker already exists")
return
}
const buttons = findClaudeComposerButtons(input, composer)
debugClaude("candidate Claude buttons", {
input: describeElement(input),
composer: describeElement(composer),
buttons: buttons.map((button) => ({
label: buttonLabel(button),
element: describeElement(button),
})),
})
const micButton = buttons.find((button) => isClaudeMicButton(button))
const voiceButton = buttons.find((button) => isClaudeVoiceButton(button))
const sendButton = buttons.find((button) => isClaudeSendButton(button))
const anchorButton =
micButton || voiceButton || sendButton || buttons[buttons.length - 1]
const anchorSlot = findClaudeButtonSlot(anchorButton, composer)
const targetContainer = anchorSlot?.parentElement || input.parentElement
if (!targetContainer) {
debugClaude("could not find insertion target", {
anchor: anchorButton ? describeElement(anchorButton) : null,
input: describeElement(input),
})
return
}
const supermemoryIcon = createClaudeInputBarElement(async () => {
await getRelatedMemoriesForClaude(
POSTHOG_EVENT_KEY.CLAUDE_CHAT_MEMORIES_SEARCHED,
)
})
supermemoryIcon.id = `${ELEMENT_IDS.CLAUDE_INPUT_BAR_ELEMENT}-${Date.now()}-${Math.random().toString(36).substring(2, 11)}`
if (anchorSlot?.parentElement === targetContainer) {
targetContainer.insertBefore(supermemoryIcon, anchorSlot)
debugClaude("inserted marker before anchor button", {
anchorLabel: anchorButton ? buttonLabel(anchorButton) : null,
anchorSlot: describeElement(anchorSlot),
target: describeElement(targetContainer),
})
return
}
targetContainer.appendChild(supermemoryIcon)
debugClaude("inserted marker into fallback target", {
target: describeElement(targetContainer),
})
}
function getClaudePromptInput(): HTMLElement | null {
return document.querySelector(
'.ProseMirror[contenteditable="true"], div[contenteditable="true"], textarea',
) as HTMLElement | null
}
function findComposerRoot(input: HTMLElement): HTMLElement {
return (
(input.closest("form") as HTMLElement | null) ||
(input.closest('[data-testid*="composer"]') as HTMLElement | null) ||
(input.closest('[class*="composer"]') as HTMLElement | null) ||
(input.closest(".relative") as HTMLElement | null) ||
input.parentElement ||
document.body
)
}
function buttonLabel(button: HTMLButtonElement): string {
return [
button.getAttribute("aria-label"),
button.getAttribute("title"),
button.getAttribute("data-testid"),
button.getAttribute("data-test-id"),
button.textContent,
]
.filter(Boolean)
.join(" ")
}
function findClaudeComposerButtons(
input: HTMLElement,
composer: HTMLElement,
): HTMLButtonElement[] {
const composerButtons = Array.from(composer.querySelectorAll("button"))
if (composerButtons.length > 0) {
return composerButtons
}
const inputRect = input.getBoundingClientRect()
const allButtons = Array.from(document.querySelectorAll("button"))
return allButtons.filter((button) => {
const rect = button.getBoundingClientRect()
const verticallyNear =
Math.abs(
rect.top + rect.height / 2 - (inputRect.top + inputRect.height / 2),
) < 120
const horizontallyNear =
rect.left > inputRect.left - 80 && rect.left < inputRect.right + 260
return verticallyNear && horizontallyNear
})
}
function isClaudeMicButton(button: HTMLButtonElement): boolean {
return /mic|microphone|dictate/i.test(buttonLabel(button))
}
function isClaudeVoiceButton(button: HTMLButtonElement): boolean {
return /voice|audio|speech/i.test(buttonLabel(button))
}
function isClaudeSendButton(button: HTMLButtonElement): boolean {
return /send|submit/i.test(buttonLabel(button))
}
function findClaudeButtonSlot(
button: HTMLButtonElement | undefined,
composer: HTMLElement,
): HTMLElement | null {
if (!button) return null
let current: HTMLElement | null = button
while (current?.parentElement && current.parentElement !== composer) {
const parent: HTMLElement = current.parentElement
const parentStyle = window.getComputedStyle(parent)
const hasSiblingControls = parent.children.length > 1
const isRow =
parentStyle.display.includes("flex") &&
parentStyle.flexDirection !== "column"
if (hasSiblingControls && isRow) {
return current
}
current = parent
}
return current || button
}
function describeElement(element: Element | null): string | null {
if (!element) return null
const parts = [element.tagName.toLowerCase()]
if (element.id) parts.push(`#${element.id}`)
if (element.className && typeof element.className === "string") {
parts.push(
`.${element.className.trim().split(/\s+/).slice(0, 4).join(".")}`,
)
}
for (const attr of ["aria-label", "data-testid", "data-test-id", "role"]) {
const value = element.getAttribute(attr)
if (value) parts.push(`[${attr}="${value}"]`)
}
return parts.join("")
}
function getClaudeDomSnapshot() {
return {
proseMirrors: document.querySelectorAll(".ProseMirror").length,
contenteditables: document.querySelectorAll('[contenteditable="true"]')
.length,
textareas: document.querySelectorAll("textarea").length,
buttons: document.querySelectorAll("button").length,
}
}
async function getRelatedMemoriesForClaude(actionSource: string) {
try {
const isAutoSearch =
actionSource === POSTHOG_EVENT_KEY.CLAUDE_CHAT_MEMORIES_AUTO_SEARCHED
let userQuery = ""
const supermemoryContainer = document.querySelector(
'[data-supermemory-icon-added="true"]',
)
if (supermemoryContainer?.parentElement?.previousElementSibling) {
const pTag =
supermemoryContainer.parentElement.previousElementSibling.querySelector(
"p",
)
userQuery = pTag?.innerText || pTag?.textContent || ""
}
if (!userQuery.trim()) {
const textareaElement = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
userQuery =
textareaElement?.innerText || textareaElement?.textContent || ""
}
if (!userQuery.trim()) {
const inputElements = document.querySelectorAll(
'div[contenteditable="true"], textarea, input[type="text"]',
)
for (const element of inputElements) {
const text =
(element as HTMLElement).innerText ||
(element as HTMLInputElement).value
if (text?.trim()) {
userQuery = text.trim()
break
}
}
}
debugClaude("query extracted", {
queryLength: userQuery.length,
})
if (!userQuery.trim()) {
debugClaude("memory search skipped because query is empty")
return
}
const icon = document.querySelector('[id*="sm-claude-input-bar-element"]')
const iconElement = icon as HTMLElement
if (!iconElement) {
console.warn("Claude icon element not found, cannot update feedback")
return
}
if (isAutoSearch) {
const input = getClaudePromptInput()
if (input) {
showLoadingSuggestion("claude", input)
}
setMemoryMarkerStatus(iconElement, "searching")
} else {
updateClaudeIconFeedback("Searching memories...", iconElement)
}
const timeoutPromise = new Promise((_, reject) =>
setTimeout(
() => reject(new Error("Memory search timeout")),
UI_CONFIG.API_REQUEST_TIMEOUT,
),
)
const response = await Promise.race([
browser.runtime.sendMessage({
action: MESSAGE_TYPES.GET_RELATED_MEMORIES,
data: userQuery,
actionSource: actionSource,
}),
timeoutPromise,
])
debugClaude("memory search response", {
success: response?.success,
})
if (response?.success && response?.data) {
const textareaElement = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
if (textareaElement) {
const memoryText = showMemorySuggestion(
"claude",
textareaElement,
response.data,
)
debugClaude("memory suggestion rendered", {
memoryLength: memoryText.length,
})
iconElement.dataset.memoriesData = serializeMemoriesForDataset(
response.data,
)
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "found")
} else {
updateClaudeIconFeedback("Included Memories", iconElement)
}
} else {
console.warn(
"Claude input area not found after successful memory fetch",
)
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "found")
} else {
updateClaudeIconFeedback("Memories found", iconElement)
}
}
} else {
console.warn("No memories found or API response invalid for Claude")
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "none")
} else {
updateClaudeIconFeedback("No memories found", iconElement)
}
}
} catch (error) {
console.error("Error getting related memories for Claude:", error)
try {
const icon = document.querySelector(
'[id*="sm-claude-input-bar-element"]',
) as HTMLElement
if (icon) {
if (
actionSource === POSTHOG_EVENT_KEY.CLAUDE_CHAT_MEMORIES_AUTO_SEARCHED
) {
setMemoryMarkerStatus(icon, "error")
} else {
updateClaudeIconFeedback("Error fetching memories", icon)
}
}
} catch (feedbackError) {
console.error("Failed to update Claude error feedback:", feedbackError)
}
}
}
function getClaudeMemoryDialog(): HTMLElement | null {
const dialogs = Array.from(
document.querySelectorAll<HTMLElement>('[role="dialog"]'),
)
for (const dialog of dialogs) {
const heading = Array.from(dialog.querySelectorAll("h1, h2, h3")).find(
(element) => element.textContent?.trim() === "Manage memory",
)
if (heading) return dialog
}
const candidates = Array.from(document.querySelectorAll<HTMLElement>("div"))
.filter((element) => {
const text = element.textContent || ""
if (
!text.includes("Manage memory") ||
!text.includes("Here's what Claude remembers")
) {
return false
}
const rect = element.getBoundingClientRect()
return rect.width > 400 && rect.height > 250
})
.sort((a, b) => {
const rectA = a.getBoundingClientRect()
const rectB = b.getBoundingClientRect()
return rectA.width * rectA.height - rectB.width * rectB.height
})
return candidates[0] || null
}
function getClaudeMemoryText(dialog: HTMLElement): string {
const clonedDialog = dialog.cloneNode(true) as HTMLElement
clonedDialog.querySelector("#supermemory-save-button")?.remove()
const sanitizeClaudeMemoryText = (text: string) =>
text
.replace(/^Memories from Claude:\s*/i, "")
.split("\n")
.map((line) => line.trim())
.filter(
(line) =>
line &&
line !== "Tell Claude what to remember or forget..." &&
line !== "Save to supermemory",
)
.join("\n")
.trim()
const memorySections = Array.from(
clonedDialog.querySelectorAll<HTMLElement>(
"article, section, [class*='border'], [class*='rounded']",
),
)
.map((element) => element.innerText || element.textContent || "")
.map(sanitizeClaudeMemoryText)
.filter((text) => {
return (
text.length > 80 &&
!text.includes("Manage edits") &&
!text.includes("Save to supermemory") &&
!text.includes("Tell Claude what to remember or forget")
)
})
.sort((a, b) => b.length - a.length)
if (memorySections[0]) return memorySections[0]
return sanitizeClaudeMemoryText(
clonedDialog.innerText || clonedDialog.textContent || "",
)
}
function addSupermemoryButtonToClaudeMemoryDialog() {
const memoryDialog = getClaudeMemoryDialog()
if (!memoryDialog) return
if (memoryDialog.querySelector("#supermemory-save-button")) return
const supermemoryButton = document.createElement("button")
supermemoryButton.id = "supermemory-save-button"
const iconUrl = browser.runtime.getURL("/icon-16.png")
supermemoryButton.innerHTML = `
<div style="display: inline-flex; align-items: center; justify-content: center; gap: 8px; white-space: nowrap;">
<img src="${iconUrl}" alt="supermemory" style="width: 16px; height: 16px; flex-shrink: 0; border-radius: 2px;" />
<span style="white-space: nowrap;">Save to supermemory</span>
</div>
`
supermemoryButton.style.cssText = `
display: inline-flex !important;
align-items: center !important;
justify-content: center !important;
width: auto !important;
min-width: 190px !important;
background: #1C2026 !important;
color: white !important;
border: 1px solid #1C2026 !important;
border-radius: 9999px !important;
padding: 10px 16px !important;
font-weight: 500 !important;
font-size: 14px !important;
line-height: 20px !important;
white-space: nowrap !important;
margin: 8px 0 8px 0 !important;
transform: translateX(-16px) !important;
cursor: pointer !important;
font-family: inherit !important;
`
supermemoryButton.addEventListener("mouseenter", () => {
supermemoryButton.style.backgroundColor = "#2B2E33"
})
supermemoryButton.addEventListener("mouseleave", () => {
supermemoryButton.style.backgroundColor = "#1C2026"
})
supermemoryButton.addEventListener("click", async () => {
await saveClaudeMemoriesToSupermemory(memoryDialog)
})
const introText = Array.from(
memoryDialog.querySelectorAll<HTMLElement>("p, div"),
).find((element) =>
element.textContent?.includes("Here's what Claude remembers"),
)
if (introText?.parentElement) {
introText.parentElement.insertBefore(
supermemoryButton,
introText.nextSibling,
)
return
}
const heading = Array.from(memoryDialog.querySelectorAll("h1, h2, h3")).find(
(element) => element.textContent?.trim() === "Manage memory",
)
if (heading?.parentElement) {
heading.parentElement.insertBefore(supermemoryButton, heading.nextSibling)
return
}
memoryDialog.insertBefore(supermemoryButton, memoryDialog.firstChild)
}
async function saveClaudeMemoriesToSupermemory(memoryDialog: HTMLElement) {
try {
DOMUtils.showToast("loading")
const memoryText = getClaudeMemoryText(memoryDialog)
if (!memoryText) {
DOMUtils.showToast("error")
return
}
const response = await browser.runtime.sendMessage({
action: MESSAGE_TYPES.SAVE_MEMORY,
data: {
html: memoryText,
},
actionSource: "claude_memories_dialog",
})
debugClaude("memory dialog saved", {
success: response.success,
})
if (response.success) {
DOMUtils.showToast("success")
} else {
DOMUtils.showToast("error")
}
} catch (error) {
console.error("Error saving Claude memories to supermemory:", error)
DOMUtils.showToast("error")
}
}
function updateClaudeIconFeedback(
message: string,
iconElement: HTMLElement,
resetAfter = 0,
) {
const memories = iconElement.dataset.memoriesData
const fallbackReset =
resetAfter || (message === "Included Memories" ? 0 : 2200)
if (message === "Included Memories" || message === "Memories found") {
setMemoryMarkerStatus(iconElement, "found")
showMarkerPopover(iconElement, "Included Memories", memories)
return
}
if (message.toLowerCase().includes("searching")) {
setMemoryMarkerStatus(iconElement, "searching")
showMarkerPopover(iconElement, message)
return
}
setMemoryMarkerStatus(
iconElement,
message.toLowerCase().includes("error") ? "error" : "none",
)
showMarkerPopover(iconElement, message, undefined, fallbackReset)
}
function setupClaudePromptCapture() {
if (document.body.hasAttribute("data-claude-prompt-capture-setup")) {
return
}
document.body.setAttribute("data-claude-prompt-capture-setup", "true")
const captureClaudePromptContent = async (source: string) => {
const autoCapture = (await autoCapturePromptsEnabled.getValue()) ?? false
if (!autoCapture) {
debugClaude("auto prompt capture disabled")
return
}
let promptContent = ""
const contentEditableDiv = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
if (contentEditableDiv) {
promptContent =
contentEditableDiv.textContent || contentEditableDiv.innerText || ""
}
if (!promptContent) {
const textarea = document.querySelector("textarea") as HTMLTextAreaElement
if (textarea) {
promptContent = textarea.value || ""
}
}
if (promptContent.trim()) {
debugClaude("prompt submitted", {
source,
promptLength: promptContent.length,
})
try {
await browser.runtime.sendMessage({
action: MESSAGE_TYPES.CAPTURE_PROMPT,
data: {
prompt: promptContent,
platform: "claude",
source: window.location.href,
},
})
} catch (error) {
console.error("Error sending Claude prompt to background:", error)
}
}
const icons = document.querySelectorAll(
'[id*="sm-claude-input-bar-element"]',
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
delete iconElement.dataset.memoriesData
}
})
if (contentEditableDiv?.dataset.supermemories) {
clearMemorySuggestion("claude", contentEditableDiv)
}
}
document.addEventListener(
"click",
async (event) => {
const target = event.target as HTMLElement
if (target.closest('[data-supermemory-connected-indicator="true"]')) {
return
}
const sendButton = target.closest("button")
if (
sendButton &&
buttonLabel(sendButton as HTMLButtonElement).match(/send|submit/i)
) {
await captureClaudePromptContent("button click")
}
},
true,
)
document.addEventListener(
"keydown",
async (event) => {
const target = event.target as HTMLElement
const activeInput =
(target.closest('div[contenteditable="true"]') as HTMLElement | null) ||
(target.matches("textarea") ? (target as HTMLTextAreaElement) : null)
if (acceptMemorySuggestion(event, "claude", activeInput)) {
return
}
if (
(target.matches('div[contenteditable="true"]') ||
target.matches(".ProseMirror") ||
target.matches("textarea") ||
target.closest('div[contenteditable="true"]') ||
target.closest(".ProseMirror")) &&
event.key === "Enter" &&
!event.shiftKey
) {
await captureClaudePromptContent("Enter key")
}
},
true,
)
}
async function setupClaudeAutoFetch() {
const autoSearch = (await autoSearchEnabled.getValue()) ?? false
if (!autoSearch) {
return
}
const textareaElement = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
if (
!textareaElement ||
textareaElement.hasAttribute("data-supermemory-auto-fetch")
) {
return
}
textareaElement.setAttribute("data-supermemory-auto-fetch", "true")
const handleInput = () => {
const content = textareaElement.textContent?.trim() || ""
syncAcceptedSupermemoryState(textareaElement)
if (content.length === 0) {
clearMemorySuggestion("claude", textareaElement)
document
.querySelectorAll('[id*="sm-claude-input-bar-element"]')
.forEach((icon) => {
setMemoryMarkerStatus(icon as HTMLElement, "neutral")
})
}
if (claudeDebounceTimeout) {
clearTimeout(claudeDebounceTimeout)
}
claudeDebounceTimeout = setTimeout(async () => {
if (hasAcceptedSupermemoryContext(textareaElement)) {
clearMemorySuggestion("claude", textareaElement)
return
}
if (content.length > 2) {
await getRelatedMemoriesForClaude(
POSTHOG_EVENT_KEY.CLAUDE_CHAT_MEMORIES_AUTO_SEARCHED,
)
} else if (content.length === 0) {
const icons = document.querySelectorAll(
'[id*="sm-claude-input-bar-element"]',
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
setMemoryMarkerStatus(iconElement, "neutral")
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
delete iconElement.dataset.memoriesData
}
})
if (textareaElement.dataset.supermemories) {
clearMemorySuggestion("claude", textareaElement)
}
}
}, UI_CONFIG.AUTO_SEARCH_DEBOUNCE_DELAY)
}
textareaElement.addEventListener("input", handleInput)
}

View file

@ -1,664 +0,0 @@
import {
DOMAINS,
ELEMENT_IDS,
MESSAGE_TYPES,
POSTHOG_EVENT_KEY,
UI_CONFIG,
} from "../../utils/constants"
import {
autoCapturePromptsEnabled,
autoSearchEnabled,
} from "../../utils/storage"
import {
createGeminiInputBarElement,
DOMUtils,
} from "../../utils/ui-components"
import {
acceptMemorySuggestion,
clearMemorySuggestion,
hasAcceptedSupermemoryContext,
serializeMemoriesForDataset,
setMemoryMarkerStatus,
showLoadingSuggestion,
showMarkerPopover,
showMemorySuggestion,
syncAcceptedSupermemoryState,
} from "./memory-suggestion"
let geminiDebounceTimeout: NodeJS.Timeout | null = null
let geminiRouteObserver: MutationObserver | null = null
let geminiUrlCheckInterval: NodeJS.Timeout | null = null
let geminiObserverThrottle: NodeJS.Timeout | null = null
const GEMINI_DEBUG = false
const GEMINI_LOG_PREFIX = "[supermemory:gemini]"
type GeminiInput = HTMLElement | HTMLTextAreaElement
export function initializeGemini() {
debugGemini("initializeGemini called", {
host: window.location.hostname,
href: window.location.href,
})
if (!DOMUtils.isOnDomain(DOMAINS.GEMINI)) {
debugGemini("not on Gemini domain, skipping")
return
}
if (document.body.hasAttribute("data-gemini-initialized")) {
debugGemini("already initialized")
return
}
setTimeout(() => {
addSupermemoryIconToGeminiInput()
setupGeminiAutoFetch()
}, 2000)
setupGeminiPromptCapture()
setupGeminiRouteChangeDetection()
document.body.setAttribute("data-gemini-initialized", "true")
debugGemini("initialized listeners")
}
function debugGemini(message: string, data?: unknown) {
if (!GEMINI_DEBUG) return
if (data === undefined) {
console.log(GEMINI_LOG_PREFIX, message)
return
}
console.log(GEMINI_LOG_PREFIX, message, data)
}
function setupGeminiRouteChangeDetection() {
if (geminiRouteObserver) {
geminiRouteObserver.disconnect()
}
if (geminiUrlCheckInterval) {
clearInterval(geminiUrlCheckInterval)
}
if (geminiObserverThrottle) {
clearTimeout(geminiObserverThrottle)
geminiObserverThrottle = null
}
let currentUrl = window.location.href
const recheckGeminiUI = () => {
addSupermemoryIconToGeminiInput()
setupGeminiAutoFetch()
}
const checkForRouteChange = () => {
if (window.location.href !== currentUrl) {
currentUrl = window.location.href
debugGemini("route changed, rechecking UI", currentUrl)
setTimeout(recheckGeminiUI, 1000)
}
}
geminiUrlCheckInterval = setInterval(checkForRouteChange, 2000)
geminiRouteObserver = new MutationObserver((mutations) => {
if (geminiObserverThrottle) {
return
}
const shouldRecheck = mutations.some((mutation) =>
Array.from(mutation.addedNodes).some((node) => {
if (node.nodeType !== Node.ELEMENT_NODE) {
return false
}
const element = node as Element
return (
element.matches?.("rich-textarea, textarea, button") ||
element.matches?.('[contenteditable="true"]') ||
!!element.querySelector?.(
'rich-textarea, textarea, button, [contenteditable="true"]',
)
)
}),
)
if (shouldRecheck) {
geminiObserverThrottle = setTimeout(() => {
geminiObserverThrottle = null
debugGemini("DOM changed near Gemini composer, rechecking UI")
recheckGeminiUI()
}, 300)
}
})
try {
geminiRouteObserver.observe(document.body, {
childList: true,
subtree: true,
})
} catch (error) {
console.error("Failed to set up Gemini route observer:", error)
if (geminiUrlCheckInterval) {
clearInterval(geminiUrlCheckInterval)
}
geminiUrlCheckInterval = setInterval(checkForRouteChange, 1000)
}
}
function addSupermemoryIconToGeminiInput() {
const input = getGeminiPromptInput()
if (!input) {
debugGemini("prompt input not found", getGeminiDomSnapshot())
return
}
const composer = findGeminiComposerRoot(input)
if (!composer?.querySelector) {
debugGemini("composer root not found", describeElement(input))
return
}
const existingMarkers = Array.from(
document.querySelectorAll(
`[id*="${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}"]`,
),
)
if (existingMarkers.length > 1) {
debugGemini("removed duplicate markers", existingMarkers.length)
for (const marker of existingMarkers) {
marker.remove()
}
} else if (existingMarkers.length === 1) {
debugGemini("marker already exists")
return
}
const buttons = findGeminiComposerButtons(input, composer)
debugGemini("candidate Gemini buttons", {
input: describeElement(input),
composer: describeElement(composer),
buttons: buttons.map((button) => ({
label: buttonLabel(button),
element: describeElement(button),
})),
})
const micButton = buttons.find((button) => isGeminiMicButton(button))
const sendButton = buttons.find((button) => isGeminiSendButton(button))
const anchorButton = micButton || sendButton || buttons[buttons.length - 1]
const anchorSlot = findGeminiButtonSlot(anchorButton, composer)
const targetContainer =
anchorSlot?.parentElement ||
(input.closest("rich-textarea") as HTMLElement | null)?.parentElement ||
input.parentElement
if (!targetContainer) {
debugGemini("could not find insertion target", {
anchor: anchorButton ? describeElement(anchorButton) : null,
input: describeElement(input),
})
return
}
const supermemoryIcon = createGeminiInputBarElement(async () => {
await getRelatedMemoriesForGemini(
POSTHOG_EVENT_KEY.GEMINI_CHAT_MEMORIES_SEARCHED,
)
})
supermemoryIcon.id = `${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}-${Date.now()}-${Math.random().toString(36).substring(2, 11)}`
if (anchorSlot?.parentElement === targetContainer) {
targetContainer.insertBefore(supermemoryIcon, anchorSlot)
debugGemini("inserted marker before anchor button", {
anchorLabel: anchorButton ? buttonLabel(anchorButton) : null,
anchorSlot: describeElement(anchorSlot),
target: describeElement(targetContainer),
})
return
}
targetContainer.appendChild(supermemoryIcon)
debugGemini("inserted marker into fallback target", {
target: describeElement(targetContainer),
})
}
function getGeminiPromptInput(): GeminiInput | null {
return document.querySelector(
'rich-textarea .ql-editor[contenteditable="true"], rich-textarea [contenteditable="true"], .ql-editor[contenteditable="true"], div[contenteditable="true"], textarea',
) as GeminiInput | null
}
function findGeminiComposerRoot(input: GeminiInput): HTMLElement {
const form = input.closest("form") as HTMLElement | null
if (form) return form
let current: HTMLElement | null = input
for (let depth = 0; current && depth < 8; depth += 1) {
if (current.querySelectorAll("button").length >= 2) {
return current
}
current = current.parentElement
}
return input.parentElement || document.body
}
function findGeminiComposerButtons(
input: GeminiInput,
composer: HTMLElement,
): HTMLButtonElement[] {
const composerButtons = Array.from(composer.querySelectorAll("button"))
if (composerButtons.length > 0) {
return composerButtons
}
const inputRect = input.getBoundingClientRect()
const allButtons = Array.from(document.querySelectorAll("button"))
return allButtons.filter((button) => {
const rect = button.getBoundingClientRect()
const verticallyNear =
Math.abs(
rect.top + rect.height / 2 - (inputRect.top + inputRect.height / 2),
) < 120
const horizontallyNear =
rect.left > inputRect.left - 80 && rect.left < inputRect.right + 240
return verticallyNear && horizontallyNear
})
}
function buttonLabel(button: HTMLButtonElement): string {
return [
button.getAttribute("aria-label"),
button.getAttribute("title"),
button.getAttribute("data-testid"),
button.getAttribute("data-test-id"),
button.getAttribute("jsname"),
button.textContent,
]
.filter(Boolean)
.join(" ")
}
function isGeminiMicButton(button: HTMLButtonElement): boolean {
return /mic|microphone|voice|dictate|audio/i.test(buttonLabel(button))
}
function isGeminiSendButton(button: HTMLButtonElement): boolean {
const label = buttonLabel(button)
if (/send|submit/i.test(label)) {
return true
}
return !!button.querySelector(
'mat-icon[fonticon="send"], mat-icon[data-mat-icon-name="send"], [data-icon-name="send"]',
)
}
function findGeminiButtonSlot(
button: HTMLButtonElement | undefined,
composer: HTMLElement,
): HTMLElement | null {
if (!button) return null
let current: HTMLElement | null = button
while (current?.parentElement && current.parentElement !== composer) {
const parent: HTMLElement = current.parentElement
const parentStyle = window.getComputedStyle(parent)
const hasSiblingControls = parent.children.length > 1
const isRow =
parentStyle.display.includes("flex") &&
parentStyle.flexDirection !== "column"
if (hasSiblingControls && isRow) {
return current
}
current = parent
}
return current || button
}
function describeElement(element: Element | null): string | null {
if (!element) return null
const parts = [element.tagName.toLowerCase()]
if (element.id) parts.push(`#${element.id}`)
if (element.className && typeof element.className === "string") {
parts.push(
`.${element.className.trim().split(/\s+/).slice(0, 4).join(".")}`,
)
}
for (const attr of ["aria-label", "data-testid", "data-test-id", "role"]) {
const value = element.getAttribute(attr)
if (value) parts.push(`[${attr}="${value}"]`)
}
return parts.join("")
}
function getGeminiDomSnapshot() {
return {
richTextareas: document.querySelectorAll("rich-textarea").length,
qlEditors: document.querySelectorAll(".ql-editor").length,
contenteditables: document.querySelectorAll('[contenteditable="true"]')
.length,
textareas: document.querySelectorAll("textarea").length,
buttons: document.querySelectorAll("button").length,
}
}
function getInputText(input: GeminiInput | null): string {
if (!input) return ""
if (input instanceof HTMLTextAreaElement) {
return input.value || ""
}
return input.innerText || input.textContent || ""
}
async function getRelatedMemoriesForGemini(actionSource: string) {
try {
const isAutoSearch =
actionSource === POSTHOG_EVENT_KEY.GEMINI_CHAT_MEMORIES_AUTO_SEARCHED
const input = getGeminiPromptInput()
const userQuery = getInputText(input).trim()
debugGemini("manual/auto memory search requested", {
actionSource,
hasInput: !!input,
queryLength: userQuery.length,
})
if (!userQuery) {
debugGemini("memory search skipped because query is empty")
return
}
const iconElement = document.querySelector(
`[id*="${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}"]`,
) as HTMLElement | null
if (!iconElement) {
console.warn("Gemini icon element not found, cannot update feedback")
return
}
if (input && isAutoSearch) {
showLoadingSuggestion("gemini", input)
}
setMemoryMarkerStatus(iconElement, "searching")
if (!isAutoSearch) {
updateGeminiIconFeedback("Searching memories...", iconElement)
}
const timeoutPromise = new Promise((_, reject) =>
setTimeout(
() => reject(new Error("Memory search timeout")),
UI_CONFIG.API_REQUEST_TIMEOUT,
),
)
const response = (await Promise.race([
browser.runtime.sendMessage({
action: MESSAGE_TYPES.GET_RELATED_MEMORIES,
data: userQuery,
actionSource,
}),
timeoutPromise,
])) as { success?: boolean; data?: string }
debugGemini("memory search response", response)
if (response?.success && response?.data && input) {
const memoryText = showMemorySuggestion("gemini", input, response.data)
iconElement.dataset.memoriesData = serializeMemoriesForDataset(
response.data,
)
iconElement.dataset.supermemories = memoryText
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "found")
} else {
updateGeminiIconFeedback("Included Memories", iconElement)
}
return
}
if (isAutoSearch) {
setMemoryMarkerStatus(iconElement, "none")
} else {
updateGeminiIconFeedback("No memories found", iconElement, 1800)
}
} catch (error) {
console.error("Error getting related memories for Gemini:", error)
const iconElement = document.querySelector(
`[id*="${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}"]`,
) as HTMLElement | null
if (iconElement) {
if (
actionSource === POSTHOG_EVENT_KEY.GEMINI_CHAT_MEMORIES_AUTO_SEARCHED
) {
setMemoryMarkerStatus(iconElement, "error")
} else {
updateGeminiIconFeedback("Error fetching memories", iconElement, 1800)
}
}
}
}
function updateGeminiIconFeedback(
message: string,
iconElement: HTMLElement,
resetAfter = 0,
) {
const memories = iconElement.dataset.memoriesData
const fallbackReset =
resetAfter || (message === "Included Memories" ? 0 : 2200)
if (message === "Included Memories" || message === "Memories found") {
setMemoryMarkerStatus(iconElement, "found")
showMarkerPopover(iconElement, "Included Memories", memories)
return
}
if (message.toLowerCase().includes("searching")) {
setMemoryMarkerStatus(iconElement, "searching")
showMarkerPopover(iconElement, message)
return
}
setMemoryMarkerStatus(
iconElement,
message.toLowerCase().includes("error") ? "error" : "none",
)
showMarkerPopover(iconElement, message, undefined, fallbackReset)
}
function setupGeminiPromptCapture() {
if (document.body.hasAttribute("data-gemini-prompt-capture-setup")) {
return
}
document.body.setAttribute("data-gemini-prompt-capture-setup", "true")
const captureGeminiPromptContent = async (source: string) => {
const autoCapture = (await autoCapturePromptsEnabled.getValue()) ?? false
debugGemini("capture requested", { source, autoCapture })
if (!autoCapture) {
debugGemini("auto prompt capture disabled")
return
}
const input = getGeminiPromptInput()
const promptContent = getInputText(input)
debugGemini("capture input state", {
hasInput: !!input,
promptLength: promptContent.length,
hasStoredMemories: !!input?.dataset.supermemories,
})
if (promptContent.trim()) {
try {
const response = await browser.runtime.sendMessage({
action: MESSAGE_TYPES.CAPTURE_PROMPT,
data: {
prompt: promptContent,
platform: "gemini",
source: window.location.href,
},
})
debugGemini("capture response", response)
} catch (error) {
console.error("Error sending Gemini prompt to background:", error)
}
} else {
debugGemini("capture skipped because prompt is empty")
}
const icons = document.querySelectorAll(
`[id*="${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}"]`,
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
iconElement.querySelector("[data-supermemory-status-badge]")?.remove()
delete iconElement.dataset.supermemoryStatus
delete iconElement.dataset.memoriesData
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
}
})
if (input?.dataset.supermemories) {
clearMemorySuggestion("gemini", input)
}
}
document.addEventListener(
"click",
async (event) => {
const target = event.target as HTMLElement
if (target.closest('[data-supermemory-connected-indicator="true"]')) {
return
}
const sendButton = target.closest("button")
if (sendButton && isGeminiSendButton(sendButton as HTMLButtonElement)) {
debugGemini("send button click detected", {
label: buttonLabel(sendButton as HTMLButtonElement),
element: describeElement(sendButton),
})
await captureGeminiPromptContent("button click")
}
},
true,
)
document.addEventListener(
"keydown",
async (event) => {
const target = event.target as HTMLElement
const activeInput =
(target.closest('[contenteditable="true"]') as GeminiInput | null) ||
(target.matches("textarea") ? (target as HTMLTextAreaElement) : null)
if (acceptMemorySuggestion(event, "gemini", activeInput)) {
return
}
if (
(target.matches("textarea") ||
target.matches('[contenteditable="true"]') ||
target.closest('[contenteditable="true"]')) &&
event.key === "Enter" &&
!event.shiftKey
) {
debugGemini("Enter submit detected", {
target: describeElement(target),
})
await captureGeminiPromptContent("Enter key")
}
},
true,
)
}
async function setupGeminiAutoFetch() {
const autoSearch = (await autoSearchEnabled.getValue()) ?? false
debugGemini("setup auto fetch", { autoSearch })
if (!autoSearch) {
return
}
const input = getGeminiPromptInput()
if (!input || input.hasAttribute("data-supermemory-auto-fetch")) {
debugGemini("auto fetch skipped", {
hasInput: !!input,
alreadyAttached: input?.hasAttribute("data-supermemory-auto-fetch"),
})
return
}
input.setAttribute("data-supermemory-auto-fetch", "true")
debugGemini("auto fetch attached", describeElement(input))
const handleInput = () => {
const content = getInputText(input).trim()
syncAcceptedSupermemoryState(input)
if (content.length === 0) {
clearMemorySuggestion("gemini", input)
document
.querySelectorAll(`[id*="${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}"]`)
.forEach((icon) => {
setMemoryMarkerStatus(icon as HTMLElement, "neutral")
})
}
if (geminiDebounceTimeout) {
clearTimeout(geminiDebounceTimeout)
}
geminiDebounceTimeout = setTimeout(async () => {
if (hasAcceptedSupermemoryContext(input)) {
clearMemorySuggestion("gemini", input)
return
}
if (content.length > 2) {
await getRelatedMemoriesForGemini(
POSTHOG_EVENT_KEY.GEMINI_CHAT_MEMORIES_AUTO_SEARCHED,
)
} else if (content.length === 0) {
const icons = document.querySelectorAll(
`[id*="${ELEMENT_IDS.GEMINI_INPUT_BAR_ELEMENT}"]`,
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
iconElement.querySelector("[data-supermemory-status-badge]")?.remove()
delete iconElement.dataset.supermemoryStatus
delete iconElement.dataset.memoriesData
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
}
})
if (input.dataset.supermemories) {
clearMemorySuggestion("gemini", input)
}
}
}, UI_CONFIG.AUTO_SEARCH_DEBOUNCE_DELAY)
}
input.addEventListener("input", handleInput)
}

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@ -1,445 +0,0 @@
import { DOMAINS, MESSAGE_TYPES } from "../../utils/constants"
import { DOMUtils } from "../../utils/ui-components"
let grokRouteObserver: MutationObserver | null = null
let grokUrlCheckInterval: NodeJS.Timeout | null = null
let grokObserverThrottle: NodeJS.Timeout | null = null
const GROK_IMPORT_INTENT_PARAM = "sm_grok_import"
const GROK_IMPORT_INTENT_VALUE = "memories"
export function initializeGrok() {
if (!DOMUtils.isOnDomain(DOMAINS.GROK)) {
return
}
if (document.body.hasAttribute("data-grok-initialized")) {
return
}
setTimeout(() => {
addSupermemoryButtonToGrokMemoryDialog()
handleGrokImportIntent()
}, 1000)
setupGrokRouteChangeDetection()
document.body.setAttribute("data-grok-initialized", "true")
}
function setupGrokRouteChangeDetection() {
if (grokRouteObserver) {
grokRouteObserver.disconnect()
}
if (grokUrlCheckInterval) {
clearInterval(grokUrlCheckInterval)
}
if (grokObserverThrottle) {
clearTimeout(grokObserverThrottle)
grokObserverThrottle = null
}
let currentUrl = window.location.href
const checkForRouteChange = () => {
if (window.location.href !== currentUrl) {
currentUrl = window.location.href
setTimeout(() => {
addSupermemoryButtonToGrokMemoryDialog()
handleGrokImportIntent()
}, 500)
}
}
grokUrlCheckInterval = setInterval(checkForRouteChange, 2000)
grokRouteObserver = new MutationObserver((mutations) => {
if (grokObserverThrottle) {
return
}
let shouldRecheck = false
for (const mutation of mutations) {
if (mutation.type !== "childList" || mutation.addedNodes.length === 0) {
continue
}
for (const node of mutation.addedNodes) {
if (node.nodeType !== Node.ELEMENT_NODE) {
continue
}
const element = node as Element
const text = element.textContent || ""
if (
element.querySelector?.('[role="dialog"]') ||
element.matches?.('[role="dialog"]') ||
text.includes("Data Controls") ||
text.includes("Settings") ||
text.includes("Memory from your chats")
) {
shouldRecheck = true
break
}
}
}
if (shouldRecheck) {
grokObserverThrottle = setTimeout(() => {
grokObserverThrottle = null
addSupermemoryButtonToGrokMemoryDialog()
handleGrokImportIntent()
}, 250)
}
})
try {
grokRouteObserver.observe(document.body, {
childList: true,
subtree: true,
})
} catch (error) {
console.error("Failed to set up Grok route observer:", error)
if (grokUrlCheckInterval) {
clearInterval(grokUrlCheckInterval)
}
grokUrlCheckInterval = setInterval(checkForRouteChange, 1000)
}
}
function hasGrokImportIntent() {
return (
new URLSearchParams(window.location.search).get(
GROK_IMPORT_INTENT_PARAM,
) === GROK_IMPORT_INTENT_VALUE
)
}
function clearGrokImportIntent() {
const url = new URL(window.location.href)
url.searchParams.delete(GROK_IMPORT_INTENT_PARAM)
window.history.replaceState(window.history.state, "", url.toString())
}
function sleep(ms: number) {
return new Promise((resolve) => setTimeout(resolve, ms))
}
function isVisible(element: HTMLElement) {
const rect = element.getBoundingClientRect()
const style = window.getComputedStyle(element)
return (
rect.width > 0 &&
rect.height > 0 &&
style.display !== "none" &&
style.visibility !== "hidden" &&
Number.parseFloat(style.opacity || "1") > 0
)
}
function getNormalizedText(element: Element) {
return (element.textContent || "").replace(/\s+/g, " ").trim()
}
function clickVisibleElementByText(
labels: string[],
root: ParentNode = document,
) {
const elements = Array.from(
root.querySelectorAll<HTMLElement>(
"button, a, [role='button'], [role='tab'], [data-testid], div, span",
),
)
for (const label of labels) {
const matchingElement = elements.find((element) => {
const text = getNormalizedText(element)
return text === label && isVisible(element)
})
if (!matchingElement) {
continue
}
const clickableElement =
matchingElement.closest<HTMLElement>(
"button, a, [role='button'], [role='tab']",
) || matchingElement
clickableElement.click()
return true
}
return false
}
function getGrokSettingsDialog() {
return Array.from(
document.querySelectorAll<HTMLElement>('[role="dialog"]'),
).find((dialog) => {
const text = getNormalizedText(dialog)
return (
isVisible(dialog) &&
text.includes("Data Controls") &&
text.includes("Appearance") &&
text.includes("Behavior")
)
})
}
function isGrokDataControlsVisible() {
const text = getNormalizedText(document.body)
return (
text.includes("Data Controls") && text.includes("Memory from your chats")
)
}
async function handleGrokImportIntent() {
if (!hasGrokImportIntent()) return
if (document.body.hasAttribute("data-grok-import-intent-running")) {
return
}
document.body.setAttribute("data-grok-import-intent-running", "true")
for (let attempt = 0; attempt < 24; attempt++) {
addSupermemoryButtonToGrokMemoryDialog()
if (getGrokMemoryDialog()) {
clearGrokImportIntent()
document.body.removeAttribute("data-grok-import-intent-running")
return
}
const settingsDialog = getGrokSettingsDialog()
if (settingsDialog) {
if (isGrokDataControlsVisible()) {
clearGrokImportIntent()
document.body.removeAttribute("data-grok-import-intent-running")
return
}
clickVisibleElementByText(["Data Controls"], settingsDialog)
} else {
clickVisibleElementByText(["Settings"], document)
}
await sleep(350)
}
document.body.removeAttribute("data-grok-import-intent-running")
}
function getGrokMemoryDialog(): HTMLElement | null {
const dialogs = Array.from(
document.querySelectorAll<HTMLElement>('[role="dialog"]'),
)
for (const dialog of dialogs) {
const heading = Array.from(dialog.querySelectorAll("h1, h2, h3")).find(
(element) => element.textContent?.trim() === "Memory from your chats",
)
if (heading) return dialog
}
const candidates = Array.from(document.querySelectorAll<HTMLElement>("div"))
.filter((element) => {
const text = element.textContent || ""
if (
!text.includes("Memory from your chats") ||
!text.includes("This summary is regenerated")
) {
return false
}
const rect = element.getBoundingClientRect()
return rect.width > 400 && rect.height > 250
})
.sort((a, b) => {
const rectA = a.getBoundingClientRect()
const rectB = b.getBoundingClientRect()
return rectA.width * rectA.height - rectB.width * rectB.height
})
return candidates[0] || null
}
const GROK_MEMORY_UI_TEXT = [
"Memory from your chats",
"This summary is regenerated periodically from your conversations.",
"Save to supermemory",
"Close",
"Delete memory",
"Edit",
] as const
function escapeRegExp(text: string) {
return text.replace(/[.*+?^${}()|[\]\\]/g, "\\$&")
}
function sanitizeGrokMemoryText(text: string) {
let sanitizedText = text
for (const uiText of GROK_MEMORY_UI_TEXT) {
sanitizedText = sanitizedText.replace(
new RegExp(escapeRegExp(uiText), "g"),
"\n",
)
}
return sanitizedText
.split("\n")
.map((line) => line.trim())
.filter((line) => line)
.join("\n")
.trim()
}
function getGrokMemoryText(dialog: HTMLElement): string {
const clonedDialog = dialog.cloneNode(true) as HTMLElement
clonedDialog.querySelector("#supermemory-save-button")?.remove()
const possibleMemoryContainers = Array.from(
clonedDialog.querySelectorAll<HTMLElement>(
"article, section, [class*='overflow'], [class*='prose'], [class*='whitespace']",
),
)
.map((element) => element.innerText || element.textContent || "")
.map(sanitizeGrokMemoryText)
.filter((text) => text.length > 30)
.sort((a, b) => b.length - a.length)
if (possibleMemoryContainers[0]) {
return possibleMemoryContainers[0]
}
return sanitizeGrokMemoryText(
clonedDialog.innerText || clonedDialog.textContent || "",
)
}
function createSupermemoryButton(memoryDialog: HTMLElement) {
const supermemoryButton = document.createElement("button")
supermemoryButton.id = "supermemory-save-button"
const iconUrl = browser.runtime.getURL("/icon-16.png")
supermemoryButton.innerHTML = `
<div style="display: inline-flex; align-items: center; justify-content: center; gap: 8px; white-space: nowrap;">
<img src="${iconUrl}" alt="supermemory" style="width: 16px; height: 16px; flex-shrink: 0; border-radius: 2px;" />
<span style="white-space: nowrap;">Save to supermemory</span>
</div>
`
supermemoryButton.style.cssText = `
display: inline-flex !important;
align-items: center !important;
justify-content: center !important;
width: auto !important;
min-width: 190px !important;
background: #1C2026 !important;
color: white !important;
border: 1px solid #1C2026 !important;
border-radius: 9999px !important;
padding: 10px 16px !important;
font-weight: 500 !important;
font-size: 14px !important;
line-height: 20px !important;
white-space: nowrap !important;
cursor: pointer !important;
font-family: inherit !important;
z-index: 1 !important;
`
supermemoryButton.addEventListener("mouseenter", () => {
supermemoryButton.style.backgroundColor = "#2B2E33"
})
supermemoryButton.addEventListener("mouseleave", () => {
supermemoryButton.style.backgroundColor = "#1C2026"
})
supermemoryButton.addEventListener("click", async () => {
await saveGrokMemoriesToSupermemory(memoryDialog)
})
return supermemoryButton
}
function addSupermemoryButtonToGrokMemoryDialog() {
const memoryDialog = getGrokMemoryDialog()
if (!memoryDialog) return
if (memoryDialog.querySelector("#supermemory-save-button")) return
const supermemoryButton = createSupermemoryButton(memoryDialog)
const heading = Array.from(memoryDialog.querySelectorAll("h1, h2, h3")).find(
(element) => element.textContent?.trim() === "Memory from your chats",
)
const closeButton = Array.from(
memoryDialog.querySelectorAll<HTMLButtonElement>("button"),
).find((button) => {
const label = button.getAttribute("aria-label")?.toLowerCase() || ""
const text = button.textContent?.trim().toLowerCase() || ""
return label.includes("close") || text === "×" || text === "x"
})
if (heading?.parentElement) {
const header = heading.parentElement
header.style.display = "flex"
header.style.alignItems = "center"
header.style.gap = "12px"
const spacer = document.createElement("div")
spacer.style.flex = "1"
if (closeButton?.parentElement === header) {
header.insertBefore(spacer, closeButton)
header.insertBefore(supermemoryButton, closeButton)
} else {
header.appendChild(spacer)
header.appendChild(supermemoryButton)
}
return
}
if (closeButton?.parentElement) {
closeButton.parentElement.insertBefore(supermemoryButton, closeButton)
return
}
memoryDialog.insertBefore(supermemoryButton, memoryDialog.firstChild)
}
async function saveGrokMemoriesToSupermemory(memoryDialog: HTMLElement) {
try {
DOMUtils.showToast("loading")
const memoryText = getGrokMemoryText(memoryDialog)
if (!memoryText) {
DOMUtils.showToast("error")
return
}
const response = await browser.runtime.sendMessage({
action: MESSAGE_TYPES.SAVE_MEMORY,
data: {
content: memoryText,
title: "Grok memories import",
},
actionSource: "grok_memories_dialog",
})
if (response.success) {
DOMUtils.showToast("success")
} else {
DOMUtils.showToast("error")
}
} catch (error) {
console.error("Error saving Grok memories to supermemory:", error)
DOMUtils.showToast("error")
}
}

View file

@ -1,88 +0,0 @@
import { DOMAINS, MESSAGE_TYPES } from "../../utils/constants"
import { DOMUtils } from "../../utils/ui-components"
import { initializeChatGPT } from "./chatgpt"
import { initializeClaude } from "./claude"
import { initializeGrok } from "./grok"
import { initializeGemini } from "./gemini"
import {
saveMemory,
setupGlobalKeyboardShortcut,
setupStorageListener,
} from "./shared"
import { initializeT3 } from "./t3"
import {
handleTwitterNavigation,
initializeTwitter,
openImportModal,
updateTwitterImportUI,
} from "./twitter"
export default defineContentScript({
matches: ["<all_urls>"],
main() {
// Setup global event listeners
browser.runtime.onMessage.addListener((message) => {
if (message.action === MESSAGE_TYPES.SHOW_TOAST) {
DOMUtils.showToast(message.state)
} else if (message.action === MESSAGE_TYPES.SAVE_MEMORY) {
return saveMemory(message.actionSource || "content_script")
} else if (message.action === MESSAGE_TYPES.TWITTER_IMPORT_OPEN_MODAL) {
return openImportModal()
} else if (message.type === MESSAGE_TYPES.IMPORT_UPDATE) {
updateTwitterImportUI(message)
} else if (message.type === MESSAGE_TYPES.IMPORT_DONE) {
updateTwitterImportUI(message)
}
})
// Setup global keyboard shortcuts
setupGlobalKeyboardShortcut()
// Setup storage listener
setupStorageListener()
// Observer for dynamic content changes
const observeForDynamicChanges = () => {
const observer = new MutationObserver(() => {
if (DOMUtils.isOnDomain(DOMAINS.CHATGPT)) {
initializeChatGPT()
}
if (DOMUtils.isOnDomain(DOMAINS.CLAUDE)) {
initializeClaude()
}
if (DOMUtils.isOnDomain(DOMAINS.GROK)) {
initializeGrok()
}
if (DOMUtils.isOnDomain(DOMAINS.GEMINI)) {
initializeGemini()
}
if (DOMUtils.isOnDomain(DOMAINS.T3)) {
initializeT3()
}
if (DOMUtils.isOnDomain(DOMAINS.TWITTER)) {
handleTwitterNavigation()
}
})
observer.observe(document.body, {
childList: true,
subtree: true,
})
}
// Initialize platform-specific functionality
initializeChatGPT()
initializeClaude()
initializeGrok()
initializeGemini()
initializeT3()
initializeTwitter()
// Start observing for dynamic changes
if (document.readyState === "loading") {
document.addEventListener("DOMContentLoaded", observeForDynamicChanges)
} else {
observeForDynamicChanges()
}
},
})

View file

@ -1,446 +0,0 @@
type SuggestionInput = HTMLElement | HTMLTextAreaElement
const SUGGESTION_ATTR = "data-supermemory-memory-suggestion"
const SUPERMEMORY_PREFIX = "Supermemories of user (only for the reference):"
const SUPERMEMORY_BLUE = "#1A88FF"
export function buildSupermemoryText(memories: unknown): string {
const memoryText = Array.isArray(memories)
? memories.join("").trim()
: String(memories || "").trim()
return `\n\n${SUPERMEMORY_PREFIX} ${memoryText}`
}
function normalizeMemoryList(memories: unknown): string[] {
const list = Array.isArray(memories)
? memories
: memories == null
? []
: [memories]
return list
.map((memory) => (typeof memory === "string" ? memory : String(memory)))
.map((memory) => memory.trim())
.filter((memory) => memory.length > 0)
}
export function serializeMemoriesForDataset(memories: unknown): string {
const list = normalizeMemoryList(memories)
return list.length > 0 ? JSON.stringify(list) : ""
}
export function parseMemoriesFromDataset(
raw: string | null | undefined,
): string[] {
if (!raw) return []
try {
const parsed = JSON.parse(raw)
if (Array.isArray(parsed)) return normalizeMemoryList(parsed)
} catch {
// Not JSON — fall through to the legacy delimiter split.
}
return raw
.split(/[,\n]/)
.map((memory) => memory.trim())
.filter((memory) => memory.length > 0 && memory !== ",")
}
export function renumberIncludedMemories(memories: string[]): string[] {
return memories.map((memory, index) => {
const text = memory.replace(/^\d+\.\s*/, "").replace(/\s+$/, "")
return `${index + 1}. ${text} \n`
})
}
export function showMemorySuggestion(
platform: string,
input: SuggestionInput,
memories: unknown,
): string {
const suggestionText = buildSupermemoryText(memories)
input.dataset.supermemories = suggestionText
delete input.dataset.supermemoriesInjected
removeMemorySuggestion(platform)
const anchor = getSuggestionAnchor(input)
if (!anchor) return suggestionText
const previousPosition = window.getComputedStyle(anchor).position
if (previousPosition === "static") {
anchor.dataset.supermemoryPreviousPosition = "static"
anchor.style.position = "relative"
}
const suggestion = createSuggestionContainer(platform, input, anchor)
suggestion.dataset.supermemorySuggestionState = "ready"
suggestion.style.gap = "8px"
suggestion.style.alignItems = "center"
const text = document.createElement("span")
text.style.cssText = `
min-width: 0;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
`
text.textContent = suggestionText.trim()
const tabKey = document.createElement("span")
tabKey.style.cssText = `
display: inline-flex;
align-items: center;
justify-content: center;
height: 20px;
padding: 0 8px;
border-radius: 999px;
background: ${SUPERMEMORY_BLUE};
color: #FFFFFF;
font-size: 11px;
font-weight: 700;
line-height: 1;
box-shadow: 0 0 0 1px rgba(255, 255, 255, 0.16) inset, 0 6px 18px rgba(26, 136, 255, 0.24);
flex-shrink: 0;
`
tabKey.textContent = "Tab"
suggestion.appendChild(text)
suggestion.appendChild(tabKey)
anchor.appendChild(suggestion)
return suggestionText
}
export function showLoadingSuggestion(
platform: string,
input: SuggestionInput,
) {
removeMemorySuggestion(platform)
const anchor = getSuggestionAnchor(input)
if (!anchor) return
const previousPosition = window.getComputedStyle(anchor).position
if (previousPosition === "static") {
anchor.dataset.supermemoryPreviousPosition = "static"
anchor.style.position = "relative"
}
ensureSuggestionAnimationStyle()
const suggestion = createSuggestionContainer(platform, input, anchor)
suggestion.dataset.supermemorySuggestionState = "loading"
suggestion.style.gap = "4px"
suggestion.setAttribute("aria-label", "supermemory searching memories")
for (let index = 0; index < 3; index += 1) {
const dot = document.createElement("span")
dot.style.cssText = `
width: 5px;
height: 5px;
border-radius: 999px;
background: ${SUPERMEMORY_BLUE};
animation: supermemorySuggestionDot 1s ease-in-out infinite;
animation-delay: ${index * 0.14}s;
`
suggestion.appendChild(dot)
}
anchor.appendChild(suggestion)
}
function createSuggestionContainer(
platform: string,
input: SuggestionInput,
anchor: HTMLElement,
): HTMLDivElement {
const suggestion = document.createElement("div")
suggestion.setAttribute(SUGGESTION_ATTR, platform)
const position = getCaretPosition(input, anchor)
const verticalOffset = platform === "gemini" ? -10 : 0
suggestion.style.cssText = `
position: absolute;
left: ${position.left + 6}px;
top: ${position.top + verticalOffset}px;
max-width: min(540px, calc(100% - ${position.left + 220}px));
display: inline-flex;
align-items: center;
height: 22px;
color: rgba(255, 255, 255, 0.34);
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 14px;
line-height: 1.35;
pointer-events: none;
z-index: 2147483646;
`
return suggestion
}
export function removeMemorySuggestion(platform: string) {
const elements = document.querySelectorAll(
`[${SUGGESTION_ATTR}="${platform}"]`,
)
for (const element of elements) {
element.remove()
}
}
export function acceptMemorySuggestion(
event: KeyboardEvent,
platform: string,
input: SuggestionInput | null,
): boolean {
if (event.key !== "Tab" || !input?.dataset.supermemories) {
return false
}
event.preventDefault()
event.stopPropagation()
const text = input.dataset.supermemories
appendTextToInput(input, text)
delete input.dataset.supermemories
input.dataset.supermemoriesInjected = "true"
removeMemorySuggestion(platform)
return true
}
export function hasAcceptedSupermemoryContext(
input: SuggestionInput | null,
): boolean {
if (!input) return false
const text =
input instanceof HTMLTextAreaElement
? input.value
: input.innerText || input.textContent || ""
return text.includes(SUPERMEMORY_PREFIX)
}
export function syncAcceptedSupermemoryState(input: SuggestionInput | null) {
if (!input?.dataset.supermemoriesInjected) return
if (!hasAcceptedSupermemoryContext(input)) {
delete input.dataset.supermemoriesInjected
}
}
export function clearMemorySuggestion(
platform: string,
input: SuggestionInput | null,
) {
removeMemorySuggestion(platform)
if (input?.dataset.supermemories) {
delete input.dataset.supermemories
}
if (input?.dataset.supermemoriesInjected) {
delete input.dataset.supermemoriesInjected
}
}
export function setMemoryMarkerStatus(
iconElement: HTMLElement | null,
status: "neutral" | "searching" | "found" | "none" | "error",
) {
if (!iconElement) return
iconElement.querySelector("[data-supermemory-status-badge]")?.remove()
if (status === "neutral" || status === "none") {
delete iconElement.dataset.supermemoryStatus
return
}
iconElement.dataset.supermemoryStatus = status
const badge = document.createElement("span")
badge.dataset.supermemoryStatusBadge = "true"
badge.style.cssText = `
position: absolute;
top: 3px;
right: 3px;
width: ${status === "searching" ? "7px" : "8px"};
height: ${status === "searching" ? "7px" : "8px"};
border-radius: 999px;
background: ${status === "found" ? "#36F3D7" : status === "searching" ? SUPERMEMORY_BLUE : status === "error" ? "#EF4444" : "rgba(255, 255, 255, 0.55)"};
border: 1px solid rgba(5, 7, 10, 0.9);
box-shadow: ${status === "found" ? "0 0 0 2px rgba(54, 243, 215, 0.18)" : "none"};
pointer-events: none;
`
iconElement.appendChild(badge)
}
export function showMarkerPopover(
iconElement: HTMLElement,
message: string,
memories?: string,
resetAfter = 0,
) {
iconElement.querySelector("[data-supermemory-marker-popover]")?.remove()
ensureSuggestionAnimationStyle()
const popover = document.createElement("div")
popover.dataset.supermemoryMarkerPopover = "true"
popover.style.cssText = `
position: absolute;
right: 0;
bottom: calc(100% + 10px);
min-width: 168px;
max-width: 280px;
padding: 10px;
border-radius: 12px;
background: rgba(10, 14, 20, 0.96);
border: 1px solid rgba(255, 255, 255, 0.12);
color: #FAFAFA;
box-shadow: 0 12px 32px rgba(0, 0, 0, 0.32);
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 12px;
line-height: 1.35;
text-align: left;
z-index: 2147483647;
pointer-events: auto;
`
const title = document.createElement("div")
title.style.cssText = `
display: flex;
align-items: center;
gap: 6px;
font-weight: 700;
margin-bottom: ${memories ? "8px" : "0"};
`
if (message.toLowerCase().includes("searching")) {
const dots = document.createElement("span")
dots.style.cssText = "display: inline-flex; gap: 3px; align-items: center;"
for (let index = 0; index < 3; index += 1) {
const dot = document.createElement("span")
dot.style.cssText = `
width: 4px;
height: 4px;
border-radius: 999px;
background: ${SUPERMEMORY_BLUE};
animation: supermemorySuggestionDot 1s ease-in-out infinite;
animation-delay: ${index * 0.14}s;
`
dots.appendChild(dot)
}
title.appendChild(dots)
}
const titleText = document.createElement("span")
titleText.textContent =
message === "Included Memories" ? "Included memories" : message
title.appendChild(titleText)
popover.appendChild(title)
if (memories) {
const list = document.createElement("div")
list.style.cssText = `
display: flex;
flex-direction: column;
gap: 6px;
max-height: 160px;
overflow-y: auto;
color: rgba(255, 255, 255, 0.76);
`
parseMemoriesFromDataset(memories)
.slice(0, 5)
.forEach((memory) => {
const item = document.createElement("div")
item.textContent = memory
list.appendChild(item)
})
popover.appendChild(list)
}
iconElement.appendChild(popover)
if (resetAfter > 0) {
setTimeout(() => {
popover.remove()
}, resetAfter)
}
}
function ensureSuggestionAnimationStyle() {
if (document.getElementById("supermemory-suggestion-animation-style")) {
return
}
const style = document.createElement("style")
style.id = "supermemory-suggestion-animation-style"
style.textContent = `
@keyframes supermemorySuggestionDot {
0%, 80%, 100% { opacity: 0.3; transform: translateY(0); }
40% { opacity: 1; transform: translateY(-1px); }
}
`
document.head.appendChild(style)
}
function getSuggestionAnchor(input: SuggestionInput): HTMLElement | null {
return (
(input.closest("form") as HTMLElement | null) ||
(input.closest('[role="textbox"]') as HTMLElement | null)?.parentElement ||
input.parentElement
)
}
function getCaretPosition(input: SuggestionInput, anchor: HTMLElement) {
const anchorRect = anchor.getBoundingClientRect()
if (!(input instanceof HTMLTextAreaElement)) {
const selection = window.getSelection()
if (selection?.rangeCount) {
const range = selection.getRangeAt(0).cloneRange()
if (input.contains(range.startContainer)) {
range.collapse(true)
let rect = range.getBoundingClientRect()
if (rect.width === 0 && rect.height === 0) {
const marker = document.createElement("span")
marker.textContent = "\u200b"
range.insertNode(marker)
rect = marker.getBoundingClientRect()
marker.remove()
}
if (rect.width || rect.height) {
return {
left: Math.max(18, rect.right - anchorRect.left + 4),
top: Math.max(10, rect.top - anchorRect.top),
}
}
}
}
}
const inputRect = input.getBoundingClientRect()
return {
left: Math.max(18, inputRect.left - anchorRect.left + 18),
top: Math.max(10, inputRect.top - anchorRect.top + 8),
}
}
function appendTextToInput(input: SuggestionInput, text: string) {
if (input instanceof HTMLTextAreaElement) {
input.value = `${input.value}${text}`
input.dispatchEvent(new Event("input", { bubbles: true }))
return
}
input.focus()
const selection = window.getSelection()
const range = document.createRange()
range.selectNodeContents(input)
range.collapse(false)
range.insertNode(document.createTextNode(text))
range.collapse(false)
selection?.removeAllRanges()
selection?.addRange(range)
input.dispatchEvent(
new InputEvent("input", { bubbles: true, inputType: "insertText" }),
)
}

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@ -1,136 +0,0 @@
import { MESSAGE_TYPES } from "../../utils/constants"
import { bearerToken, userData } from "../../utils/storage"
import type { APIResponse } from "../../utils/types"
import { DOMUtils } from "../../utils/ui-components"
import { default as TurndownService } from "turndown"
export async function saveMemory(
actionSource = "content_script",
): Promise<APIResponse> {
try {
DOMUtils.showToast("loading")
const highlightedText = window.getSelection()?.toString() || ""
const url = window.location.href
const ogImage =
document
.querySelector('meta[property="og:image"]')
?.getAttribute("content") ||
document
.querySelector('meta[name="og:image"]')
?.getAttribute("content") ||
undefined
const title =
document
.querySelector('meta[property="og:title"]')
?.getAttribute("content") ||
document
.querySelector('meta[name="og:title"]')
?.getAttribute("content") ||
document.title ||
undefined
const data: {
html?: string
markdown?: string
highlightedText?: string
url: string
ogImage?: string
title?: string
} = {
url,
}
if (ogImage) {
data.ogImage = ogImage
}
if (title) {
data.title = title
}
if (highlightedText) {
data.highlightedText = highlightedText
} else {
const bodyClone = document.body.cloneNode(true) as HTMLElement
const scripts = bodyClone.querySelectorAll("script")
for (const script of scripts) {
script.remove()
}
const html = bodyClone.innerHTML
// Convert HTML to markdown
const turndownService = new TurndownService()
const markdown = turndownService.turndown(html)
data.markdown = markdown
}
const response = (await browser.runtime.sendMessage({
action: MESSAGE_TYPES.SAVE_MEMORY,
data,
actionSource,
})) as APIResponse
if (response?.success) {
DOMUtils.showToast("success")
return response
}
DOMUtils.showToast("error")
return {
success: false,
error: response?.error || "Failed to save memory",
}
} catch (error) {
console.error("Error saving memory:", error)
DOMUtils.showToast("error")
return {
success: false,
error: error instanceof Error ? error.message : "Unknown error",
}
}
}
export function setupGlobalKeyboardShortcut() {
document.addEventListener("keydown", async (event) => {
if (
(event.ctrlKey || event.metaKey) &&
event.shiftKey &&
event.key === "m"
) {
event.preventDefault()
await saveMemory("keyboard_shortcut")
}
})
}
export function setupStorageListener() {
window.addEventListener("message", async (event) => {
if (event.source !== window) {
return
}
const token = event.data.token
const user = event.data.userData
if (token && user) {
if (
!(
window.location.hostname === "localhost" ||
window.location.hostname === "supermemory.ai" ||
window.location.hostname === "app.supermemory.ai"
)
) {
return
}
try {
await Promise.all([
bearerToken.setValue(token),
userData.setValue(user),
])
} catch {
// Do nothing
}
}
})
}

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@ -1,744 +0,0 @@
import {
DOMAINS,
ELEMENT_IDS,
MESSAGE_TYPES,
POSTHOG_EVENT_KEY,
UI_CONFIG,
} from "../../utils/constants"
import {
autoSearchEnabled,
autoCapturePromptsEnabled,
} from "../../utils/storage"
import { createT3InputBarElement, DOMUtils } from "../../utils/ui-components"
import {
buildSupermemoryText,
parseMemoriesFromDataset,
renumberIncludedMemories,
serializeMemoriesForDataset,
} from "./memory-suggestion"
let t3DebounceTimeout: NodeJS.Timeout | null = null
let t3RouteObserver: MutationObserver | null = null
let t3UrlCheckInterval: NodeJS.Timeout | null = null
let t3ObserverThrottle: NodeJS.Timeout | null = null
let t3IncludedPopup: {
el: HTMLElement
onClick: (event: MouseEvent) => void
timer: ReturnType<typeof setTimeout>
} | null = null
function disposeT3IncludedPopup() {
if (!t3IncludedPopup) return
document.removeEventListener("click", t3IncludedPopup.onClick)
clearTimeout(t3IncludedPopup.timer)
t3IncludedPopup.el.remove()
t3IncludedPopup = null
}
export function initializeT3() {
if (!DOMUtils.isOnDomain(DOMAINS.T3)) {
return
}
if (document.body.hasAttribute("data-t3-initialized")) {
return
}
setTimeout(() => {
addSupermemoryIconToT3Input()
setupT3AutoFetch()
}, 2000)
setupT3PromptCapture()
setupT3RouteChangeDetection()
document.body.setAttribute("data-t3-initialized", "true")
}
function setupT3RouteChangeDetection() {
if (t3RouteObserver) {
t3RouteObserver.disconnect()
}
if (t3UrlCheckInterval) {
clearInterval(t3UrlCheckInterval)
}
if (t3ObserverThrottle) {
clearTimeout(t3ObserverThrottle)
t3ObserverThrottle = null
}
let currentUrl = window.location.href
const checkForRouteChange = () => {
if (window.location.href !== currentUrl) {
disposeT3IncludedPopup()
currentUrl = window.location.href
setTimeout(() => {
addSupermemoryIconToT3Input()
setupT3AutoFetch()
}, 1000)
}
}
t3UrlCheckInterval = setInterval(checkForRouteChange, 2000)
t3RouteObserver = new MutationObserver((mutations) => {
if (t3ObserverThrottle) {
return
}
let shouldRecheck = false
mutations.forEach((mutation) => {
if (mutation.type === "childList" && mutation.addedNodes.length > 0) {
mutation.addedNodes.forEach((node) => {
if (node.nodeType === Node.ELEMENT_NODE) {
const element = node as Element
if (
element.querySelector?.("textarea") ||
element.querySelector?.('div[contenteditable="true"]') ||
element.matches?.("textarea") ||
element.matches?.('div[contenteditable="true"]')
) {
shouldRecheck = true
}
}
})
}
})
if (shouldRecheck) {
t3ObserverThrottle = setTimeout(() => {
try {
t3ObserverThrottle = null
addSupermemoryIconToT3Input()
setupT3AutoFetch()
} catch (error) {
console.error("Error in T3 observer callback:", error)
}
}, 300)
}
})
try {
t3RouteObserver.observe(document.body, {
childList: true,
subtree: true,
})
} catch (error) {
console.error("Failed to set up T3 route observer:", error)
if (t3UrlCheckInterval) {
clearInterval(t3UrlCheckInterval)
}
t3UrlCheckInterval = setInterval(checkForRouteChange, 1000)
}
}
function addSupermemoryIconToT3Input() {
const targetContainers = document.querySelectorAll(
".flex.min-w-0.items-center.gap-2",
)
const container = targetContainers[0]
if (!container) {
return
}
if (container.hasAttribute("data-supermemory-icon-added")) {
return
}
const existingIcon = container.querySelector(
`#${ELEMENT_IDS.T3_INPUT_BAR_ELEMENT}`,
)
if (existingIcon) {
container.setAttribute("data-supermemory-icon-added", "true")
return
}
const supermemoryIcon = createT3InputBarElement(async () => {
await getRelatedMemoriesForT3(POSTHOG_EVENT_KEY.T3_CHAT_MEMORIES_SEARCHED)
})
supermemoryIcon.id = `${ELEMENT_IDS.T3_INPUT_BAR_ELEMENT}-${Date.now()}-${Math.random().toString(36).substring(2, 11)}`
container.setAttribute("data-supermemory-icon-added", "true")
container.insertBefore(supermemoryIcon, container.firstChild)
}
async function getRelatedMemoriesForT3(actionSource: string) {
try {
let userQuery = ""
const supermemoryContainer = document.querySelector(
'[data-supermemory-icon-added="true"]',
)
if (supermemoryContainer?.parentElement?.previousElementSibling) {
const textareaElement =
supermemoryContainer.parentElement.previousElementSibling.querySelector(
"textarea",
)
userQuery = textareaElement?.value || ""
}
if (!userQuery.trim()) {
const textareaElement = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
userQuery =
textareaElement?.innerText || textareaElement?.textContent || ""
}
if (!userQuery.trim()) {
const textareas = document.querySelectorAll("textarea")
for (const textarea of textareas) {
const text = (textarea as HTMLTextAreaElement).value
if (text?.trim()) {
userQuery = text.trim()
break
}
}
}
if (!userQuery.trim()) {
return
}
const icon = document.querySelector('[id*="sm-t3-input-bar-element"]')
const iconElement = icon as HTMLElement
if (!iconElement) {
console.warn("T3 icon element not found, cannot update feedback")
return
}
updateT3IconFeedback("Searching memories...", iconElement)
const timeoutPromise = new Promise((_, reject) =>
setTimeout(
() => reject(new Error("Memory search timeout")),
UI_CONFIG.API_REQUEST_TIMEOUT,
),
)
const response = await Promise.race([
browser.runtime.sendMessage({
action: MESSAGE_TYPES.GET_RELATED_MEMORIES,
data: userQuery,
actionSource: actionSource,
}),
timeoutPromise,
])
if (response?.success && response?.data) {
let textareaElement = null
const supermemoryContainer = document.querySelector(
'[data-supermemory-icon-added="true"]',
)
if (supermemoryContainer?.parentElement?.previousElementSibling) {
textareaElement =
supermemoryContainer.parentElement.previousElementSibling.querySelector(
"textarea",
)
}
if (!textareaElement) {
textareaElement = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
}
if (textareaElement) {
textareaElement.dataset.supermemories = buildSupermemoryText(
response.data,
)
iconElement.dataset.memoriesData = serializeMemoriesForDataset(
response.data,
)
updateT3IconFeedback("Included Memories", iconElement)
} else {
console.warn("T3 input area not found after successful memory fetch")
updateT3IconFeedback("Memories found", iconElement)
}
} else {
console.warn("No memories found or API response invalid for T3")
updateT3IconFeedback("No memories found", iconElement)
}
} catch (error) {
console.error("Error getting related memories for T3:", error)
try {
const icon = document.querySelector(
'[id*="sm-t3-input-bar-element"]',
) as HTMLElement
if (icon) {
updateT3IconFeedback("Error fetching memories", icon)
}
} catch (feedbackError) {
console.error("Failed to update T3 error feedback:", feedbackError)
}
}
}
function updateT3IconFeedback(
message: string,
iconElement: HTMLElement,
resetAfter = 0,
) {
if (!iconElement.dataset.originalHtml) {
iconElement.dataset.originalHtml = iconElement.innerHTML
}
disposeT3IncludedPopup()
const feedbackDiv = document.createElement("div")
feedbackDiv.style.cssText = `
display: flex;
align-items: center;
gap: 6px;
padding: 6px 8px;
background: #513EA9;
border-radius: 6px;
color: white;
font-size: 12px;
font-weight: 500;
cursor: ${message === "Included Memories" ? "pointer" : "default"};
position: relative;
`
feedbackDiv.innerHTML = `
<span></span>
<span>${message}</span>
`
if (message === "Included Memories" && iconElement.dataset.memoriesData) {
const popup = document.createElement("div")
popup.style.cssText = `
position: fixed;
bottom: 80px;
left: 50%;
transform: translateX(-50%);
background: #1a1a1a;
color: white;
padding: 0;
border-radius: 12px;
font-size: 13px;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', sans-serif;
max-width: 500px;
max-height: 400px;
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.4);
z-index: 999999;
display: none;
border: 1px solid #333;
`
const header = document.createElement("div")
header.style.cssText = `
display: flex;
justify-content: space-between;
align-items: center;
padding: 8px;
border-bottom: 1px solid #333;
opacity: 0.8;
`
header.innerHTML = `
<span style="font-weight: 600; color: #fff;">Included Memories</span>
`
const content = document.createElement("div")
content.style.cssText = `
padding: 0;
max-height: 300px;
overflow-y: auto;
`
const individualMemories = parseMemoriesFromDataset(
iconElement.dataset.memoriesData,
)
individualMemories.forEach((memory, index) => {
const memoryItem = document.createElement("div")
memoryItem.style.cssText = `
display: flex;
align-items: center;
gap: 6px;
padding: 10px;
font-size: 13px;
line-height: 1.4;
`
const memoryText = document.createElement("div")
memoryText.style.cssText = `
flex: 1;
color: #e5e5e5;
`
memoryText.textContent = memory.trim()
const removeBtn = document.createElement("button")
removeBtn.style.cssText = `
background: transparent;
color: #9ca3af;
border: none;
padding: 4px;
border-radius: 4px;
cursor: pointer;
flex-shrink: 0;
height: fit-content;
display: flex;
align-items: center;
justify-content: center;
`
removeBtn.innerHTML = `<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="10"/><path d="m15 9-6 6"/><path d="m9 9 6 6"/></svg>`
removeBtn.dataset.memoryIndex = index.toString()
removeBtn.addEventListener("mouseenter", () => {
removeBtn.style.color = "#ef4444"
})
removeBtn.addEventListener("mouseleave", () => {
removeBtn.style.color = "#9ca3af"
})
memoryItem.appendChild(memoryText)
memoryItem.appendChild(removeBtn)
content.appendChild(memoryItem)
})
popup.appendChild(header)
popup.appendChild(content)
document.body.appendChild(popup)
feedbackDiv.addEventListener("mouseenter", () => {
const textSpan = feedbackDiv.querySelector("span:last-child")
if (textSpan) {
textSpan.textContent = "Click to see memories"
}
})
feedbackDiv.addEventListener("mouseleave", () => {
const textSpan = feedbackDiv.querySelector("span:last-child")
if (textSpan) {
textSpan.textContent = "Included Memories"
}
})
feedbackDiv.addEventListener("click", (e) => {
e.stopPropagation()
popup.style.display = "block"
})
const onClick = (e: MouseEvent) => {
if (!popup.contains(e.target as Node)) {
popup.style.display = "none"
}
}
document.addEventListener("click", onClick)
t3IncludedPopup = {
el: popup,
onClick,
timer: setTimeout(disposeT3IncludedPopup, 300000),
}
content.querySelectorAll("button[data-memory-index]").forEach((button) => {
const htmlButton = button as HTMLButtonElement
htmlButton.addEventListener("click", () => {
const index = Number.parseInt(htmlButton.dataset.memoryIndex || "0", 10)
htmlButton.parentElement?.remove()
const remainingMemories = parseMemoriesFromDataset(
iconElement.dataset.memoriesData,
)
remainingMemories.splice(index, 1)
const remaining = renumberIncludedMemories(remainingMemories)
const textareaElement =
(document.querySelector("textarea") as HTMLTextAreaElement) ||
(document.querySelector('div[contenteditable="true"]') as HTMLElement)
// Only wipe when nothing remains — `<= 1` used to discard the last kept memory.
if (remaining.length === 0) {
if (textareaElement?.dataset.supermemories) {
delete textareaElement.dataset.supermemories
}
delete iconElement.dataset.memoriesData
iconElement.innerHTML = iconElement.dataset.originalHtml || ""
delete iconElement.dataset.originalHtml
disposeT3IncludedPopup()
return
}
iconElement.dataset.memoriesData =
serializeMemoriesForDataset(remaining)
if (textareaElement) {
textareaElement.dataset.supermemories =
buildSupermemoryText(remaining)
}
content
.querySelectorAll("button[data-memory-index]")
.forEach((btn, newIndex) => {
const htmlBtn = btn as HTMLButtonElement
htmlBtn.dataset.memoryIndex = String(newIndex)
const label = htmlBtn.previousElementSibling
if (label) {
label.textContent = remaining[newIndex].trim()
}
})
})
})
}
iconElement.innerHTML = ""
iconElement.appendChild(feedbackDiv)
if (resetAfter > 0) {
setTimeout(() => {
iconElement.innerHTML = iconElement.dataset.originalHtml || ""
delete iconElement.dataset.originalHtml
}, resetAfter)
}
}
function setupT3PromptCapture() {
if (document.body.hasAttribute("data-t3-prompt-capture-setup")) {
return
}
document.body.setAttribute("data-t3-prompt-capture-setup", "true")
const captureT3PromptContent = async (_source: string) => {
const autoCapture = (await autoCapturePromptsEnabled.getValue()) ?? false
if (!autoCapture) {
return
}
let promptContent = ""
const textarea = document.querySelector("textarea") as HTMLTextAreaElement
if (textarea) {
promptContent = textarea.value || ""
}
if (!promptContent) {
const contentEditableDiv = document.querySelector(
'div[contenteditable="true"]',
) as HTMLElement
if (contentEditableDiv) {
promptContent =
contentEditableDiv.textContent || contentEditableDiv.innerText || ""
}
}
const textareaElement =
textarea ||
(document.querySelector('div[contenteditable="true"]') as HTMLElement)
const storedMemories = textareaElement?.dataset.supermemories
if (
storedMemories &&
textareaElement &&
!promptContent.includes("Supermemories of user")
) {
if (textareaElement.tagName === "TEXTAREA") {
;(textareaElement as HTMLTextAreaElement).value =
`${promptContent} ${storedMemories}`
promptContent = (textareaElement as HTMLTextAreaElement).value
} else {
textareaElement.appendChild(document.createTextNode(storedMemories))
promptContent =
textareaElement.textContent || textareaElement.innerText || ""
}
}
if (promptContent.trim()) {
try {
await browser.runtime.sendMessage({
action: MESSAGE_TYPES.CAPTURE_PROMPT,
data: {
prompt: promptContent,
platform: "t3",
source: window.location.href,
},
})
} catch (error) {
console.error("Error sending T3 prompt to background:", error)
}
}
const icons = document.querySelectorAll('[id*="sm-t3-input-bar-element"]')
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
delete iconElement.dataset.memoriesData
}
})
if (textareaElement?.dataset.supermemories) {
delete textareaElement.dataset.supermemories
}
disposeT3IncludedPopup()
}
const handleT3SendButtonClick = async (event: Event) => {
const target = event.target as HTMLElement
const sendButton =
target.closest("button.focus-visible\\:ring-ring") ||
target.closest('button[class*="bg-[rgb(162,59,103)]"]') ||
target.closest('button[class*="rounded-lg"]')
if (sendButton) {
const textareaElement =
(document.querySelector("textarea") as HTMLTextAreaElement) ||
(document.querySelector('div[contenteditable="true"]') as HTMLElement)
const hasMemories =
textareaElement?.dataset.supermemories ||
(
document.querySelector(
'[id*="sm-t3-input-bar-element"]',
) as HTMLElement
)?.dataset.memoriesData
if (!hasMemories) {
return // No memories present, let the button click proceed normally
}
event.preventDefault()
event.stopPropagation()
await captureT3PromptContent("button click")
setTimeout(() => {
const form = sendButton.closest("form")
if (form) {
form.requestSubmit()
} else {
const newEvent = new MouseEvent("click", {
bubbles: true,
cancelable: true,
view: window,
})
document.removeEventListener("click", handleT3SendButtonClick, true)
sendButton.dispatchEvent(newEvent)
setTimeout(() => {
document.addEventListener("click", handleT3SendButtonClick, true)
}, 100)
}
}, 100)
}
}
const handleT3EnterKey = async (event: KeyboardEvent) => {
const target = event.target as HTMLElement
if (
(target.matches("textarea") ||
target.matches('div[contenteditable="true"]')) &&
event.key === "Enter" &&
!event.shiftKey
) {
const textareaElement =
(document.querySelector("textarea") as HTMLTextAreaElement) ||
(document.querySelector('div[contenteditable="true"]') as HTMLElement)
const hasMemories =
textareaElement?.dataset.supermemories ||
(
document.querySelector(
'[id*="sm-t3-input-bar-element"]',
) as HTMLElement
)?.dataset.memoriesData
if (!hasMemories) {
return // No memories present, let the Enter key proceed normally
}
event.preventDefault()
event.stopPropagation()
await captureT3PromptContent("Enter key")
setTimeout(() => {
const form = target.closest("form")
if (form) {
form.requestSubmit()
} else {
const newEvent = new KeyboardEvent("keydown", {
key: "Enter",
code: "Enter",
bubbles: true,
cancelable: true,
})
target.dispatchEvent(newEvent)
}
}, 100)
}
}
document.addEventListener("click", handleT3SendButtonClick, true)
document.addEventListener("keydown", handleT3EnterKey, true)
}
async function setupT3AutoFetch() {
const autoSearch = (await autoSearchEnabled.getValue()) ?? false
if (!autoSearch) {
return
}
const textareaElement =
(document.querySelector("textarea") as HTMLTextAreaElement) ||
(document.querySelector('div[contenteditable="true"]') as HTMLElement)
if (
!textareaElement ||
textareaElement.hasAttribute("data-supermemory-auto-fetch")
) {
return
}
textareaElement.setAttribute("data-supermemory-auto-fetch", "true")
const handleInput = () => {
if (t3DebounceTimeout) {
clearTimeout(t3DebounceTimeout)
}
t3DebounceTimeout = setTimeout(async () => {
let content = ""
if (textareaElement.tagName === "TEXTAREA") {
content = (textareaElement as HTMLTextAreaElement).value?.trim() || ""
} else {
content = textareaElement.textContent?.trim() || ""
}
if (content.length > 2) {
await getRelatedMemoriesForT3(
POSTHOG_EVENT_KEY.T3_CHAT_MEMORIES_AUTO_SEARCHED,
)
} else if (content.length === 0) {
const icons = document.querySelectorAll(
'[id*="sm-t3-input-bar-element"]',
)
icons.forEach((icon) => {
const iconElement = icon as HTMLElement
if (iconElement.dataset.originalHtml) {
iconElement.innerHTML = iconElement.dataset.originalHtml
delete iconElement.dataset.originalHtml
delete iconElement.dataset.memoriesData
}
})
if (textareaElement.dataset.supermemories) {
delete textareaElement.dataset.supermemories
}
disposeT3IncludedPopup()
}
}, UI_CONFIG.AUTO_SEARCH_DEBOUNCE_DELAY)
}
textareaElement.addEventListener("input", handleInput)
}

View file

@ -1,739 +0,0 @@
import {
DOMAINS,
ELEMENT_IDS,
MESSAGE_TYPES,
POSTHOG_EVENT_KEY,
STORAGE_KEYS,
UI_CONFIG,
} from "../../utils/constants"
import { trackEvent } from "../../utils/posthog"
import {
createProjectSelectionModal,
createSaveTweetElement,
DOMUtils,
} from "../../utils/ui-components"
async function loadSpaceGroteskFonts(): Promise<void> {
if (document.getElementById("supermemory-modal-styles")) {
return Promise.resolve()
}
const style = document.createElement("style")
style.id = "supermemory-modal-styles"
style.textContent = `
@import url('https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300..700&display=swap');
`
document.head.appendChild(style)
await document.fonts.ready
}
/**
* Check if import intent is valid (exists and not expired)
*/
async function checkAndConsumeImportIntent(): Promise<boolean> {
try {
const result = await browser.storage.local.get(
STORAGE_KEYS.TWITTER_BOOKMARKS_IMPORT_INTENT_UNTIL,
)
const intentUntil = result[
STORAGE_KEYS.TWITTER_BOOKMARKS_IMPORT_INTENT_UNTIL
] as number | undefined
if (intentUntil && Date.now() < intentUntil) {
await browser.storage.local.remove(
STORAGE_KEYS.TWITTER_BOOKMARKS_IMPORT_INTENT_UNTIL,
)
return true
}
return false
} catch (error) {
console.error("Error checking import intent:", error)
return false
}
}
/**
* Check if onboarding toast has been shown before
*/
async function hasOnboardingBeenShown(): Promise<boolean> {
try {
const result = await browser.storage.local.get(
STORAGE_KEYS.TWITTER_BOOKMARKS_ONBOARDING_SEEN,
)
return !!result[STORAGE_KEYS.TWITTER_BOOKMARKS_ONBOARDING_SEEN]
} catch (error) {
console.error("Error checking onboarding status:", error)
return true // Default to true to avoid showing toast on error
}
}
/**
* Mark onboarding toast as shown
*/
async function markOnboardingAsShown(): Promise<void> {
try {
await browser.storage.local.set({
[STORAGE_KEYS.TWITTER_BOOKMARKS_ONBOARDING_SEEN]: true,
})
} catch (error) {
console.error("Error marking onboarding as shown:", error)
}
}
export async function initializeTwitter() {
if (!DOMUtils.isOnDomain(DOMAINS.TWITTER)) {
return
}
if (window.location.pathname === "/i/bookmarks") {
setTimeout(async () => {
if (window.location.pathname === "/i/bookmarks") {
await handleBookmarksPageLoad()
}
}, 2000)
} else {
// Clean up any injected UI if navigating away
removeAllTwitterUI()
}
}
/**
* Handle what to show when user lands on bookmarks page
*/
async function handleBookmarksPageLoad() {
if (window.location.pathname !== "/i/bookmarks") {
return
}
addTwitterImportButtonForFolders() // Add buttons to bookmark folders
const hasIntent = await checkAndConsumeImportIntent()
if (hasIntent) {
await openImportModal()
return
}
const onboardingShown = await hasOnboardingBeenShown()
if (!onboardingShown) {
await showOnboardingToast()
await markOnboardingAsShown()
}
}
/**
* Opens the import modal and handles the import flow
*/
export async function openImportModal() {
try {
const response = await browser.runtime.sendMessage({
action: MESSAGE_TYPES.FETCH_PROJECTS,
})
const projects = response.success && response.data ? response.data : []
if (projects.length === 0) {
await browser.runtime.sendMessage({
type: MESSAGE_TYPES.BATCH_IMPORT_ALL,
})
await trackEvent(POSTHOG_EVENT_KEY.TWITTER_IMPORT_STARTED, {
source: `${POSTHOG_EVENT_KEY.SOURCE}_content_script`,
})
} else {
await showAllBookmarksProjectModal(projects)
}
} catch (error) {
console.error("Error opening import modal:", error)
await browser.runtime.sendMessage({
type: MESSAGE_TYPES.BATCH_IMPORT_ALL,
})
}
}
async function showAllBookmarksProjectModal(
projects: Array<{ id: string; name: string; containerTag: string }>,
) {
await loadSpaceGroteskFonts()
const modal = createProjectSelectionModal(
projects,
async (selectedProject) => {
modal.remove()
try {
await browser.runtime.sendMessage({
type: MESSAGE_TYPES.BATCH_IMPORT_ALL,
selectedProject: selectedProject,
})
await trackEvent(POSTHOG_EVENT_KEY.TWITTER_IMPORT_STARTED, {
source: `${POSTHOG_EVENT_KEY.SOURCE}_content_script`,
project_selected: true,
})
} catch (error) {
console.error("Error importing all bookmarks:", error)
}
},
() => {
modal.remove()
},
)
document.body.appendChild(modal)
}
/**
* Shows the one-time onboarding toast with progress bar
*/
async function showOnboardingToast() {
await loadSpaceGroteskFonts()
// Remove any existing toast
const existingToast = document.getElementById(
ELEMENT_IDS.TWITTER_ONBOARDING_TOAST,
)
if (existingToast) {
existingToast.remove()
}
const duration = UI_CONFIG.ONBOARDING_TOAST_DURATION
// Create toast container
const toast = document.createElement("div")
toast.id = ELEMENT_IDS.TWITTER_ONBOARDING_TOAST
toast.style.cssText = `
position: fixed;
bottom: 20px;
right: 20px;
z-index: 2147483647;
background: #ffffff;
border-radius: 12px;
padding: 16px;
display: flex;
flex-direction: column;
gap: 12px;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 14px;
color: #374151;
min-width: 320px;
max-width: 380px;
box-shadow: 0 4px 24px 0 rgba(0,0,0,0.18), 0 1.5px 6px 0 rgba(0,0,0,0.12);
animation: smSlideInUp 0.3s ease-out;
overflow: hidden;
`
// Add keyframe animations if not already present
if (!document.getElementById("supermemory-onboarding-toast-styles")) {
const style = document.createElement("style")
style.id = "supermemory-onboarding-toast-styles"
style.textContent = `
@keyframes smSlideInUp {
from { transform: translateY(100%); opacity: 0; }
to { transform: translateY(0); opacity: 1; }
}
@keyframes smFadeOut {
from { transform: translateY(0); opacity: 1; }
to { transform: translateY(100%); opacity: 0; }
}
@keyframes smProgressGrow {
from { transform: scaleX(0); }
to { transform: scaleX(1); }
}
@keyframes smPulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.4; }
}
`
document.head.appendChild(style)
}
// Header with icon, text and close button
const header = document.createElement("div")
header.style.cssText =
"display: flex; align-items: flex-start; gap: 12px; position: relative;"
const iconUrl = browser.runtime.getURL("/new_logo.png")
const icon = document.createElement("img")
icon.src = iconUrl
icon.alt = "Supermemory"
icon.style.cssText =
"width: 24px; height: 24px; border-radius: 4px; flex-shrink: 0; margin-top: 2px;"
const textContainer = document.createElement("div")
textContainer.style.cssText =
"display: flex; flex-direction: column; gap: 4px; flex: 1;"
const title = document.createElement("span")
title.style.cssText = "font-weight: 600; font-size: 14px; color: #111827;"
title.textContent = "Import X/Twitter Bookmarks"
const description = document.createElement("span")
description.style.cssText =
"font-size: 13px; color: #6b7280; line-height: 1.4;"
description.textContent =
"You can import all your Twitter bookmarks to Supermemory with one click."
textContainer.appendChild(title)
textContainer.appendChild(description)
// Close button
const closeButton = document.createElement("button")
closeButton.setAttribute("aria-label", "Close onboarding toast")
closeButton.style.cssText = `
position: absolute;
top: 0;
right: 0;
background: transparent;
border: none;
cursor: pointer;
padding: 4px;
color: #9ca3af;
display: flex;
align-items: center;
justify-content: center;
border-radius: 4px;
transition: background-color 0.2s;
`
closeButton.innerHTML = `
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true">
<line x1="18" y1="6" x2="6" y2="18"></line>
<line x1="6" y1="6" x2="18" y2="18"></line>
</svg>
`
closeButton.addEventListener("mouseenter", () => {
closeButton.style.backgroundColor = "#f3f4f6"
})
closeButton.addEventListener("mouseleave", () => {
closeButton.style.backgroundColor = "transparent"
})
closeButton.addEventListener("click", () => {
dismissToast(toast)
})
header.appendChild(icon)
header.appendChild(textContainer)
header.appendChild(closeButton)
// Action buttons
const buttonsContainer = document.createElement("div")
buttonsContainer.style.cssText = "display: flex; gap: 8px; margin-top: 4px;"
const importButton = document.createElement("button")
importButton.style.cssText = `
padding: 8px 16px;
border: none;
border-radius: 8px;
background: linear-gradient(182.37deg, #0ff0d2 -91.53%, #5bd3fb -67.8%, #1e0ff0 95.17%);
color: white;
font-size: 13px;
font-weight: 500;
cursor: pointer;
transition: opacity 0.2s;
font-family: inherit;
`
importButton.textContent = "Import now"
importButton.addEventListener("mouseenter", () => {
importButton.style.opacity = "0.9"
})
importButton.addEventListener("mouseleave", () => {
importButton.style.opacity = "1"
})
importButton.addEventListener("click", async () => {
dismissToast(toast)
await openImportModal()
})
const learnMoreButton = document.createElement("button")
learnMoreButton.style.cssText = `
padding: 8px 16px;
border: 1px solid #e5e7eb;
border-radius: 8px;
background: transparent;
color: #374151;
font-size: 13px;
font-weight: 500;
cursor: pointer;
transition: background-color 0.2s;
font-family: inherit;
`
learnMoreButton.textContent = "Learn more"
learnMoreButton.addEventListener("mouseenter", () => {
learnMoreButton.style.backgroundColor = "#f9fafb"
})
learnMoreButton.addEventListener("mouseleave", () => {
learnMoreButton.style.backgroundColor = "transparent"
})
learnMoreButton.addEventListener("click", () => {
window.open("https://docs.supermemory.ai/connectors/twitter", "_blank")
})
buttonsContainer.appendChild(importButton)
buttonsContainer.appendChild(learnMoreButton)
// Progress bar container
const progressBarContainer = document.createElement("div")
progressBarContainer.setAttribute("role", "progressbar")
progressBarContainer.setAttribute("aria-valuemin", "0")
progressBarContainer.setAttribute("aria-valuemax", "100")
progressBarContainer.setAttribute("aria-valuenow", "0")
progressBarContainer.setAttribute(
"aria-label",
"Onboarding toast auto-dismiss progress",
)
progressBarContainer.style.cssText = `
position: absolute;
bottom: 0;
left: 0;
right: 0;
height: 3px;
background: #e5e7eb;
`
const progressBar = document.createElement("div")
progressBar.style.cssText = `
height: 100%;
background: linear-gradient(90deg, #0ff0d2, #5bd3fb, #1e0ff0);
transform-origin: left;
animation: smProgressGrow ${duration}ms linear forwards;
`
// Update progress bar ARIA value as animation progresses
const startTime = Date.now()
const updateProgress = () => {
const elapsed = Date.now() - startTime
const progress = Math.min(100, Math.round((elapsed / duration) * 100))
progressBarContainer.setAttribute("aria-valuenow", String(progress))
if (progress < 100) {
requestAnimationFrame(updateProgress)
}
}
requestAnimationFrame(updateProgress)
progressBarContainer.appendChild(progressBar)
// Assemble toast
toast.appendChild(header)
toast.appendChild(buttonsContainer)
toast.appendChild(progressBarContainer)
document.body.appendChild(toast)
// Auto-dismiss after duration
setTimeout(() => {
if (document.body.contains(toast)) {
dismissToast(toast)
}
}, duration)
}
/**
* Dismiss the toast with animation
*/
function dismissToast(toast: HTMLElement) {
toast.style.animation = "smFadeOut 0.3s ease-out forwards"
setTimeout(() => {
if (document.body.contains(toast)) {
toast.remove()
}
}, 300)
}
/**
* Remove all Twitter-specific injected UI
*/
function removeAllTwitterUI() {
// Remove import button (legacy)
if (DOMUtils.elementExists(ELEMENT_IDS.TWITTER_IMPORT_BUTTON)) {
DOMUtils.removeElement(ELEMENT_IDS.TWITTER_IMPORT_BUTTON)
}
// Remove onboarding toast
if (DOMUtils.elementExists(ELEMENT_IDS.TWITTER_ONBOARDING_TOAST)) {
DOMUtils.removeElement(ELEMENT_IDS.TWITTER_ONBOARDING_TOAST)
}
// Remove import progress toast
if (DOMUtils.elementExists(ELEMENT_IDS.TWITTER_IMPORT_PROGRESS_TOAST)) {
DOMUtils.removeElement(ELEMENT_IDS.TWITTER_IMPORT_PROGRESS_TOAST)
}
// Remove any folder buttons
document.querySelectorAll("[data-supermemory-button]").forEach((button) => {
button.remove()
})
}
/**
* Shows or updates the import progress toast in the bottom-right
*/
function showOrUpdateImportProgressToast(message: string, isComplete = false) {
let toast = document.getElementById(ELEMENT_IDS.TWITTER_IMPORT_PROGRESS_TOAST)
if (!toast) {
// Ensure animation styles are available
if (!document.getElementById("supermemory-onboarding-toast-styles")) {
const style = document.createElement("style")
style.id = "supermemory-onboarding-toast-styles"
style.textContent = `
@keyframes smSlideInUp {
from { transform: translateY(100%); opacity: 0; }
to { transform: translateY(0); opacity: 1; }
}
@keyframes smFadeOut {
from { transform: translateY(0); opacity: 1; }
to { transform: translateY(100%); opacity: 0; }
}
@keyframes smPulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.4; }
}
`
document.head.appendChild(style)
}
// Create new toast
toast = document.createElement("div")
toast.id = ELEMENT_IDS.TWITTER_IMPORT_PROGRESS_TOAST
toast.style.cssText = `
position: fixed;
bottom: 20px;
right: 20px;
z-index: 2147483647;
background: #ffffff;
border-radius: 12px;
padding: 14px 16px;
display: flex;
align-items: center;
gap: 12px;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 14px;
color: #374151;
min-width: 280px;
max-width: 360px;
box-shadow: 0 4px 24px 0 rgba(0,0,0,0.18), 0 1.5px 6px 0 rgba(0,0,0,0.12);
animation: smSlideInUp 0.3s ease-out;
`
const iconUrl = browser.runtime.getURL("/new_logo.png")
const icon = document.createElement("img")
icon.src = iconUrl
icon.alt = "Supermemory"
icon.id = "sm-import-progress-icon"
icon.style.cssText =
"width: 20px; height: 20px; border-radius: 4px; flex-shrink: 0; animation: smPulse 1.5s ease-in-out infinite;"
const textSpan = document.createElement("span")
textSpan.id = "sm-import-progress-text"
textSpan.style.cssText = "font-weight: 500; flex: 1;"
textSpan.textContent = message
toast.appendChild(icon)
toast.appendChild(textSpan)
document.body.appendChild(toast)
} else {
// Update existing toast
const textSpan = toast.querySelector(
"#sm-import-progress-text",
) as HTMLSpanElement
if (textSpan) {
textSpan.textContent = message
}
}
// Style for completion
if (isComplete) {
const icon = toast.querySelector(
"#sm-import-progress-icon",
) as HTMLImageElement
if (icon) {
icon.style.animation = "none"
icon.style.opacity = "1"
}
const textSpan = toast.querySelector(
"#sm-import-progress-text",
) as HTMLSpanElement
if (textSpan) {
textSpan.style.color = "#059669"
}
// Auto-dismiss after 4 seconds on completion
setTimeout(() => {
const existingToast = document.getElementById(
ELEMENT_IDS.TWITTER_IMPORT_PROGRESS_TOAST,
)
if (existingToast) {
dismissToast(existingToast)
}
}, 4000)
}
}
export function updateTwitterImportUI(message: {
type: string
importedMessage?: string
totalImported?: number
}) {
if (message.type === MESSAGE_TYPES.IMPORT_UPDATE && message.importedMessage) {
showOrUpdateImportProgressToast(message.importedMessage, false)
}
if (message.type === MESSAGE_TYPES.IMPORT_DONE) {
showOrUpdateImportProgressToast(
`✓ Imported ${message.totalImported} tweets!`,
true,
)
}
}
export async function handleTwitterNavigation() {
if (!DOMUtils.isOnDomain(DOMAINS.TWITTER)) {
return
}
if (window.location.pathname === "/i/bookmarks") {
addTwitterImportButtonForFolders()
await handleBookmarksPageLoad()
} else {
removeAllTwitterUI()
}
}
/**
* Adds import buttons to bookmark folders
*/
function addTwitterImportButtonForFolders() {
if (window.location.pathname !== "/i/bookmarks") {
return
}
const targetElements = document.querySelectorAll(
".css-175oi2r.r-1wtj0ep.r-16x9es5.r-1mmae3n.r-o7ynqc.r-6416eg.r-1ny4l3l.r-1loqt21",
)
targetElements.forEach((element) => {
addButtonToElement(element as HTMLElement)
})
}
/**
* Adds an import button to a bookmark folder element
*/
function addButtonToElement(element: HTMLElement) {
if (element.querySelector("[data-supermemory-button]")) {
return
}
loadSpaceGroteskFonts()
const button = createSaveTweetElement(async () => {
const url = element.getAttribute("href")
const bookmarkCollectionId = url?.split("/").pop()
if (bookmarkCollectionId) {
await showFolderProjectSelectionModal(bookmarkCollectionId)
}
})
button.setAttribute("data-supermemory-button", "true")
element.appendChild(button)
element.style.flexDirection = "row"
element.style.alignItems = "center"
element.style.justifyContent = "center"
element.style.gap = "10px"
element.style.padding = "10px"
}
/**
* Shows the project selection modal for folder imports
*/
async function showFolderProjectSelectionModal(bookmarkCollectionId: string) {
await loadSpaceGroteskFonts()
const modal = createProjectSelectionModal(
[],
async (selectedProject) => {
modal.remove()
try {
await browser.runtime.sendMessage({
type: MESSAGE_TYPES.BATCH_IMPORT_ALL,
isFolderImport: true,
bookmarkCollectionId: bookmarkCollectionId,
selectedProject: selectedProject,
})
} catch (error) {
console.error("Error importing bookmarks:", error)
}
},
() => {
modal.remove()
},
)
document.body.appendChild(modal)
try {
const response = await browser.runtime.sendMessage({
action: MESSAGE_TYPES.FETCH_PROJECTS,
})
if (response.success && response.data) {
const projects = response.data
updateModalWithProjects(modal, projects)
} else {
console.error("Failed to fetch projects:", response.error)
updateModalWithProjects(modal, [])
}
} catch (error) {
console.error("Error fetching projects:", error)
updateModalWithProjects(modal, [])
}
}
/**
* Updates the modal with fetched projects
*/
function updateModalWithProjects(
modal: HTMLElement,
projects: Array<{ id: string; name: string; containerTag: string }>,
) {
const select = modal.querySelector("#project-select") as HTMLSelectElement
if (!select) return
while (select.children.length > 1) {
select.removeChild(select.children[1])
}
if (projects.length === 0) {
const noProjectsOption = document.createElement("option")
noProjectsOption.value = ""
noProjectsOption.textContent = "No projects available"
noProjectsOption.disabled = true
select.appendChild(noProjectsOption)
const importButton = modal.querySelector(
"button:last-child",
) as HTMLButtonElement
if (importButton) {
importButton.disabled = true
importButton.style.cssText = `
padding: 10px 16px;
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 12px;
background: rgba(255, 255, 255, 0.05);
color: rgba(255, 255, 255, 0.3);
font-size: 14px;
font-weight: 500;
cursor: not-allowed;
transition: all 0.2s ease;
`
}
} else {
projects.forEach((project) => {
const option = document.createElement("option")
option.value = project.id
option.textContent = project.name
option.dataset.containerTag = project.containerTag
select.appendChild(option)
})
}
}

View file

@ -1,42 +0,0 @@
@import "tailwindcss";
/* Custom Font Definitions */
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 300;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Light.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 400;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Regular.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 500;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Medium.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 600;
font-display: swap;
src: url("/fonts/SpaceGrotesk-SemiBold.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 700;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Bold.ttf") format("truetype");
}

File diff suppressed because it is too large Load diff

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@ -1,13 +0,0 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>supermemory</title>
<meta name="manifest.type" content="browser_action" />
</head>
<body>
<div id="root"></div>
<script type="module" src="./main.tsx"></script>
</body>
</html>

View file

@ -1,17 +0,0 @@
import { QueryClientProvider } from "@tanstack/react-query"
import React from "react"
import ReactDOM from "react-dom/client"
import { queryClient } from "../../utils/query-client"
import App from "./App.js"
import "./style.css"
const rootElement = document.getElementById("root")
if (rootElement) {
ReactDOM.createRoot(rootElement).render(
<React.StrictMode>
<QueryClientProvider client={queryClient}>
<App />
</QueryClientProvider>
</React.StrictMode>,
)
}

View file

@ -1,21 +0,0 @@
:root {
font-family:
"Space Grotesk", Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
line-height: 1.5;
font-weight: 400;
color-scheme: dark;
color: rgba(255, 255, 255, 0.92);
background-color: #0a0e14;
border: 1px solid #0a0e14;
font-synthesis: none;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
-webkit-text-size-adjust: 100%;
}
a:hover {
color: #93c5fd;
}

View file

@ -1,116 +0,0 @@
import { getSupermemoryLoginUrl } from "../../utils/constants"
const featureCards = [
{
number: "01",
title: "Save any page",
description: "Articles, docs, and references from the browser.",
},
{
number: "02",
title: "Import X bookmarks",
description: "Bring saved posts into your memory library.",
},
{
number: "03",
title: "Capture AI chats",
description: "Save useful conversations from ChatGPT, Claude, and Gemini.",
},
{
number: "04",
title: "Use context anywhere",
description: "Search and reuse memories when you need them.",
},
]
function Welcome() {
return (
<div className="relative min-h-screen overflow-hidden bg-[#05080D] text-white font-[Space_Grotesk,-apple-system,BlinkMacSystemFont,Segoe_UI,Roboto,sans-serif]">
<div
className="pointer-events-none absolute inset-0"
style={{
background:
"linear-gradient(180deg, #05080D 0%, #05070A 48%, #060A18 100%)",
}}
/>
<div className="pointer-events-none absolute inset-0 bg-[radial-gradient(circle_at_center,rgba(105,167,240,0.20)_1px,transparent_1px)] bg-size-[32px_32px] opacity-70 mask-[linear-gradient(to_bottom,transparent_0%,black_12%,black_100%)]" />
<div className="pointer-events-none absolute inset-x-0 bottom-0 h-[55%] bg-[radial-gradient(ellipse_at_bottom,rgba(20,65,255,0.42),transparent_68%)]" />
<main className="relative mx-auto flex min-h-screen w-full max-w-6xl flex-col px-6 py-6 sm:px-10">
<header className="flex items-center border-b border-white/10 pb-5">
<div className="flex items-center gap-2">
<img alt="" className="size-8 rounded-[4px]" src="./new_logo.png" />
<span className="text-lg font-semibold leading-none text-white">
supermemory
</span>
</div>
</header>
<section className="flex flex-1 flex-col items-center justify-center py-10 text-center">
<div className="mx-auto max-w-3xl">
<h1 className="text-4xl font-semibold leading-[1.05] tracking-normal text-white sm:text-6xl">
Your browser now has{" "}
<span className="text-[#369BFD]">supermemory.</span>
</h1>
<div className="mt-8 flex flex-col justify-center gap-3 sm:flex-row">
<button
className="h-12 rounded-xl px-7 text-sm font-semibold text-white transition hover:brightness-110 focus:outline-none focus:ring-2 focus:ring-[#36fdfd]/70"
style={{
background:
"linear-gradient(182.37deg, #0ff0d2 -91.53%, #5bd3fb -67.8%, #1e0ff0 95.17%)",
boxShadow:
"1px 1px 2px 0px #1A88FF inset, 0 2px 18px 0 rgba(54, 155, 253, 0.24)",
}}
onClick={() => {
chrome.tabs.create({
url: getSupermemoryLoginUrl(),
})
}}
type="button"
>
Sign in to connect
</button>
<button
className="h-12 rounded-xl border border-[#369BFD]/25 bg-[#080B0F]/80 px-6 text-sm font-semibold text-[#C7D7F2] transition hover:border-[#369BFD]/50 hover:bg-[#0D121A] focus:outline-none focus:ring-2 focus:ring-[#369BFD]/30"
onClick={() => {
chrome.tabs.create({
url: "https://supermemory.ai",
})
}}
type="button"
>
Open supermemory.ai
</button>
</div>
</div>
<div className="mt-14 grid w-full max-w-5xl gap-3 text-left sm:grid-cols-2 lg:grid-cols-4">
{featureCards.map((feature) => (
<div
className="rounded-lg border border-white/10 bg-white/[0.035] p-4"
key={feature.number}
>
<p className="text-[11px] font-medium text-[#737373]">
{feature.number}
</p>
<h2 className="mt-4 text-sm font-semibold text-white">
{feature.title}
</h2>
<p className="mt-2 text-sm leading-6 text-[#A1A1AA]">
{feature.description}
</p>
</div>
))}
</div>
</section>
<footer className="border-t border-white/10 py-5 text-xs text-[#737373]">
supermemory stores your extension session locally in Chrome.
</footer>
</main>
</div>
)
}
export default Welcome

View file

@ -1,13 +0,0 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/png" href="/new_logo.png" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Welcome to supermemory</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="./main.tsx"></script>
</body>
</html>

View file

@ -1,17 +0,0 @@
import { QueryClientProvider } from "@tanstack/react-query"
import React from "react"
import ReactDOM from "react-dom/client"
import { queryClient } from "../../utils/query-client"
import Welcome from "./Welcome"
import "./welcome.css"
const rootElement = document.getElementById("root")
if (rootElement) {
ReactDOM.createRoot(rootElement).render(
<React.StrictMode>
<QueryClientProvider client={queryClient}>
<Welcome />
</QueryClientProvider>
</React.StrictMode>,
)
}

View file

@ -1,49 +0,0 @@
@import "tailwindcss";
/* Custom Font Definitions */
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 300;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Light.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 400;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Regular.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 500;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Medium.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 600;
font-display: swap;
src: url("/fonts/SpaceGrotesk-SemiBold.ttf") format("truetype");
}
@font-face {
font-family: "Space Grotesk";
font-style: normal;
font-weight: 700;
font-display: swap;
src: url("/fonts/SpaceGrotesk-Bold.ttf") format("truetype");
}
/* Global Styles */
body {
font-family:
"Space Grotesk", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
sans-serif;
}

View file

@ -1,36 +0,0 @@
{
"name": "supermemory-browser-extension",
"description": "Browser extension for the supermemory app",
"private": true,
"version": "0.0.1",
"type": "module",
"scripts": {
"dev": "wxt --port 3001",
"dev:firefox": "wxt -b firefox",
"build": "wxt build",
"build:firefox": "wxt build -b firefox",
"check-types": "bun run compile",
"zip": "wxt zip",
"zip:firefox": "wxt zip -b firefox",
"compile": "tsc --noEmit",
"postinstall": "wxt prepare"
},
"dependencies": {
"@tailwindcss/vite": "^4.1.12",
"@tanstack/react-query": "^5.81.2",
"posthog-js": "^1.261.7",
"react": "19.2.2",
"react-dom": "19.2.2",
"tailwindcss": "^4.1.12",
"turndown": "^7.1.3"
},
"devDependencies": {
"@types/chrome": "^0.1.4",
"@types/react": "^19.1.2",
"@types/react-dom": "^19.1.3",
"@types/turndown": "^5.0.5",
"@wxt-dev/module-react": "^1.1.3",
"typescript": "^5.8.3",
"wxt": "^0.20.6"
}
}

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@ -1,9 +0,0 @@
{
"extends": "./.wxt/tsconfig.json",
"compilerOptions": {
"allowImportingTsExtensions": true,
"jsx": "react-jsx",
"types": ["chrome"]
},
"exclude": ["**/*.test.ts"]
}

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/**
* API service for supermemory browser extension
*/
import { API_ENDPOINTS } from "./constants"
import { bearerToken, defaultProject, userData } from "./storage"
import { buildSearchMemoriesBody } from "./search-request"
import {
AuthenticationError,
type MemoryPayload,
type Project,
type ProjectsResponse,
SupermemoryAPIError,
} from "./types"
/**
* Get bearer token from storage
*/
async function getBearerToken(): Promise<string> {
const token = await bearerToken.getValue()
if (!token) {
throw new AuthenticationError("Bearer token not found")
}
return token
}
/**
* Make authenticated API request
*/
async function makeAuthenticatedRequest<T>(
endpoint: string,
options: RequestInit = {},
): Promise<T> {
const token = await getBearerToken()
const response = await fetch(`${API_ENDPOINTS.SUPERMEMORY_API}${endpoint}`, {
...options,
credentials: "omit",
headers: {
Authorization: `Bearer ${token}`,
"Content-Type": "application/json",
...options.headers,
},
})
if (!response.ok) {
if (response.status === 401) {
throw new AuthenticationError("Invalid or expired token")
}
throw new SupermemoryAPIError(
`API request failed: ${response.statusText}`,
response.status,
)
}
return response.json()
}
/**
* Fetch all projects from API
*/
export async function fetchProjects(): Promise<Project[]> {
try {
const response =
await makeAuthenticatedRequest<ProjectsResponse>("/v3/projects")
return response.projects
} catch (error) {
console.error("Failed to fetch projects:", error)
throw error
}
}
/**
* Get default project from storage
*/
export async function getDefaultProject(): Promise<Project | null> {
try {
const defaultProjectValue = await defaultProject.getValue()
return defaultProjectValue || null
} catch (error) {
console.error("Failed to get default project:", error)
return null
}
}
/**
* Set default project in storage
*/
export async function setDefaultProject(project: Project): Promise<void> {
try {
await defaultProject.setValue(project)
} catch (error) {
console.error("Failed to set default project:", error)
throw error
}
}
/**
* Validate if current bearer token is still valid
*/
export async function validateAuthToken(): Promise<boolean> {
try {
await makeAuthenticatedRequest<ProjectsResponse>("/v3/projects")
return true
} catch (error) {
if (error instanceof AuthenticationError) {
return false
}
console.error("Failed to validate auth token:", error)
return true
}
}
/**
* Get user data from storage
*/
export async function getUserData(): Promise<{
email?: string
name?: string
} | null> {
try {
return (await userData.getValue()) || null
} catch (error) {
console.error("Failed to get user data:", error)
return null
}
}
/**
* Save memory to Supermemory API
*/
export async function saveMemory(payload: MemoryPayload): Promise<unknown> {
try {
const response = await makeAuthenticatedRequest<unknown>("/v3/documents", {
method: "POST",
body: JSON.stringify(payload),
})
return response
} catch (error) {
console.error("Failed to save memory:", error)
throw error
}
}
/**
* Search memories using Supermemory API
*/
export async function searchMemories(
query: string,
containerTag?: string,
): Promise<unknown> {
try {
const response = await makeAuthenticatedRequest<unknown>("/v4/search", {
method: "POST",
body: JSON.stringify(buildSearchMemoriesBody(query, containerTag)),
})
return response
} catch (error) {
console.error("Failed to search memories:", error)
throw error
}
}
/**
* Save tweet to Supermemory API (specific for Twitter imports)
*/
export async function saveAllTweets(
documents: MemoryPayload[],
): Promise<unknown> {
try {
const response = await makeAuthenticatedRequest<unknown>(
"/v3/documents/batch",
{
method: "POST",
body: JSON.stringify({
documents,
metadata: {
sm_source: "consumer",
sm_internal_group_id: "twitter_bookmarks",
},
}),
},
)
return response
} catch (error) {
if (error instanceof SupermemoryAPIError && error.statusCode === 409) {
// Skip if already exists (409 Conflict)
return
}
throw error
}
}

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@ -1,115 +0,0 @@
/**
* API Endpoints
*/
export const API_ENDPOINTS = {
SUPERMEMORY_API: import.meta.env.PROD
? "https://api.supermemory.ai"
: "http://localhost:8787",
SUPERMEMORY_WEB: import.meta.env.PROD
? "https://app.supermemory.ai"
: "http://localhost:3000",
} as const
export function getSupermemoryLoginUrl(): string {
const baseUrl = API_ENDPOINTS.SUPERMEMORY_WEB
const loginUrl = new URL("/login", baseUrl)
const redirectUrl = new URL("/", baseUrl)
redirectUrl.searchParams.set("extension-auth-success", "true")
loginUrl.searchParams.set("redirect", redirectUrl.toString())
return loginUrl.toString()
}
/**
* DOM Element IDs
*/
export const ELEMENT_IDS = {
TWITTER_IMPORT_BUTTON: "sm-twitter-import-button",
TWITTER_ONBOARDING_TOAST: "sm-twitter-onboarding-toast",
TWITTER_IMPORT_PROGRESS_TOAST: "sm-twitter-import-progress-toast",
SUPERMEMORY_TOAST: "sm-toast",
SUPERMEMORY_SAVE_BUTTON: "sm-save-button",
SAVE_TWEET_ELEMENT: "sm-save-tweet-element",
CHATGPT_INPUT_BAR_ELEMENT: "sm-chatgpt-input-bar-element",
CLAUDE_INPUT_BAR_ELEMENT: "sm-claude-input-bar-element",
GEMINI_INPUT_BAR_ELEMENT: "sm-gemini-input-bar-element",
T3_INPUT_BAR_ELEMENT: "sm-t3-input-bar-element",
PROJECT_SELECTION_MODAL: "sm-project-selection-modal",
} as const
/**
* Storage Keys for local
*/
export const STORAGE_KEYS = {
TWITTER_BOOKMARKS_ONBOARDING_SEEN: "sm_twitter_bookmarks_onboarding_seen",
TWITTER_BOOKMARKS_IMPORT_INTENT_UNTIL:
"sm_twitter_bookmarks_import_intent_until",
} as const
/**
* UI Configuration
*/
export const UI_CONFIG = {
BUTTON_SHOW_DELAY: 2000, // milliseconds
TOAST_DURATION: 3000, // milliseconds
ONBOARDING_TOAST_DURATION: 6000, // milliseconds (6 seconds for progress bar)
IMPORT_INTENT_TTL: 2 * 60 * 1000, // 2 minutes TTL for import intent
RATE_LIMIT_BASE_WAIT: 60000, // 1 minute
PAGINATION_DELAY: 1000, // 1 second between requests
AUTO_SEARCH_DEBOUNCE_DELAY: 1500, // milliseconds to wait after user stops typing
OBSERVER_THROTTLE_DELAY: 300, // milliseconds between observer callback executions
ROUTE_CHECK_INTERVAL: 2000, // milliseconds between route change checks
API_REQUEST_TIMEOUT: 10000, // milliseconds for API request timeout
} as const
/**
* Supported Domains
*/
export const DOMAINS = {
TWITTER: ["x.com", "twitter.com"],
CHATGPT: ["chatgpt.com", "chat.openai.com"],
CLAUDE: ["claude.ai"],
GROK: ["grok.com", "x.ai"],
GEMINI: ["gemini.google.com"],
T3: ["t3.chat"],
SUPERMEMORY: ["localhost", "supermemory.ai", "app.supermemory.ai"],
} as const
/**
* Container Tags
*/
export const CONTAINER_TAGS = {
TWITTER_BOOKMARKS: "sm_project_twitter_bookmarks",
DEFAULT_PROJECT: "sm_project_default",
} as const
/**
* Message Types for extension communication
*/
export const MESSAGE_TYPES = {
SAVE_MEMORY: "sm-save-memory",
SHOW_TOAST: "sm-show-toast",
BATCH_IMPORT_ALL: "sm-batch-import-all",
IMPORT_UPDATE: "sm-import-update",
IMPORT_DONE: "sm-import-done",
GET_RELATED_MEMORIES: "sm-get-related-memories",
CAPTURE_PROMPT: "sm-capture-prompt",
FETCH_PROJECTS: "sm-fetch-projects",
TWITTER_IMPORT_OPEN_MODAL: "sm-twitter-import-open-modal",
} as const
export const POSTHOG_EVENT_KEY = {
TWITTER_IMPORT_STARTED: "twitter_import_started",
SAVE_MEMORY_ATTEMPTED: "save_memory_attempted",
SAVE_MEMORY_ATTEMPT_FAILED: "save_memory_attempt_failed",
SOURCE: "extension",
T3_CHAT_MEMORIES_SEARCHED: "t3_chat_memories_searched",
T3_CHAT_MEMORIES_AUTO_SEARCHED: "t3_chat_memories_auto_searched",
CLAUDE_CHAT_MEMORIES_SEARCHED: "claude_chat_memories_searched",
CLAUDE_CHAT_MEMORIES_AUTO_SEARCHED: "claude_chat_memories_auto_searched",
GEMINI_CHAT_MEMORIES_SEARCHED: "gemini_chat_memories_searched",
GEMINI_CHAT_MEMORIES_AUTO_SEARCHED: "gemini_chat_memories_auto_searched",
CHATGPT_CHAT_MEMORIES_SEARCHED: "chatgpt_chat_memories_searched",
CHATGPT_CHAT_MEMORIES_AUTO_SEARCHED: "chatgpt_chat_memories_auto_searched",
} as const

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@ -1,93 +0,0 @@
/**
* Memory Popup Utilities
* Standardized popup positioning and styling for memory display across platforms
*/
export interface MemoryPopupConfig {
memoriesData: string
onClose: () => void
onRemove?: () => void
}
export function createMemoryPopup(config: MemoryPopupConfig): HTMLElement {
const popup = document.createElement("div")
popup.style.cssText = `
position: fixed;
bottom: 80px;
left: 50%;
transform: translateX(-50%);
background: #1a1a1a;
color: white;
padding: 0;
border-radius: 12px;
font-size: 13px;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', sans-serif;
max-width: 500px;
max-height: 400px;
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.4);
z-index: 999999;
display: none;
overflow: hidden;
`
const header = document.createElement("div")
header.style.cssText = `
display: flex;
justify-content: space-between;
align-items: center;
padding: 8px;
border-bottom: 1px solid #333;
opacity: 0.8;
`
header.innerHTML = `
<span style="font-size: 11px; font-weight: 600; letter-spacing: 0.5px;">INCLUDED MEMORIES</span>
<div style="display: flex; gap: 4px;">
${config.onRemove ? '<button id="remove-memories-btn" style="background: none; border: none; color: #ff4444; cursor: pointer; font-size: 14px; padding: 2px; border-radius: 2px;" title="Remove memories">✕</button>' : ""}
<button id="close-popup-btn" style="background: none; border: none; color: white; cursor: pointer; font-size: 14px; padding: 2px; border-radius: 2px;"></button>
</div>
`
const content = document.createElement("div")
content.style.cssText = `
padding: 8px;
max-height: 300px;
overflow-y: auto;
line-height: 1.4;
`
content.textContent = config.memoriesData
const closeBtn = header.querySelector("#close-popup-btn")
closeBtn?.addEventListener("click", config.onClose)
const removeBtn = header.querySelector("#remove-memories-btn")
if (removeBtn && config.onRemove) {
removeBtn.addEventListener("click", config.onRemove)
}
popup.appendChild(header)
popup.appendChild(content)
return popup
}
export function showMemoryPopup(popup: HTMLElement): void {
popup.style.display = "block"
setTimeout(() => {
if (popup.style.display === "block") {
hideMemoryPopup(popup)
}
}, 10000)
}
export function hideMemoryPopup(popup: HTMLElement): void {
popup.style.display = "none"
}
export function toggleMemoryPopup(popup: HTMLElement): void {
if (popup.style.display === "none" || popup.style.display === "") {
showMemoryPopup(popup)
} else {
hideMemoryPopup(popup)
}
}

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@ -1,76 +0,0 @@
import { PostHog } from "posthog-js/dist/module.no-external"
import { userData } from "./storage"
export async function identifyUser(posthog: PostHog): Promise<void> {
const storedUserData = await userData.getValue()
if (storedUserData?.userId) {
posthog.identify(storedUserData.userId, {
email: storedUserData.email,
name: storedUserData.name,
userId: storedUserData.userId,
})
}
}
let posthogInstance: PostHog | null = null
let initializationPromise: Promise<PostHog> | null = null
export const POSTHOG_CONFIG = {
api_host: "https://api.supermemory.ai/orange",
person_profiles: "identified_only",
disable_external_dependency_loading: true,
persistence: "localStorage",
capture_pageview: false,
autocapture: false,
} as const
export async function getPostHogInstance(): Promise<PostHog> {
if (posthogInstance) {
return posthogInstance
}
if (initializationPromise) {
return initializationPromise
}
initializationPromise = initializePostHog()
return initializationPromise
}
async function initializePostHog(): Promise<PostHog> {
try {
const posthog = new PostHog()
if (!import.meta.env.WXT_POSTHOG_API_KEY) {
console.error("PostHog API key not configured")
throw new Error("PostHog API key not configured")
}
posthog.init(
"phc_ShqecfUPQgf16lWu6ZMUzduQvcWzCywrkCz5KHwmWsv",
POSTHOG_CONFIG,
)
await identifyUser(posthog)
posthogInstance = posthog
return posthog
} catch (error) {
console.error("Failed to initialize PostHog:", error)
initializationPromise = null
throw error
}
}
export async function trackEvent(
eventName: string,
properties?: Record<string, unknown>,
): Promise<void> {
try {
const posthog = await getPostHogInstance()
posthog.capture(eventName, properties)
} catch (error) {
console.error(`Failed to track event ${eventName}:`, error)
}
}

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@ -1,25 +0,0 @@
/**
* React Query configuration for supermemory browser extension
*/
import { QueryClient } from "@tanstack/react-query"
export const queryClient = new QueryClient({
defaultOptions: {
queries: {
staleTime: 5 * 60 * 1000, // 5 minutes
gcTime: 10 * 60 * 1000, // 10 minutes (previously cacheTime)
retry: (failureCount, error) => {
// Don't retry on authentication errors
if (error?.constructor?.name === "AuthenticationError") {
return false
}
return failureCount < 3
},
refetchOnMount: true,
refetchOnWindowFocus: false,
},
mutations: {
retry: 1,
},
},
})

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@ -1,76 +0,0 @@
/**
* React Query hooks for supermemory API
*/
import { useMutation, useQuery, useQueryClient } from "@tanstack/react-query"
import {
fetchProjects,
getDefaultProject,
getUserData,
saveMemory,
searchMemories,
setDefaultProject,
} from "./api"
import type { MemoryPayload } from "./types"
// Query Keys
export const queryKeys = {
projects: ["projects"] as const,
defaultProject: ["defaultProject"] as const,
userData: ["userData"] as const,
}
// Projects Query
export function useProjects(options?: { enabled?: boolean }) {
return useQuery({
queryKey: queryKeys.projects,
queryFn: fetchProjects,
staleTime: 5 * 60 * 1000, // 5 minutes
enabled: options?.enabled ?? true,
})
}
// Default Project Query
export function useDefaultProject(options?: { enabled?: boolean }) {
return useQuery({
queryKey: queryKeys.defaultProject,
queryFn: getDefaultProject,
staleTime: 2 * 60 * 1000, // 2 minutes
enabled: options?.enabled ?? true,
})
}
// User Data Query
export function useUserData(options?: { enabled?: boolean }) {
return useQuery({
queryKey: queryKeys.userData,
queryFn: getUserData,
staleTime: 5 * 60 * 1000, // 5 minutes
enabled: options?.enabled ?? true,
})
}
// Set Default Project Mutation
export function useSetDefaultProject() {
const queryClient = useQueryClient()
return useMutation({
mutationFn: setDefaultProject,
onSuccess: (_, project) => {
queryClient.setQueryData(queryKeys.defaultProject, project)
},
})
}
// Save Memory Mutation
export function useSaveMemory() {
return useMutation({
mutationFn: (payload: MemoryPayload) => saveMemory(payload),
})
}
// Search Memories Mutation
export function useSearchMemories() {
return useMutation({
mutationFn: (query: string) => searchMemories(query),
})
}

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@ -1,116 +0,0 @@
/**
* Route Detection Utilities
* Shared logic for detecting route changes across different AI chat platforms
*/
import { UI_CONFIG } from "./constants"
export interface RouteDetectionConfig {
platform: string
selectors: string[]
reinitCallback: () => void
checkInterval?: number
observerThrottleDelay?: number
}
export interface RouteDetectionCleanup {
observer: MutationObserver | null
urlCheckInterval: NodeJS.Timeout | null
observerThrottle: NodeJS.Timeout | null
}
export function createRouteDetection(
config: RouteDetectionConfig,
cleanup: RouteDetectionCleanup,
): void {
if (cleanup.observer) {
cleanup.observer.disconnect()
}
if (cleanup.urlCheckInterval) {
clearInterval(cleanup.urlCheckInterval)
}
if (cleanup.observerThrottle) {
clearTimeout(cleanup.observerThrottle)
cleanup.observerThrottle = null
}
let currentUrl = window.location.href
const checkForRouteChange = () => {
if (window.location.href !== currentUrl) {
currentUrl = window.location.href
setTimeout(config.reinitCallback, 1000)
}
}
cleanup.urlCheckInterval = setInterval(
checkForRouteChange,
config.checkInterval || UI_CONFIG.ROUTE_CHECK_INTERVAL,
)
cleanup.observer = new MutationObserver((mutations) => {
if (cleanup.observerThrottle) {
return
}
let shouldRecheck = false
mutations.forEach((mutation) => {
if (mutation.type === "childList" && mutation.addedNodes.length > 0) {
mutation.addedNodes.forEach((node) => {
if (node.nodeType === Node.ELEMENT_NODE) {
const element = node as Element
for (const selector of config.selectors) {
if (
element.querySelector?.(selector) ||
element.matches?.(selector)
) {
shouldRecheck = true
break
}
}
}
})
}
})
if (shouldRecheck) {
cleanup.observerThrottle = setTimeout(() => {
try {
cleanup.observerThrottle = null
config.reinitCallback()
} catch (error) {
console.error(`Error in ${config.platform} observer callback:`, error)
}
}, config.observerThrottleDelay || UI_CONFIG.OBSERVER_THROTTLE_DELAY)
}
})
try {
cleanup.observer.observe(document.body, {
childList: true,
subtree: true,
})
} catch (error) {
console.error(`Failed to set up ${config.platform} route observer:`, error)
if (cleanup.urlCheckInterval) {
clearInterval(cleanup.urlCheckInterval)
}
cleanup.urlCheckInterval = setInterval(checkForRouteChange, 1000)
}
}
export function cleanupRouteDetection(cleanup: RouteDetectionCleanup): void {
if (cleanup.observer) {
cleanup.observer.disconnect()
cleanup.observer = null
}
if (cleanup.urlCheckInterval) {
clearInterval(cleanup.urlCheckInterval)
cleanup.urlCheckInterval = null
}
if (cleanup.observerThrottle) {
clearTimeout(cleanup.observerThrottle)
cleanup.observerThrottle = null
}
}

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@ -1,19 +0,0 @@
import { describe, expect, it } from "bun:test"
import { buildSearchMemoriesBody } from "./search-request"
describe("buildSearchMemoriesBody", () => {
it("builds the default related-memory search body", () => {
expect(buildSearchMemoriesBody("deploy notes")).toEqual({
q: "deploy notes",
include: { relatedMemories: true },
})
})
it("includes the container tag when provided", () => {
expect(buildSearchMemoriesBody("deploy notes", "sm_project_docs")).toEqual({
q: "deploy notes",
include: { relatedMemories: true },
containerTag: "sm_project_docs",
})
})
})

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@ -1,14 +0,0 @@
export function buildSearchMemoriesBody(
query: string,
containerTag?: string,
): {
q: string
include: { relatedMemories: boolean }
containerTag?: string
} {
return {
q: query,
include: { relatedMemories: true },
...(containerTag ? { containerTag } : {}),
}
}

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@ -1,120 +0,0 @@
/**
* Centralized storage layer using WXT's built-in storage API
*/
import { storage } from "#imports"
import type { Project } from "./types"
/**
* User authentication and profile data
*/
export interface UserData {
userId?: string
email?: string
name?: string
}
/**
* Twitter authentication tokens for API requests
*/
export interface TwitterAuthTokens {
cookie: string
csrf: string
auth: string
}
/**
* Local Storage Items (persistent across sessions)
*/
export const bearerToken = storage.defineItem<string>("local:bearer-token")
export const userData = storage.defineItem<UserData>("local:user-data")
export const defaultProject = storage.defineItem<Project>(
"local:sm-default-project",
)
export const autoSearchEnabled = storage.defineItem<boolean>(
"local:sm-auto-search-enabled",
{
fallback: false,
},
)
export const autoCapturePromptsEnabled = storage.defineItem<boolean>(
"local:sm-auto-capture-prompts-enabled",
{
fallback: false,
},
)
/**
* Session Storage Items (cleared when browser closes)
*/
export const tokensLogged = storage.defineItem<boolean>(
"session:tokens-logged",
{
fallback: false,
},
)
export const twitterCookie = storage.defineItem<string>(
"session:twitter-cookie",
)
export const twitterCsrf = storage.defineItem<string>("session:twitter-csrf")
export const twitterAuthToken = storage.defineItem<string>(
"session:twitter-auth-token",
)
/**
* Helper function to get Twitter authentication tokens
* @returns Promise resolving to tokens or null if not available
*/
export async function getTwitterTokens(): Promise<TwitterAuthTokens | null> {
const [cookie, csrf, auth] = await Promise.all([
twitterCookie.getValue(),
twitterCsrf.getValue(),
twitterAuthToken.getValue(),
])
if (!cookie || !csrf || !auth) {
return null
}
return {
cookie,
csrf,
auth,
}
}
/**
* Helper function to set Twitter authentication tokens
* @param tokens - Twitter authentication tokens to store
*/
export async function setTwitterTokens(
tokens: TwitterAuthTokens,
): Promise<void> {
await Promise.all([
twitterCookie.setValue(tokens.cookie),
twitterCsrf.setValue(tokens.csrf),
twitterAuthToken.setValue(tokens.auth),
])
}
/**
* Helper function to check if tokens have been logged (for one-time logging)
* @returns Promise resolving to boolean indicating if tokens were previously logged
*/
export async function getTokensLogged(): Promise<boolean> {
return (await tokensLogged.getValue()) ?? false
}
/**
* Helper function to mark tokens as logged
*/
export async function setTokensLogged(): Promise<void> {
await tokensLogged.setValue(true)
}

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@ -1,87 +0,0 @@
/**
* Twitter Authentication Module
* Handles token capture and storage for Twitter API access
*/
import {
getTokensLogged,
setTokensLogged,
setTwitterTokens,
type TwitterAuthTokens,
} from "./storage"
/**
* Captures Twitter authentication tokens from web request headers
* @param details - Web request details containing headers
* @returns True if tokens were captured, false otherwise
*/
export async function captureTwitterTokens(
details: chrome.webRequest.WebRequestDetails & {
requestHeaders?: chrome.webRequest.HttpHeader[]
},
): Promise<boolean> {
if (!(details.url.includes("x.com") || details.url.includes("twitter.com"))) {
return false
}
let authHeader: chrome.webRequest.HttpHeader | undefined
let cookieHeader: chrome.webRequest.HttpHeader | undefined
let csrfHeader: chrome.webRequest.HttpHeader | undefined
if (details.requestHeaders) {
for (const header of details.requestHeaders) {
if (!header.name) continue
const name = header.name.toLowerCase()
switch (name) {
case "authorization":
authHeader = header
break
case "cookie":
cookieHeader = header
break
case "x-csrf-token":
csrfHeader = header
break
}
if (authHeader && cookieHeader && csrfHeader) break
}
}
if (authHeader?.value && cookieHeader?.value && csrfHeader?.value) {
const tokensAlreadyLogged = await getTokensLogged()
if (!tokensAlreadyLogged) {
await setTokensLogged()
}
await setTwitterTokens({
cookie: cookieHeader.value,
csrf: csrfHeader.value,
auth: authHeader.value,
})
return true
}
return false
}
/**
* Creates HTTP headers for Twitter API requests using stored tokens
* @param tokens - Twitter authentication tokens
* @returns Headers object ready for fetch requests
*/
export function createTwitterAPIHeaders(tokens: TwitterAuthTokens): Headers {
const headers = new Headers()
headers.append("Cookie", tokens.cookie)
headers.append("X-Csrf-Token", tokens.csrf)
headers.append("Authorization", tokens.auth)
headers.append("Content-Type", "application/json")
headers.append(
"User-Agent",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
)
headers.append("Accept", "*/*")
headers.append("Accept-Language", "en-US,en;q=0.9")
return headers
}

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@ -1,58 +0,0 @@
import { describe, expect, it } from "bun:test"
import { expandTweetText } from "./twitter-utils"
const link = (url: string, expanded_url: string, display_url: string) => ({
url,
expanded_url,
display_url,
indices: [0, url.length] as [number, number],
})
describe("expandTweetText", () => {
it("returns the text unchanged when there are no url entities", () => {
expect(expandTweetText("just text", undefined)).toBe("just text")
expect(expandTweetText("just text", [])).toBe("just text")
})
it("replaces a t.co shortlink with a markdown link to the expanded url", () => {
const text = "check this https://t.co/abc123 out"
const urls = [
link(
"https://t.co/abc123",
"https://example.com/article",
"example.com/article",
),
]
expect(expandTweetText(text, urls)).toBe(
"check this [example.com/article](https://example.com/article) out",
)
})
it("expands multiple shortlinks including repeats", () => {
const text = "a https://t.co/aaa b https://t.co/bbb c https://t.co/aaa"
const urls = [
link("https://t.co/aaa", "https://a.com", "a.com"),
link("https://t.co/bbb", "https://b.com", "b.com"),
]
expect(expandTweetText(text, urls)).toBe(
"a [a.com](https://a.com) b [b.com](https://b.com) c [a.com](https://a.com)",
)
})
it("falls back to the expanded url as label when display_url is empty", () => {
const text = "see https://t.co/xyz"
const urls = [link("https://t.co/xyz", "https://long.example.com/path", "")]
expect(expandTweetText(text, urls)).toBe(
"see [https://long.example.com/path](https://long.example.com/path)",
)
})
it("skips entries missing a url or expanded_url", () => {
const text = "keep https://t.co/keep here"
const urls = [
link("", "https://nope.com", "nope.com"),
link("https://t.co/keep", "", "keep.com"),
]
expect(expandTweetText(text, urls)).toBe("keep https://t.co/keep here")
})
})

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@ -1,208 +0,0 @@
/**
* Twitter Bookmarks Import Module
* Handles the import process for Twitter bookmarks
*/
import { saveAllTweets } from "./api"
import type { MemoryPayload } from "./types"
import { createTwitterAPIHeaders } from "./twitter-auth"
import { getTwitterTokens } from "./storage"
import {
BOOKMARKS_URL,
BOOKMARK_COLLECTION_URL,
buildRequestVariables,
buildBookmarkCollectionVariables,
extractNextCursor,
getAllTweets,
type TwitterAPIResponse,
} from "./twitter-utils"
export type ImportProgressCallback = (message: string) => Promise<void>
export type ImportCompleteCallback = (totalImported: number) => Promise<void>
export interface TwitterImportConfig {
isFolderImport?: boolean
bookmarkCollectionId?: string
selectedProject?: {
id: string
name: string
containerTag: string
}
onProgress: ImportProgressCallback
onComplete: ImportCompleteCallback
onError: (error: Error) => Promise<void>
}
/**
* Rate limiting configuration
*/
class RateLimiter {
private waitTime = 60000 // Start with 1 minute
async handleRateLimit(onProgress: ImportProgressCallback): Promise<void> {
const waitTimeInSeconds = this.waitTime / 1000
await onProgress(
`Rate limit reached. Waiting for ${waitTimeInSeconds} seconds before retrying...`,
)
await new Promise((resolve) => setTimeout(resolve, this.waitTime))
this.waitTime *= 2 // Exponential backoff
}
reset(): void {
this.waitTime = 60000
}
}
/**
* Main class for handling Twitter bookmarks import
*/
export class TwitterImporter {
private importInProgress = false
private rateLimiter = new RateLimiter()
constructor(private config: TwitterImportConfig) {}
/**
* Starts the import process for all Twitter bookmarks
* @returns Promise that resolves when import is complete
*/
async startImport(): Promise<void> {
if (this.importInProgress) {
throw new Error("Import already in progress")
}
this.importInProgress = true
const uniqueGroupId = crypto.randomUUID()
try {
await this.batchImportAll("", 0, uniqueGroupId)
this.rateLimiter.reset()
} catch (error) {
await this.config.onError(error as Error)
} finally {
this.importInProgress = false
}
}
/**
* Recursive function to import all bookmarks with pagination
* @param cursor - Pagination cursor for Twitter API
* @param totalImported - Number of tweets imported so far
*/
private async batchImportAll(
cursor = "",
totalImported = 0,
uniqueGroupId = "twitter_bookmarks",
): Promise<void> {
try {
// Use a local variable to track imported count
let importedCount = totalImported
// Get authentication tokens
const tokens = await getTwitterTokens()
if (!tokens) {
await this.config.onProgress(
"Please visit Twitter/X first to capture authentication tokens",
)
return
}
// Create headers for API request
const headers = createTwitterAPIHeaders(tokens)
// Build API request with pagination
const collectionId = this.config.isFolderImport
? this.config.bookmarkCollectionId
: undefined
const variables = collectionId
? buildBookmarkCollectionVariables(collectionId, cursor)
: buildRequestVariables(cursor)
const baseUrl = collectionId ? BOOKMARK_COLLECTION_URL : BOOKMARKS_URL
const urlWithCursor = `${baseUrl}&variables=${encodeURIComponent(JSON.stringify(variables))}`
const response = await fetch(urlWithCursor, {
method: "GET",
headers,
redirect: "follow",
})
if (!response.ok) {
const errorText = await response.text()
console.error(`Twitter API Error ${response.status}:`, errorText)
if (response.status === 429) {
await this.rateLimiter.handleRateLimit(this.config.onProgress)
return this.batchImportAll(cursor, totalImported, uniqueGroupId)
}
throw new Error(
`Failed to fetch data: ${response.status} - ${errorText}`,
)
}
const data: TwitterAPIResponse = await response.json()
const tweets = getAllTweets(data)
const documents: MemoryPayload[] = []
// Convert tweets to MemoryPayload
for (const tweet of tweets) {
try {
const metadata = {
sm_source: "consumer",
tweet_id: tweet.id_str,
author: tweet.user.screen_name,
created_at: tweet.created_at,
likes: tweet.favorite_count,
retweets: tweet.retweet_count || 0,
sm_internal_group_id: uniqueGroupId,
}
const containerTag =
this.config.selectedProject?.containerTag ||
"sm_project_twitter_bookmarks"
documents.push({
containerTags: [containerTag],
content: `https://x.com/${tweet.user.screen_name}/status/${tweet.id_str}`,
metadata,
customId: tweet.id_str,
})
importedCount++
await this.config.onProgress(
`Imported ${importedCount} tweets, so far...`,
)
} catch (error) {
console.error("Error importing tweet:", error)
}
}
try {
if (documents.length > 0) {
await saveAllTweets(documents)
}
} catch (error) {
console.error("Error saving tweets batch:", error)
await this.config.onError(error as Error)
return
}
// Handle pagination
const instructions =
data.data?.bookmark_timeline_v2?.timeline?.instructions ||
data.data?.bookmark_collection_timeline?.timeline?.instructions ||
[]
const nextCursor = extractNextCursor(instructions)
if (nextCursor && tweets.length > 0) {
await new Promise((resolve) => setTimeout(resolve, 1000)) // Rate limiting
await this.batchImportAll(nextCursor, importedCount, uniqueGroupId)
} else {
await this.config.onComplete(importedCount)
}
} catch (error) {
console.error("Batch import error:", error)
await this.config.onError(error as Error)
}
}
}

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@ -1,504 +0,0 @@
// Twitter API data structures and transformation utilities
interface TwitterAPITweet {
__typename?: string
legacy: {
lang?: string
favorite_count: number
created_at: string
display_text_range?: [number, number]
entities?: {
hashtags?: Array<{ indices: [number, number]; text: string }>
urls?: Array<{
display_url: string
expanded_url: string
indices: [number, number]
url: string
}>
user_mentions?: Array<{
id_str: string
indices: [number, number]
name: string
screen_name: string
}>
symbols?: Array<{ indices: [number, number]; text: string }>
media?: MediaEntity[]
}
id_str: string
full_text: string
reply_count?: number
retweet_count?: number
quote_count?: number
}
core?: {
user_results?: {
result?: {
legacy?: {
id_str: string
name: string
profile_image_url_https: string
screen_name: string
verified: boolean
}
is_blue_verified?: boolean
}
}
}
}
interface MediaEntity {
type: string
media_url_https: string
sizes?: {
large?: {
w: number
h: number
}
}
video_info?: {
variants?: VideoVariant[]
duration_millis?: number
}
}
export interface VideoVariant {
url: string
bitrate?: number
content_type?: string
}
/**
* Twitter returns several video variants for a single video: an HLS `.m3u8`
* playlist (no bitrate) plus multiple `video/mp4` renditions at different
* bitrates, in no guaranteed order. Taking `variants[0]` therefore often stored
* the HLS playlist URL (not a directly usable file) or the lowest-quality clip.
* Pick the highest-bitrate MP4 instead, falling back to the first variant when
* no MP4 rendition is present.
*/
export function pickBestVideoVariantUrl(
variants: VideoVariant[] | undefined,
): string {
if (!variants || variants.length === 0) return ""
const mp4s = variants.filter(
(v) => v.content_type === "video/mp4" || /\.mp4(?:\?|$)/i.test(v.url),
)
const pool = mp4s.length > 0 ? mp4s : variants
let best = pool[0]
for (const variant of pool) {
if ((variant.bitrate ?? 0) > (best?.bitrate ?? 0)) {
best = variant
}
}
return best?.url || ""
}
export interface Tweet {
__typename?: string
lang?: string
favorite_count: number
created_at: string
display_text_range?: [number, number]
entities: {
hashtags: Array<{
indices: [number, number]
text: string
}>
urls?: Array<{
display_url: string
expanded_url: string
indices: [number, number]
url: string
}>
user_mentions: Array<{
id_str: string
indices: [number, number]
name: string
screen_name: string
}>
symbols: Array<{
indices: [number, number]
text: string
}>
}
id_str: string
text: string
user: {
id_str: string
name: string
profile_image_url_https: string
screen_name: string
verified: boolean
is_blue_verified?: boolean
}
conversation_count: number
photos?: Array<{
url: string
width: number
height: number
}>
videos?: Array<{
url: string
thumbnail_url: string
duration: number
}>
retweet_count?: number
quote_count?: number
reply_count?: number
}
export interface TwitterAPIResponse {
data: {
bookmark_timeline_v2?: {
timeline: {
instructions: Array<{
type: string
entries?: Array<{
entryId: string
sortIndex: string
content: Record<string, unknown>
}>
}>
}
}
bookmark_collection_timeline?: {
timeline: {
instructions: Array<{
type: string
entries?: Array<{
entryId: string
sortIndex: string
content: Record<string, unknown>
}>
}>
}
}
}
}
// Twitter API features configuration
export const TWITTER_API_FEATURES = {
graphql_timeline_v2_bookmark_timeline: true,
responsive_web_graphql_exclude_directive_enabled: true,
responsive_web_graphql_skip_user_profile_image_extensions_enabled: false,
responsive_web_graphql_timeline_navigation_enabled: true,
responsive_web_enhance_cards_enabled: false,
rweb_tipjar_consumption_enabled: true,
responsive_web_twitter_article_notes_tab_enabled: true,
creator_subscriptions_tweet_preview_api_enabled: true,
freedom_of_speech_not_reach_fetch_enabled: true,
standardized_nudges_misinfo: true,
tweet_with_visibility_results_prefer_gql_limited_actions_policy_enabled: true,
longform_notetweets_rich_text_read_enabled: true,
longform_notetweets_inline_media_enabled: true,
responsive_web_media_download_video_enabled: false,
responsive_web_text_conversations_enabled: false,
// Missing features that the API is complaining about
creator_subscriptions_quote_tweet_preview_enabled: true,
view_counts_everywhere_api_enabled: true,
c9s_tweet_anatomy_moderator_badge_enabled: true,
graphql_is_translatable_rweb_tweet_is_translatable_enabled: true,
tweetypie_unmention_optimization_enabled: true,
responsive_web_twitter_article_tweet_consumption_enabled: true,
tweet_awards_web_tipping_enabled: true,
communities_web_enable_tweet_community_results_fetch: true,
responsive_web_edit_tweet_api_enabled: true,
longform_notetweets_consumption_enabled: true,
articles_preview_enabled: true,
rweb_video_timestamps_enabled: true,
verified_phone_label_enabled: true,
}
// Twitter API features configuration for BookmarkFolderTimeline
export const TWITTER_BOOKMARK_FOLDER_FEATURES = {
rweb_video_screen_enabled: false,
payments_enabled: false,
profile_label_improvements_pcf_label_in_post_enabled: true,
responsive_web_profile_redirect_enabled: false,
rweb_tipjar_consumption_enabled: true,
verified_phone_label_enabled: false,
creator_subscriptions_tweet_preview_api_enabled: true,
responsive_web_graphql_timeline_navigation_enabled: true,
responsive_web_graphql_skip_user_profile_image_extensions_enabled: false,
premium_content_api_read_enabled: false,
communities_web_enable_tweet_community_results_fetch: true,
c9s_tweet_anatomy_moderator_badge_enabled: true,
responsive_web_grok_analyze_button_fetch_trends_enabled: false,
responsive_web_grok_analyze_post_followups_enabled: true,
responsive_web_jetfuel_frame: true,
responsive_web_grok_share_attachment_enabled: true,
articles_preview_enabled: true,
responsive_web_edit_tweet_api_enabled: true,
graphql_is_translatable_rweb_tweet_is_translatable_enabled: true,
view_counts_everywhere_api_enabled: true,
longform_notetweets_consumption_enabled: true,
responsive_web_twitter_article_tweet_consumption_enabled: true,
tweet_awards_web_tipping_enabled: false,
responsive_web_grok_show_grok_translated_post: true,
responsive_web_grok_analysis_button_from_backend: true,
creator_subscriptions_quote_tweet_preview_enabled: false,
freedom_of_speech_not_reach_fetch_enabled: true,
standardized_nudges_misinfo: true,
tweet_with_visibility_results_prefer_gql_limited_actions_policy_enabled: true,
longform_notetweets_rich_text_read_enabled: true,
longform_notetweets_inline_media_enabled: true,
responsive_web_grok_image_annotation_enabled: true,
responsive_web_grok_imagine_annotation_enabled: true,
responsive_web_grok_community_note_auto_translation_is_enabled: false,
responsive_web_enhance_cards_enabled: false,
}
export const BOOKMARKS_URL = `https://x.com/i/api/graphql/xLjCVTqYWz8CGSprLU349w/Bookmarks?features=${encodeURIComponent(JSON.stringify(TWITTER_API_FEATURES))}`
export const BOOKMARK_COLLECTION_URL = `https://x.com/i/api/graphql/I8Y9ni1dqP-ZSpwxqJQ--Q/BookmarkFolderTimeline?features=${encodeURIComponent(JSON.stringify(TWITTER_BOOKMARK_FOLDER_FEATURES))}`
/**
* Transform raw Twitter API response data into standardized Tweet format
*/
export function transformTweetData(
input: Record<string, unknown>,
): Tweet | null {
try {
const content = input.content as {
itemContent?: { tweet_results?: { result?: unknown } }
}
const tweetData = content?.itemContent?.tweet_results?.result
if (!tweetData) {
return null
}
const tweet = tweetData as TwitterAPITweet
if (!tweet.legacy) {
return null
}
// Handle media entities
const media = (tweet.legacy.entities?.media as MediaEntity[]) || []
const photos = media
.filter((m) => m.type === "photo")
.map((m) => ({
url: m.media_url_https,
width: m.sizes?.large?.w || 0,
height: m.sizes?.large?.h || 0,
}))
const videos = media
.filter((m) => m.type === "video")
.map((m) => ({
url: pickBestVideoVariantUrl(m.video_info?.variants),
thumbnail_url: m.media_url_https,
duration: m.video_info?.duration_millis || 0,
}))
const transformed: Tweet = {
__typename: tweet.__typename,
lang: tweet.legacy?.lang,
favorite_count: tweet.legacy.favorite_count || 0,
created_at: new Date(tweet.legacy.created_at).toISOString(),
display_text_range: tweet.legacy.display_text_range,
entities: {
hashtags: tweet.legacy.entities?.hashtags || [],
urls: tweet.legacy.entities?.urls || [],
user_mentions: tweet.legacy.entities?.user_mentions || [],
symbols: tweet.legacy.entities?.symbols || [],
},
id_str: tweet.legacy.id_str,
text: tweet.legacy.full_text,
user: {
id_str: tweet.core?.user_results?.result?.legacy?.id_str || "",
name: tweet.core?.user_results?.result?.legacy?.name || "Unknown",
profile_image_url_https:
tweet.core?.user_results?.result?.legacy?.profile_image_url_https ||
"",
screen_name:
tweet.core?.user_results?.result?.legacy?.screen_name || "unknown",
verified: tweet.core?.user_results?.result?.legacy?.verified || false,
is_blue_verified:
tweet.core?.user_results?.result?.is_blue_verified || false,
},
conversation_count: tweet.legacy.reply_count || 0,
retweet_count: tweet.legacy.retweet_count || 0,
quote_count: tweet.legacy.quote_count || 0,
reply_count: tweet.legacy.reply_count || 0,
}
if (photos.length > 0) {
transformed.photos = photos
}
if (videos.length > 0) {
transformed.videos = videos
}
return transformed
} catch (error) {
console.error("Error transforming tweet data:", error)
return null
}
}
/**
* Extract all tweets from Twitter API response
*/
export function getAllTweets(data: TwitterAPIResponse): Tweet[] {
const tweets: Tweet[] = []
try {
const instructions =
data.data?.bookmark_timeline_v2?.timeline?.instructions ||
data.data?.bookmark_collection_timeline?.timeline?.instructions ||
[]
for (const instruction of instructions) {
if (instruction.type === "TimelineAddEntries" && instruction.entries) {
for (const entry of instruction.entries) {
if (entry.entryId.startsWith("tweet-")) {
const tweet = transformTweetData(entry)
if (tweet) {
tweets.push(tweet)
}
}
}
}
}
} catch (error) {
console.error("Error extracting tweets:", error)
}
return tweets
}
/**
* Extract pagination cursor from Twitter API response
*/
export function extractNextCursor(
instructions: Array<Record<string, unknown>>,
): string | null {
try {
for (const instruction of instructions) {
if (instruction.type === "TimelineAddEntries" && instruction.entries) {
const entries = instruction.entries as Array<{
entryId: string
content?: { value?: string }
}>
for (const entry of entries) {
if (entry.entryId.startsWith("cursor-bottom-")) {
return entry.content?.value || null
}
}
}
}
} catch (error) {
console.error("Error extracting cursor:", error)
}
return null
}
/**
* Tweet `full_text` embeds links as opaque `t.co` shortlinks, while
* `entities.urls` carries the real destination. Replace each shortlink with a
* markdown link to its expanded URL (labelled with the human-readable
* display_url) so imported tweets keep working, searchable links instead of
* `https://t.co/xxxx`.
*/
export function expandTweetText(
text: string,
urls: Tweet["entities"]["urls"],
): string {
if (!urls || urls.length === 0) return text
let expanded = text
for (const link of urls) {
if (!link?.url || !link.expanded_url) continue
const label = link.display_url || link.expanded_url
expanded = expanded.split(link.url).join(`[${label}](${link.expanded_url})`)
}
return expanded
}
/**
* Convert Tweet object to markdown format for storage
*/
export function tweetToMarkdown(tweet: Tweet): string {
const username = tweet.user?.screen_name || "unknown"
const displayName = tweet.user?.name || "Unknown User"
const date = new Date(tweet.created_at).toLocaleDateString()
const time = new Date(tweet.created_at).toLocaleTimeString()
let markdown = `# Tweet by @${username} (${displayName})\n\n`
markdown += `**Date:** ${date} ${time}\n`
markdown += `**Likes:** ${tweet.favorite_count} | **Retweets:** ${tweet.retweet_count || 0} | **Replies:** ${tweet.reply_count || 0}\n\n`
// Add tweet text with t.co shortlinks expanded to their real destinations
markdown += `${expandTweetText(tweet.text, tweet.entities.urls)}\n\n`
// Add media if present
if (tweet.photos && tweet.photos.length > 0) {
markdown += "**Images:**\n"
tweet.photos.forEach((photo, index) => {
markdown += `![Image ${index + 1}](${photo.url})\n`
})
markdown += "\n"
}
if (tweet.videos && tweet.videos.length > 0) {
markdown += "**Videos:**\n"
tweet.videos.forEach((video, index) => {
markdown += `[Video ${index + 1}](${video.url})\n`
})
markdown += "\n"
}
// Add hashtags and mentions
if (tweet.entities.hashtags.length > 0) {
markdown += `**Hashtags:** ${tweet.entities.hashtags.map((h) => `#${h.text}`).join(", ")}\n`
}
if (tweet.entities.user_mentions.length > 0) {
markdown += `**Mentions:** ${tweet.entities.user_mentions.map((m) => `@${m.screen_name}`).join(", ")}\n`
}
// Add raw data for reference
markdown += `\n---\n<details>\n<summary>Raw Tweet Data</summary>\n\n\`\`\`json\n${JSON.stringify(tweet, null, 2)}\n\`\`\`\n</details>`
return markdown
}
/**
* Build Twitter API request variables for pagination
*/
export function buildRequestVariables(cursor?: string, count = 100) {
const variables = {
count,
includePromotedContent: false,
}
if (cursor) {
;(variables as Record<string, unknown>).cursor = cursor
}
return variables
}
/**
* Build Twitter API request variables for bookmark collection
*/
export function buildBookmarkCollectionVariables(
bookmarkCollectionId: string,
cursor?: string,
) {
const variables: Record<string, unknown> = {
bookmark_collection_id: bookmarkCollectionId,
includePromotedContent: true,
}
if (cursor) {
variables.cursor = cursor
}
return variables
}

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@ -1,75 +0,0 @@
import { describe, expect, it } from "bun:test"
import { pickBestVideoVariantUrl } from "./twitter-utils"
describe("pickBestVideoVariantUrl", () => {
it("returns an empty string when there are no variants", () => {
expect(pickBestVideoVariantUrl(undefined)).toBe("")
expect(pickBestVideoVariantUrl([])).toBe("")
})
it("picks the highest-bitrate mp4, not the first variant", () => {
const variants = [
{
url: "https://video.twimg.com/playlist.m3u8",
content_type: "application/x-mpegURL",
},
{
url: "https://video.twimg.com/low.mp4",
content_type: "video/mp4",
bitrate: 256000,
},
{
url: "https://video.twimg.com/high.mp4",
content_type: "video/mp4",
bitrate: 2176000,
},
{
url: "https://video.twimg.com/mid.mp4",
content_type: "video/mp4",
bitrate: 832000,
},
]
expect(pickBestVideoVariantUrl(variants)).toBe(
"https://video.twimg.com/high.mp4",
)
})
it("does not return the HLS playlist when mp4 renditions exist", () => {
const variants = [
{
url: "https://video.twimg.com/playlist.m3u8",
content_type: "application/x-mpegURL",
},
{
url: "https://video.twimg.com/only.mp4",
content_type: "video/mp4",
bitrate: 632000,
},
]
expect(pickBestVideoVariantUrl(variants)).toBe(
"https://video.twimg.com/only.mp4",
)
})
it("falls back to the first variant when no mp4 is present", () => {
const variants = [
{
url: "https://video.twimg.com/playlist.m3u8",
content_type: "application/x-mpegURL",
},
]
expect(pickBestVideoVariantUrl(variants)).toBe(
"https://video.twimg.com/playlist.m3u8",
)
})
it("detects mp4 by extension when content_type is absent", () => {
const variants = [
{ url: "https://video.twimg.com/240/vid.mp4?tag=12" },
{ url: "https://video.twimg.com/720/vid.mp4?tag=12", bitrate: 2176000 },
]
expect(pickBestVideoVariantUrl(variants)).toBe(
"https://video.twimg.com/720/vid.mp4?tag=12",
)
})
})

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@ -1,165 +0,0 @@
/**
* Type definitions for the browser extension
*/
/**
* Toast states for UI feedback
*/
export type ToastState = "loading" | "success" | "error"
/**
* Message types for extension communication
*/
export interface ExtensionMessage {
isFolderImport?: boolean
bookmarkCollectionId?: string
action?: string
type?: string
data?: unknown
state?: ToastState
importedMessage?: string
totalImported?: number
actionSource?: string
selectedProject?: {
id: string
name: string
containerTag: string
}
}
/**
* Memory data structure for saving content
*/
export interface MemoryData {
html?: string
markdown?: string
content?: string
highlightedText?: string
url?: string
ogImage?: string
title?: string
sourcePlatform?: string
sourcePlatformLabel?: string
sourceSurface?: string
}
/**
* Supermemory API payload for storing memories
*/
export interface MemoryPayload {
containerTags?: string[]
content: string
metadata: {
sm_source: string
[key: string]: unknown
}
customId?: string
}
/**
* Twitter-specific memory metadata
*/
export interface TwitterMemoryMetadata {
sm_source: "twitter_bookmarks"
tweet_id: string
author: string
created_at: string
likes: number
retweets: number
}
/**
* Storage data structure for Chrome storage
*/
export interface StorageData {
bearerToken?: string
twitterAuth?: {
cookie: string
csrf: string
auth: string
}
tokens_logged?: boolean
cookie?: string
csrf?: string
auth?: string
defaultProject?: Project
projectsCache?: {
projects: Project[]
timestamp: number
}
}
/**
* Context menu click info
*/
export interface ContextMenuClickInfo {
menuItemId: string | number
editable?: boolean
frameId?: number
frameUrl?: string
linkUrl?: string
mediaType?: string
pageUrl?: string
parentMenuItemId?: string | number
selectionText?: string
srcUrl?: string
targetElementId?: number
wasChecked?: boolean
}
/**
* API Response types
*/
export interface APIResponse<T = unknown> {
success: boolean
data?: T
error?: string
}
/**
* Error types for better error handling
*/
export class ExtensionError extends Error {
constructor(
message: string,
public code?: string,
public statusCode?: number,
) {
super(message)
this.name = "ExtensionError"
}
}
export class TwitterAPIError extends ExtensionError {
constructor(message: string, statusCode?: number) {
super(message, "TWITTER_API_ERROR", statusCode)
this.name = "TwitterAPIError"
}
}
export class SupermemoryAPIError extends ExtensionError {
constructor(message: string, statusCode?: number) {
super(message, "SUPERMEMORY_API_ERROR", statusCode)
this.name = "SupermemoryAPIError"
}
}
export class AuthenticationError extends ExtensionError {
constructor(message = "Authentication required") {
super(message, "AUTH_ERROR")
this.name = "AuthenticationError"
}
}
export interface Project {
id: string
name: string
containerTag: string
createdAt: string
updatedAt: string
documentCount: number
}
export interface ProjectsResponse {
projects: Project[]
}

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@ -1,791 +0,0 @@
/**
* UI Components Module
* Reusable UI components for the browser extension
*/
import { ELEMENT_IDS, UI_CONFIG } from "./constants"
import type { ToastState } from "./types"
/**
* Creates a toast notification element
* @param state - The state of the toast (loading, success, error)
* @returns HTMLElement - The toast element
*/
export function createToast(state: ToastState): HTMLElement {
const toast = document.createElement("div")
toast.id = ELEMENT_IDS.SUPERMEMORY_TOAST
toast.style.cssText = `
position: fixed;
top: 20px;
right: 20px;
z-index: 2147483647;
background: #ffffff;
border-radius: 9999px;
padding: 12px 16px;
display: flex;
align-items: center;
gap: 12px;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 14px;
color: #374151;
min-width: 200px;
max-width: 300px;
animation: slideIn 0.3s ease-out;
box-shadow: 0 4px 24px 0 rgba(0,0,0,0.18), 0 1.5px 6px 0 rgba(0,0,0,0.12);
`
// Add keyframe animations and fonts if not already present
if (!document.getElementById("supermemory-toast-styles")) {
const style = document.createElement("style")
style.id = "supermemory-toast-styles"
style.textContent = `
@font-face {
font-family: 'Space Grotesk';
font-style: normal;
font-weight: 300;
font-display: swap;
src: url('${chrome.runtime.getURL("fonts/SpaceGrotesk-Light.ttf")}') format('truetype');
}
@font-face {
font-family: 'Space Grotesk';
font-style: normal;
font-weight: 400;
font-display: swap;
src: url('${chrome.runtime.getURL("fonts/SpaceGrotesk-Regular.ttf")}') format('truetype');
}
@font-face {
font-family: 'Space Grotesk';
font-style: normal;
font-weight: 500;
font-display: swap;
src: url('${chrome.runtime.getURL("fonts/SpaceGrotesk-Medium.ttf")}') format('truetype');
}
@font-face {
font-family: 'Space Grotesk';
font-style: normal;
font-weight: 600;
font-display: swap;
src: url('${chrome.runtime.getURL("fonts/SpaceGrotesk-SemiBold.ttf")}') format('truetype');
}
@font-face {
font-family: 'Space Grotesk';
font-style: normal;
font-weight: 700;
font-display: swap;
src: url('${chrome.runtime.getURL("fonts/SpaceGrotesk-Bold.ttf")}') format('truetype');
}
@keyframes slideIn {
from { transform: translateX(100%); opacity: 0; }
to { transform: translateX(0); opacity: 1; }
}
@keyframes fadeOut {
from { transform: translateX(0); opacity: 1; }
to { transform: translateX(100%); opacity: 0; }
}
@keyframes spin {
from { transform: rotate(0deg); }
to { transform: rotate(360deg); }
}
`
document.head.appendChild(style)
}
const icon = document.createElement("div")
icon.style.cssText = "width: 20px; height: 20px; flex-shrink: 0;"
let textElement: HTMLElement = document.createElement("span")
textElement.style.fontWeight = "500"
// Configure toast based on state
switch (state) {
case "loading":
icon.innerHTML = `
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M12 6V2" stroke="#6366f1" stroke-width="2" stroke-linecap="round"/>
<path d="M12 22V18" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.3"/>
<path d="M20.49 8.51L18.36 6.38" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.7"/>
<path d="M5.64 17.64L3.51 15.51" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.5"/>
<path d="M22 12H18" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.8"/>
<path d="M6 12H2" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.4"/>
<path d="M20.49 15.49L18.36 17.62" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.9"/>
<path d="M5.64 6.36L3.51 8.49" stroke="#6366f1" stroke-width="2" stroke-linecap="round" opacity="0.6"/>
</svg>
`
icon.style.animation = "spin 1s linear infinite"
textElement.textContent = "Adding to Memory..."
break
case "success": {
const iconUrl = browser.runtime.getURL("/new_logo.png")
icon.innerHTML = `<img src="${iconUrl}" width="20" height="20" alt="Success" style="border-radius: 2px;" />`
textElement.textContent = "Added to Memory"
break
}
case "error": {
icon.innerHTML = `
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
<circle cx="12" cy="12" r="10" fill="#ef4444"/>
<path d="M15 9L9 15" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M9 9L15 15" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
</svg>
`
const textContainer = document.createElement("div")
textContainer.style.cssText =
"display: flex; flex-direction: column; gap: 2px;"
const mainText = document.createElement("span")
mainText.style.cssText = "font-weight: 500; line-height: 1.2;"
mainText.textContent = "Failed to save memory"
const helperText = document.createElement("span")
helperText.style.cssText =
"font-size: 12px; color: #6b7280; font-weight: 400; line-height: 1.2;"
helperText.textContent = "Make sure you are logged in"
textContainer.appendChild(mainText)
textContainer.appendChild(helperText)
textElement = textContainer
break
}
}
toast.appendChild(icon)
toast.appendChild(textElement)
return toast
}
/**
* Creates the Twitter import button
* @param onClick - Click handler for the button
* @returns HTMLElement - The button element
*/
export function createTwitterImportButton(onClick: () => void): HTMLElement {
const button = document.createElement("div")
button.id = ELEMENT_IDS.TWITTER_IMPORT_BUTTON
button.style.cssText = `
position: fixed;
top: 10px;
right: 10px;
z-index: 2147483646;
background: #ffffff;
color: black;
border: none;
border-radius: 50px;
padding: 10px 16px 10px 32px;
cursor: pointer;
display: flex;
align-items: center;
gap: 8px;
transition: all 0.2s ease;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
`
const iconUrl = browser.runtime.getURL("/new_logo.png")
button.style.backgroundImage = `url("${iconUrl}")`
button.style.backgroundRepeat = "no-repeat"
button.style.backgroundSize = "20px 20px"
button.style.backgroundPosition = "8px center"
const textSpan = document.createElement("span")
textSpan.id = "sm-import-text"
textSpan.style.cssText = "font-weight: 500; font-size: 12px;"
textSpan.textContent = "Import Bookmarks"
button.appendChild(textSpan)
button.addEventListener("mouseenter", () => {
button.style.opacity = "0.8"
button.style.boxShadow = "0 4px 12px rgba(29, 155, 240, 0.4)"
})
button.addEventListener("mouseleave", () => {
button.style.opacity = "1"
button.style.boxShadow = "0 2px 8px rgba(29, 155, 240, 0.3)"
})
button.addEventListener("click", onClick)
return button
}
/**
* Creates a save tweet element button for Twitter/X
* @param onClick - Click handler for the button
* @returns HTMLElement - The save button element
*/
export function createSaveTweetElement(onClick: () => void): HTMLElement {
const iconButton = document.createElement("div")
iconButton.style.cssText = `
display: inline-flex;
align-items: flex-end;
justify-content: center;
width: 20px;
height: 20px;
border-radius: 50%;
cursor: pointer;
margin-right: 10px;
margin-bottom: 2px;
z-index: 1000;
`
const iconFileName = "/new_logo.png"
const iconUrl = browser.runtime.getURL(iconFileName)
iconButton.innerHTML = `
<img src="${iconUrl}" width="20" height="20" alt="Save to Memory" style="border-radius: 4px;" />
`
iconButton.addEventListener("mouseenter", () => {
iconButton.style.opacity = "1"
})
iconButton.addEventListener("mouseleave", () => {
iconButton.style.opacity = "0.7"
})
iconButton.addEventListener("click", (event) => {
event.stopPropagation()
event.preventDefault()
onClick()
})
return iconButton
}
/**
* Creates a save element button for ChatGPT input bar
* @param onClick - Click handler for the button
* @returns HTMLElement - The save button element
*/
export function createChatGPTInputBarElement(onClick: () => void): HTMLElement {
return createConnectedIndicator(onClick)
}
export function createConnectedIndicator(onClick: () => void): HTMLElement {
const iconButton = document.createElement("button")
iconButton.type = "button"
iconButton.setAttribute("aria-label", "supermemory connected")
iconButton.dataset.supermemoryConnectedIndicator = "true"
iconButton.style.cssText = `
display: inline-flex;
align-items: center;
justify-content: center;
width: 32px;
height: 32px;
min-width: 32px;
cursor: pointer;
transition: opacity 0.2s ease, background-color 0.2s ease, transform 0.2s ease;
border-radius: 50%;
border: none;
background: transparent;
padding: 0;
position: relative;
flex-shrink: 0;
`
const iconFileName = "/new_logo.png"
const iconUrl = browser.runtime.getURL(iconFileName)
iconButton.innerHTML = `
<img src="${iconUrl}" width="20" height="20" alt="" style="border-radius: 5px; display: block;" />
`
const tooltip = document.createElement("div")
tooltip.textContent = "supermemory connected"
tooltip.style.cssText = `
position: absolute;
bottom: calc(100% + 8px);
left: 50%;
transform: translateX(-50%) translateY(2px);
background: #0A0E14;
color: #FAFAFA;
border: 1px solid rgba(255, 255, 255, 0.12);
border-radius: 8px;
padding: 6px 8px;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
font-size: 12px;
font-weight: 500;
line-height: 1;
white-space: nowrap;
pointer-events: none;
opacity: 0;
transition: opacity 0.16s ease, transform 0.16s ease;
box-shadow: 0 8px 24px rgba(0, 0, 0, 0.28);
z-index: 2147483647;
`
iconButton.appendChild(tooltip)
iconButton.addEventListener("mouseenter", () => {
iconButton.style.backgroundColor = "rgba(255, 255, 255, 0.08)"
tooltip.style.opacity = "1"
tooltip.style.transform = "translateX(-50%) translateY(0)"
})
iconButton.addEventListener("mouseleave", () => {
iconButton.style.backgroundColor = "transparent"
tooltip.style.opacity = "0"
tooltip.style.transform = "translateX(-50%) translateY(2px)"
})
iconButton.addEventListener("click", (event) => {
event.stopPropagation()
event.preventDefault()
onClick()
})
return iconButton
}
/**
* Creates a save element button for Claude input bar
* @param onClick - Click handler for the button
* @returns HTMLElement - The save button element
*/
export function createClaudeInputBarElement(onClick: () => void): HTMLElement {
return createConnectedIndicator(onClick)
}
export function createGeminiInputBarElement(onClick: () => void): HTMLElement {
return createConnectedIndicator(onClick)
}
/**
* Creates a save element button for T3.chat input bar
* @param onClick - Click handler for the button
* @returns HTMLElement - The save button element
*/
export function createT3InputBarElement(onClick: () => void): HTMLElement {
const iconButton = document.createElement("div")
iconButton.style.cssText = `
display: inline-flex;
align-items: center;
justify-content: center;
width: auto;
height: 32px;
cursor: pointer;
transition: all 0.2s ease;
border-radius: 6px;
background: transparent;
`
const iconFileName = "/new_logo.png"
const iconUrl = browser.runtime.getURL(iconFileName)
iconButton.innerHTML = `
<img src="${iconUrl}" width="20" height="20" alt="Get Related Memories from supermemory" style="border-radius: 4px;" />
`
iconButton.addEventListener("mouseenter", () => {
iconButton.style.backgroundColor = "rgba(0, 0, 0, 0.05)"
iconButton.style.borderColor = "rgba(0, 0, 0, 0.2)"
})
iconButton.addEventListener("mouseleave", () => {
iconButton.style.backgroundColor = "transparent"
iconButton.style.borderColor = "rgba(0, 0, 0, 0.1)"
})
iconButton.addEventListener("click", (event) => {
event.stopPropagation()
event.preventDefault()
onClick()
})
return iconButton
}
/**
* Creates a project selection modal for Twitter folder imports
* @param projects - Array of available projects
* @param onImport - Callback when import is clicked with selected project
* @param onClose - Callback when modal is closed
* @returns HTMLElement - The modal element
*/
export function createProjectSelectionModal(
projects: Array<{ id: string; name: string; containerTag: string }>,
onImport: (project: {
id: string
name: string
containerTag: string
}) => void,
onClose: () => void,
): HTMLElement {
const modal = document.createElement("div")
modal.id = "sm-project-selection-modal"
modal.style.cssText = `
position: fixed;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: rgba(0, 0, 0, 0.5);
display: flex;
align-items: center;
justify-content: center;
z-index: 2147483648;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
`
const dialog = document.createElement("div")
dialog.style.cssText = `
background: #05070A;
border-radius: 12px;
padding: 24px;
max-width: 400px;
width: 90%;
box-shadow: 0 8px 32px rgba(5, 7, 10, 0.2);
position: relative;
`
const header = document.createElement("div")
header.style.cssText = `
margin-bottom: 20px;
`
const iconUrl = browser.runtime.getURL("/new_logo.png")
header.innerHTML = `
<div style="display: flex; flex-direction: column; gap: 8px;">
<h3 style="margin: 0; font-size: 16px; font-weight: 600; color: #ffffff; display: flex; align-items: center; gap: 8px;">
<img src="${iconUrl}" width="20" height="20" alt="Supermemory" style="border-radius: 4px;" />
Import to Supermemory
</h3>
<p style="margin: 0; font-size: 14px; font-weight: 400; color: #ffffff; opacity: 0.7;">
The project you want to import your bookmarks to.
</p>
</div>
`
const form = document.createElement("div")
form.style.cssText = `
display: flex;
flex-direction: column;
gap: 16px;
`
const selectContainer = document.createElement("div")
selectContainer.style.cssText = `
display: flex;
flex-direction: column;
gap: 8px;
`
const label = document.createElement("label")
label.style.cssText = `
font-size: 14px;
font-weight: 500;
color: #ffffff;
`
label.textContent = "Select Project to import"
const select = document.createElement("select")
select.id = "project-select"
select.style.cssText = `
padding: 12px 40px 12px 16px;
border: none;
border-radius: 12px;
font-size: 14px;
background: rgba(91, 126, 245, 0.04);
box-shadow: -1px -1px 1px 0 rgba(82, 89, 102, 0.08) inset, 2px 2px 1px 0 rgba(0, 0, 0, 0.50) inset;
color: #ffffff;
cursor: pointer;
transition: border-color 0.2s ease;
appearance: none;
background-image: url("data:image/svg+xml;charset=UTF-8,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='%23ffffff' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3e%3cpolyline points='6,9 12,15 18,9'%3e%3c/polyline%3e%3c/svg%3e");
background-repeat: no-repeat;
background-position: right 16px center;
background-size: 16px;
font-family: 'Space Grotesk', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
`
select.addEventListener("focus", () => {
select.style.borderColor = "#1A88FF"
})
select.addEventListener("blur", () => {
select.style.borderColor = "#374151"
})
// Add default option
const defaultOption = document.createElement("option")
defaultOption.value = ""
defaultOption.textContent = "Choose a project..."
defaultOption.disabled = true
defaultOption.selected = true
select.appendChild(defaultOption)
// Add project options
projects.forEach((project) => {
const option = document.createElement("option")
option.value = project.id
option.textContent = project.name
option.dataset.containerTag = project.containerTag
select.appendChild(option)
})
const buttonContainer = document.createElement("div")
buttonContainer.style.cssText = `
display: flex;
gap: 12px;
justify-content: flex-end;
margin-top: 8px;
`
const cancelButton = document.createElement("button")
cancelButton.textContent = "Cancel"
cancelButton.style.cssText = `
padding: 10px 16px;
color: #ffffff;
font-size: 14px;
font-weight: 500;
cursor: pointer;
transition: all 0.2s ease;
border-radius: 10px;
border: none;
background: #05070A;
`
cancelButton.addEventListener("mouseenter", () => {
cancelButton.style.backgroundColor = "#f9fafb"
cancelButton.style.color = "#05070A"
})
cancelButton.addEventListener("mouseleave", () => {
cancelButton.style.backgroundColor = "#05070A"
cancelButton.style.color = "#ffffff"
})
const importButton = document.createElement("button")
importButton.textContent = "Import"
importButton.style.cssText = `
padding: 10px 16px;
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 12px;
background: rgba(255, 255, 255, 0.05);
color: rgba(255, 255, 255, 0.3);
font-size: 14px;
font-weight: 500;
cursor: not-allowed;
transition: all 0.2s ease;
`
importButton.disabled = true
// Handle project selection
select.addEventListener("change", () => {
const selectedOption = select.options[select.selectedIndex]
if (selectedOption.value) {
importButton.disabled = false
importButton.style.cssText = `
padding: 10px 16px;
border: none;
border-radius: 12px;
background: linear-gradient(203deg, #0FF0D2 -49.88%, #5BD3FB -33.14%, #1E0FF0 81.81%);
box-shadow: 1px 1px 2px 1px #1A88FF inset, 0 2px 10px 0 rgba(5, 1, 0, 0.20);
color: #ffffff;
font-size: 14px;
font-weight: 500;
cursor: pointer;
transition: all 0.2s ease;
`
} else {
importButton.disabled = true
importButton.style.cssText = `
padding: 10px 16px;
border: 1px solid rgba(255, 255, 255, 0.1);
border-radius: 12px;
background: rgba(255, 255, 255, 0.05);
color: rgba(255, 255, 255, 0.3);
font-size: 14px;
font-weight: 500;
cursor: not-allowed;
transition: all 0.2s ease;
`
}
})
// Handle import button click
importButton.addEventListener("click", () => {
const selectedOption = select.options[select.selectedIndex]
if (selectedOption.value) {
const selectedProject = {
id: selectedOption.value,
name: selectedOption.textContent,
containerTag: selectedOption.dataset.containerTag || "",
}
onImport(selectedProject)
}
})
// Handle cancel button click
cancelButton.addEventListener("click", onClose)
// Handle overlay click to close
modal.addEventListener("click", (e) => {
if (e.target === modal) {
onClose()
}
})
// Handle escape key
const handleKeyDown = (e: KeyboardEvent) => {
if (e.key === "Escape") {
onClose()
}
}
document.addEventListener("keydown", handleKeyDown)
// Clean up event listener when modal is removed
const observer = new MutationObserver(() => {
if (!document.contains(modal)) {
document.removeEventListener("keydown", handleKeyDown)
observer.disconnect()
}
})
observer.observe(document.body, { childList: true, subtree: true })
selectContainer.appendChild(label)
selectContainer.appendChild(select)
form.appendChild(selectContainer)
buttonContainer.appendChild(cancelButton)
buttonContainer.appendChild(importButton)
form.appendChild(buttonContainer)
dialog.appendChild(header)
dialog.appendChild(form)
modal.appendChild(dialog)
return modal
}
/**
* Utility functions for DOM manipulation
*/
export const DOMUtils = {
/**
* Check if current page is on specified domains
* @param domains - Array of domain names to check
* @returns boolean
*/
isOnDomain(domains: readonly string[]): boolean {
return domains.includes(window.location.hostname)
},
/**
* Detect if the page is in dark mode based on color-scheme style
* @returns boolean - true if dark mode, false if light mode
*/
isDarkMode(): boolean {
const htmlElement = document.documentElement
const style = htmlElement.getAttribute("style")
return style?.includes("color-scheme: dark") || false
},
/**
* Check if element exists in DOM
* @param id - Element ID to check
* @returns boolean
*/
elementExists(id: string): boolean {
return !!document.getElementById(id)
},
/**
* Remove element from DOM if it exists
* @param id - Element ID to remove
*/
removeElement(id: string): void {
const element = document.getElementById(id)
element?.remove()
},
/**
* Show toast notification with auto-dismiss
* @param state - Toast state
* @param duration - Duration to show toast (default from config)
* @returns The toast element
*/
showToast(
state: ToastState,
duration: number = UI_CONFIG.TOAST_DURATION,
): HTMLElement {
const existingToast = document.getElementById(ELEMENT_IDS.SUPERMEMORY_TOAST)
if ((state === "success" || state === "error") && existingToast) {
const icon = existingToast.querySelector("div")
const text = existingToast.querySelector("span")
if (icon && text) {
if (state === "success") {
const iconUrl = browser.runtime.getURL("/new_logo.png")
icon.innerHTML = `<img src="${iconUrl}" width="20" height="20" alt="Success" style="border-radius: 2px;" />`
icon.style.animation = ""
text.textContent = "Added to Memory"
} else if (state === "error") {
icon.innerHTML = `
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
<circle cx="12" cy="12" r="10" fill="#ef4444"/>
<path d="M15 9L9 15" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
<path d="M9 9L15 15" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
</svg>
`
icon.style.animation = ""
const textContainer = document.createElement("div")
textContainer.style.cssText =
"display: flex; flex-direction: column; gap: 2px;"
const mainText = document.createElement("span")
mainText.style.cssText = "font-weight: 500; line-height: 1.2;"
mainText.textContent = "Failed to save memory"
const helperText = document.createElement("span")
helperText.style.cssText =
"font-size: 12px; color: #6b7280; font-weight: 400; line-height: 1.2;"
helperText.textContent = "Make sure you are logged in"
textContainer.appendChild(mainText)
textContainer.appendChild(helperText)
text.innerHTML = ""
text.appendChild(textContainer)
}
// Auto-dismiss
setTimeout(() => {
if (document.body.contains(existingToast)) {
existingToast.style.animation = "fadeOut 0.3s ease-out"
setTimeout(() => {
if (document.body.contains(existingToast)) {
existingToast.remove()
}
}, 300)
}
}, duration)
return existingToast
}
}
const existingToasts = document.querySelectorAll(
`#${ELEMENT_IDS.SUPERMEMORY_TOAST}`,
)
existingToasts.forEach((toast) => {
toast.remove()
})
const toast = createToast(state)
document.body.appendChild(toast)
// Auto-dismiss for success and error states
if (state === "success" || state === "error") {
setTimeout(() => {
if (document.body.contains(toast)) {
toast.style.animation = "fadeOut 0.3s ease-out"
setTimeout(() => {
if (document.body.contains(toast)) {
toast.remove()
}
}, 300)
}
}, duration)
}
return toast
},
}

View file

@ -1,60 +0,0 @@
import path from "node:path"
import { createRequire } from "node:module"
import tailwindcss from "@tailwindcss/vite"
import { defineConfig, type WxtViteConfig } from "wxt"
const require = createRequire(import.meta.url)
function reactPackageRoot(pkg: "react" | "react-dom"): string {
return path.dirname(require.resolve(`${pkg}/package.json`))
}
// See https://wxt.dev/api/config.html
export default defineConfig({
modules: ["@wxt-dev/module-react"],
vite: () =>
({
plugins: [tailwindcss()],
resolve: {
dedupe: ["react", "react-dom"],
alias: {
react: reactPackageRoot("react"),
"react-dom": reactPackageRoot("react-dom"),
},
},
optimizeDeps: {
include: ["react", "react-dom", "@tanstack/react-query"],
},
}) as WxtViteConfig,
manifest: {
name: "supermemory",
homepage_url: "https://supermemory.ai",
version: "6.1.3",
permissions: ["storage", "activeTab", "webRequest", "tabs"],
host_permissions: [
"*://x.com/*",
"*://twitter.com/*",
"*://supermemory.ai/*",
"*://api.supermemory.ai/*",
"*://chatgpt.com/*",
"*://chat.openai.com/*",
"*://grok.com/*",
"*://*.grok.com/*",
"*://x.ai/*",
"*://*.x.ai/*",
"*://claude.ai/*",
"*://gemini.google.com/*",
"*://t3.chat/*",
"https://*.posthog.com/*",
],
web_accessible_resources: [
{
resources: ["new_logo.png", "fonts/*.ttf"],
matches: ["<all_urls>"],
},
],
},
webExt: {
chromiumArgs: ["--user-data-dir=./.wxt/chrome-data"],
},
})

View file

@ -1,99 +0,0 @@
---
title: "Automations and Proactiveness"
sidebarTitle: "Automations"
description: "Scheduled work Company Brain runs on its own, and when it speaks without being asked"
icon: "bot"
---
import { SlackThread, SlackMessage, Mention, ChannelRef } from "/snippets/slack-message.mdx";
Company Brain doesn't only answer when you @mention it. It can run recurring work on a schedule, and it can speak in a thread on its own when it has something genuinely worth saying. Both are opt-in, both are rate-limited, and both read from exactly the same [permissions graph](/company-brain/permissions) as a normal question — neither is a backdoor around it.
## Automations
An automation is a prompt that runs on a schedule and posts the result somewhere. You write it once, in plain language:
<SlackThread channel="#product">
<SlackMessage self hasAvatar time="9:03 AM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> every Monday at 9am, post a digest of what shipped last week and what's still open, to <ChannelRef>product</ChannelRef>.
</SlackMessage>
<SlackMessage bot hasAvatar time="9:03 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Got it — scheduled. First digest posts Monday, 9:00 AM, to <ChannelRef>product</ChannelRef>.
</SlackMessage>
</SlackThread>
<Steps>
<Step title="Schedule fires">
The automation wakes up at its set time — no one has to trigger it.
</Step>
<Step title="Gathers context">
It reads using only **org-shared** connections and channel memory — never a person's personal credentials, even if the person who created the automation has better personal access. This is what keeps a scheduled post from silently acting as a specific teammate.
</Step>
<Step title="Checks visibility">
Before posting, it re-confirms it can still see the destination channel.
</Step>
<Step title="Posts, or fails closed">
If anything above is unclear — a connection broke, visibility can't be verified — it skips that run rather than posting a guess. Silence beats a wrong digest.
</Step>
</Steps>
**Who can target what:**
| Destination | Who can create it | Reads from |
|---|---|---|
| Public channel | Any member | Org-shared connections, public channel memory |
| Private channel | Admins only | Org-shared connections, that channel's memory |
| DM to yourself | The owner of that DM | Your personal + org connections, your employee memory |
Common shapes worth stealing:
- A Monday-morning digest of open items and unanswered questions
- A daily Sentry error recap in `#eng`
- A weekly "what changed across our connected tools" summary
Anyone can create and manage their own automations; admins can manage everyone's. Ask Company Brain in Slack to set one up, or manage the full list from the web app.
## Proactiveness (chime-in)
Chime-in is different from an automation: there's no schedule, and no one asked. Company Brain is simply present in a channel — because an admin invited it — and it speaks up when staying quiet would waste someone's time.
**What actually earns a chime-in:**
- It has to add something the room doesn't already have — a fact, a correction, a next step — not agreement or a restatement of what's already visible.
- It has to come from somewhere it's genuinely allowed to look: [connected tools](/company-brain/connectors) or that room's own memory, same as any other answer.
- If it isn't confident the answer is actually correct, it says nothing. A wrong guess is worse than silence, so uncertainty resolves to silence, not a hedge.
<CodeGroup>
```text Worth chiming in
"is prod down? customers are pinging me"
→ correlates against Sentry, replies with what's actually elevated right now
```
```text Not worth it
"finally shipped this 🎉" (screenshot, no question)
→ stays quiet — there's nothing to add
```
</CodeGroup>
**Guardrails that keep it from becoming noise:**
- **Rate-limited.** It won't speak repeatedly in the same thread or channel in a short window, even if it technically could add something each time.
- **Invite-only rooms.** It never joins a channel on its own — only places an admin already invited it into.
- **Same graph as a normal answer.** A private channel's chime-in only ever draws on that channel's memory and public channel memory — never another private channel, never someone else's employee memory.
An explicit @mention always skips this judgment call entirely — naming it is you deciding it should speak, so it does.
<Note>
Automations and chime-in both write back to memory the same way a normal conversation does: a public channel's automation output lands in public channel memory, a private channel's chime-in stays scoped to that channel's memory.
</Note>
<CardGroup cols={2}>
<Card title="What you can do" icon="sparkles" href="/company-brain/use-cases/overview">
Real scenarios — support, incidents, digests, and more.
</Card>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Wire up the tools automations and chime-in draw from.
</Card>
</CardGroup>

View file

@ -1,64 +0,0 @@
---
title: "Connectors"
sidebarTitle: "Connectors"
description: "Bring knowledge in with data connectors, and act in live tools with tool connectors"
icon: "plug"
---
Company Brain has two kinds of connectors. They look similar on the connections page, but they do different jobs:
| | Data connectors | Tool connectors |
|---|---|---|
| **What they do** | Bring knowledge *in* | Let the agent *act* in the tool |
| **Examples** | Google Drive, Notion, OneDrive | GitHub, Linear, Sentry, Plain, PostHog, Granola |
| **Result** | Docs land in public channel memory and stay searchable | Live reads and writes (list PRs, create issues, check errors) |
| **When it runs** | Background sync on a schedule | In the moment you ask |
## Data connectors
Data connectors sync existing files and docs into **public channel memory** so answers are grounded in real material — roadmaps, specs, handbooks, design docs.
How it works:
1. An admin connects a source (Drive, Notion workspace, OneDrive, and similar).
2. Company Brain fetches, chunks, embeds, and indexes the content in the background.
3. It re-syncs on a schedule automatically — you don't re-upload when a doc changes.
Connecting a data source is a **team-level action**. What comes in is visible org-wide, same as anything from a public channel — see the [permissions graph](/company-brain/permissions) for exactly who can read what.
<Note>
A data connector is only as useful as the docs you point it at. Start with the handful of sources people actually re-read — product specs, the handbook, the latest roadmap — rather than every folder in Drive.
</Note>
## Tool connectors
Tool connectors are live integrations (MCP-based under the hood). They don't just index past content — they read and act in the tool *right now*:
- **GitHub** — open PRs, recent commits, repo context
- **Linear** — find or create issues, check status
- **Sentry** — what's actually erroring in prod
- **Plain** — customer support tickets and history
- **PostHog** — product analytics
- **Granola** — meeting notes and decisions
- **Custom servers** — wire up your own MCP endpoint when the catalog doesn't cover a tool
You can also connect tools at two scopes — **Organization (shared)** or **Personal (yours)**. The full rule of thumb lives on [The permissions graph](/company-brain/permissions): reads prefer your personal connection and fall back to the org one; writes always run under your own account so the action is attributed to you.
If neither you nor the org has a tool connected, but a teammate does, Company Brain can ask them to **lease** temporary access for that one request — see [Leasing](/company-brain/permissions#leasing-borrowing-access-for-one-request).
## Which one do I need?
- **"What's in our Q2 roadmap?"** → data connector (Drive/Notion/OneDrive already synced)
- **"What are my open PRs?"** or **"Create a Linear issue"** → tool connector (GitHub / Linear)
- **"What did we decide in the Acme call?"** → tool connector that also brings knowledge in (Granola), or a data connector if notes live in Drive/Notion
You almost always want both: data connectors for the long-lived knowledge base, tool connectors for the live work happening this week.
<CardGroup cols={2}>
<Card title="Automations & proactiveness" icon="wand-magic-sparkles" href="/company-brain/automations">
Scheduled digests and unprompted replies that use these connections.
</Card>
<Card title="What you can do" icon="sparkles" href="/company-brain/use-cases/overview">
Walkthroughs of support, incidents, PRs, meetings, and more.
</Card>
</CardGroup>

View file

@ -1,52 +0,0 @@
---
title: "Using Outside Slack"
sidebarTitle: "Outside Slack"
description: "Reach the same permissions graph from Claude Code, ChatGPT, Cursor, or any MCP client"
icon: "globe"
---
Slack is the default surface, not the only one. Company Brain speaks MCP, so the same graph — your employee memory, the private channels you're in, public channel memory — is reachable from any MCP client: Claude Code, ChatGPT, Cursor, or anything else that speaks the protocol.
## Connect
Same endpoint as [Supermemory MCP](/supermemory-mcp/mcp) — there's no separate Company Brain server to point at:
```text
https://mcp.supermemory.ai/mcp
```
OAuth by default — your client discovers the authorization server and prompts you to sign in. Prefer an API key instead? Any key starting with `sm_` skips OAuth entirely.
<Note>
What changes isn't the URL, it's what shows up once you're connected. If your account belongs to an org with Company Brain, you get more than your own project spaces — your employee memory, the private channels you're in, and public channel memory all become available as workspaces, carrying your role and the exact same read/write access Slack already enforces.
</Note>
## Pick a workspace
Once connected, ask it what's available — it returns every container tag you have access to: your employee memory, each private channel memory you belong to, and public channel memory. Select one to make it the active workspace for the session; everything after that scopes to it automatically.
**Example:** from Claude Code, "what can I access in Acme's Company Brain?" surfaces your options as a picker — your employee memory, `#eng`'s private channel memory if you're in it, public channel memory. Pick one, and every search or save for the rest of the session happens inside it — the same as asking from that room in Slack.
## Tools
| Tool | What it does |
|---|---|
| `listContainerTags` | Everything you're allowed to read, with names and counts |
| `select-workspace` / `set-active-tag` | Pick which one is active for this session |
| `recall` | Search the active workspace, plus a profile summary when you're in your employee memory |
| `save-memory` | Write back to the active workspace |
| `memory-graph` | An interactive, visual map of a workspace's memories |
| `whoAmI` | Your role, access type, and active workspace — useful for sanity-checking what a client can actually see |
## Same graph, same guardrails
Nothing here is a side door. What you can reach follows the exact same [permissions graph](/company-brain/permissions) as Slack — an admin can restrict a member's connection to specific container tags the same way they'd scope a Slack channel invite, and every read or write is checked against that before it runs.
<CardGroup cols={2}>
<Card title="The permissions graph" icon="shield-check" href="/company-brain/permissions">
What each container tag actually is, and who can read it.
</Card>
<Card title="Supermemory MCP" icon="brain-circuit" href="/supermemory-mcp/mcp">
Base setup, auth, and personal project spaces on the same server.
</Card>
</CardGroup>

View file

@ -1,99 +0,0 @@
---
title: "What is Supermemory Company Brain?"
sidebarTitle: "Overview"
description: "A super agent, with all the knowledge and tools of your team"
icon: "brain"
---
import { SlackThread, SlackMessage, Mention, ChannelRef, AgentLink } from "/snippets/slack-message.mdx";
Supermemory Company Brain is a super agent with shared memory for your team that you can **ask questions** and that can **act in your tools**. It pulls from the work you already do - Slack threads, docs, GitHub, Linear - And can pretty much act as a real employee in your team.
<CardGroup cols={2}>
<Card title="Remembers" icon="brain">
Meetings, decisions, projects, and who owns what — kept current as your connected sources sync.
</Card>
<Card title="Acts" icon="bolt">
Pulls your open PRs, finds a Linear issue, or answers in a Slack channel — not just recites text back.
</Card>
</CardGroup>
## A quick example of its capabilities
It'll answer a question, actually go do the work, or just jump into a conversation on its own when it's got something worth saying — like a coworker would, not a search bar. You can configure how funny and unhinged it is, or how of it you want.
### Ask it anything
<SlackThread channel="#product">
<SlackMessage self hasAvatar time="10:42 AM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> what did we decide about pricing for the company brain
</SlackMessage>
<SlackMessage bot hasAvatar time="10:42 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
You and mahesh decided yesterday that it stays at **$400/mo**, usage based only. we landed on that in a <ChannelRef>product</ChannelRef> huddle
</SlackMessage>
</SlackThread>
### Put it to work
<SlackThread channel="#eng">
<SlackMessage self hasAvatar time="3:24 PM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> is the Stripe webhook timeout from Sentry already tracked anywhere?
</SlackMessage>
<SlackMessage bot hasAvatar time="3:25 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
nope, nothing yet — just opened **ENG-847** for it, added the sentry issue to it, and put it on <Mention>Sam</Mention> since they were the last one in `webhooks/stripe.ts` and their beautiful code broke it ☠️. <AgentLink href="https://linear.app">here you go</AgentLink>, should probably fix it asap.
</SlackMessage>
</SlackThread>
### Let it speak up on its own
<SlackThread channel="#eng" members={48}>
<SlackMessage name="Alex" color="#E01E5A" time="11:03 AM">
is prod down? a couple of customers are pinging me
</SlackMessage>
<SlackMessage bot hasAvatar time="11:03 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
not fully down — `api/search` is just elevated, 42 errors in the last 15 min (SM-2041), and <Mention>Kush</Mention> is on it. probably that deploy from this morning. Only one user has complained on support and i already replied to them saying it's being investigated.
</SlackMessage>
</SlackThread>
You don't need to mention it. It speaks up when it has something to add. It's smart and proactive!
## Same knowledge, useful everywhere
It's your team's knowledge — it doesn't have to stay in Slack. Take it wherever you're actually working:
- **Your coding agent** — ask Claude Code or Cursor mid-session what the team decided, why a file looks the way it does, or who to ping about it, without tabbing over to Slack.
- **Your own tools, via MCP** — Company Brain speaks MCP, so if whatever you're building can speak MCP too, it can ask. Plug it into an internal tool, a script, whatever you need.
Same permissions graph everywhere, no exceptions — asking from Claude Code doesn't get you anything asking from Slack wouldn't.
```text
> is the stripe webhook thing from earlier actually fixed?
yep — Sam shipped it in ENG-847 about an hour ago, Sentry's been quiet since
```
This knowledge can be used wherever you and your teammates go — see [Using outside Slack](/company-brain/outside-slack) for how to connect.
## Use it your way
Company Brain isn't locked to one model or one voice. Two things you control directly:
- **Any model, no markup** — bring your own LLM and pay nothing extra for inference.
- **Its tonality** — configure how it talks, from buttoned-up professional to fully unhinged. Make it sound like your team, not a generic chatbot.
## Where to go next
Company Brain has a handful of ideas worth understanding before you set it up: Our permissioning setup, how to configure it, proactiveness, automations, and more.
<CardGroup cols={2}>
<Card title="The permissions graph" icon="shield-check" href="/company-brain/permissions">
What's remembered where, and who can read it.
</Card>
<Card title="Setup and onboarding" icon="rocket" href="/company-brain/setup">
Get your team's workspace running.
</Card>
</CardGroup>

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@ -1,91 +0,0 @@
---
title: "The Permissions Graph"
sidebarTitle: "Permissions"
description: "What Company Brain remembers, who it's visible to, and how tool access is scoped"
icon: "shield-check"
---
Company Brain isn't split into "a shared brain" and "a private brain." It's a graph: memory is written to the narrowest room a conversation happened in, and what a given conversation can *read* depends on where it's happening and who's asking. Nothing here is silent — every install, channel read, and temporary access grant requires an explicit accept from a real person.
## Three memories, not two
<CardGroup cols={3}>
<Card title="Employee memory" icon="user">
One per person. Built from your DMs with the bot and what it learns about you over time. Only visible from your own DM.
</Card>
<Card title="Private channel memory" icon="lock">
One per private channel. Scoped to that room — visible to anyone in it, to no one outside it.
</Card>
<Card title="Public channel memory" icon="hash">
One per organization. Anything durable from a public channel lands here. The whole org can draw on it.
</Card>
</CardGroup>
A message writes to exactly one of these — whichever room it happened in.
## What a conversation can read
Writing is narrow; reading is broader, and it widens the more private the room is:
| Asking from | Can read |
|---|---|
| A public channel | Public channel memory |
| A private channel | That channel's memory + public channel memory |
| A DM with the bot | Your employee memory + public channel memory + every private channel memory you belong to |
```mermaid
flowchart LR
Pub["Public channel memory<br/>(the whole org)"]
Priv["Private channel memory<br/>(that room's members)"]
Emp["Employee memory<br/>(you, in DM)"]
Priv -.reads.-> Pub
Emp -.reads.-> Pub
Emp -.reads.-> Priv
```
A DM is the widest seat in the room precisely because it's the most private one — the bot answers you there with everything *you* could see, stitched together. A public channel is the opposite: the whole org can read it, so it only ever draws on what the whole org is allowed to know.
<Note>
If you're not in a private channel, its memory doesn't exist for you — not even by inference in a DM. The bot only ever reads with the asker's own access, so it can't surface something you couldn't otherwise see.
</Note>
**Example:** you DM the bot asking "what did we decide about the Acme deal?" It can draw on the public `#sales` channel, the private `#acme-deal` channel if you're in it, and anything it's learned about you directly — and it'll cite which one the answer came from. Ask the same question in `#general`, a public channel, and it can only answer from what `#general` and other public channels already know — the private `#acme-deal` context simply isn't in scope there.
## Tool access follows you, not the connection
Tools like GitHub and Linear can be connected two ways — **Organization (shared)**, set up once by an admin as a fallback the whole team can read from, or **Personal (yours)**, your own connection for your own reads and actions. Both show up on the same connections page; it's one tool catalog, connected at two possible scopes.
Whichever scope answered, the result is still bounded by what *you* could already see or do in that tool yourself — Company Brain never gets a standing key to "everything Linear knows." If you're not on a private Linear team, the bot can't surface those issues to you either, even through the org-shared connection.
| | Reads | Writes |
|---|---|---|
| **Behavior** | Try your personal connection first, then fall back to org-shared | Always run under your own connection |
| **Why** | Gives you the fullest access you're entitled to | Attributes the action to a real person, never a shared service account |
Admins can also act through the org-shared connection directly, for the cases where that's the point.
## Leasing: borrowing access for one request
Sometimes a request needs a tool neither you nor the org has connected — but a teammate has it connected personally. Rather than failing, Company Brain can ask that teammate directly: it posts a card in Slack asking them to approve or deny lending access for that one request.
- Nothing is granted silently — a real person has to accept the card.
- Access is short-lived and scoped to the single request that triggered it, not standing access to your account.
- The teammate can say no, and the request simply doesn't go through.
<Note>
Leasing is a fallback of last resort — it only comes up when nobody's connected the tool at the org level yet. See [Connectors](/company-brain/connectors) to close that gap for good.
</Note>
## API keys inherit the same graph
A scoped or agent API key can only reach what its owner could already reach by asking directly. A member can't mint a key that reads another member's employee memory or a private channel they're not in — the graph above applies identically whether a person is asking or a key is.
<CardGroup cols={2}>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Set up the data and tool connections this page describes.
</Card>
<Card title="Automations & proactiveness" icon="wand-magic-sparkles" href="/company-brain/automations">
How scheduled runs and unprompted replies respect the same graph.
</Card>
</CardGroup>

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---
title: "Setup and Onboarding"
sidebarTitle: "Setup"
description: "Creating a team workspace and installing it into Slack"
icon: "rocket"
---
Setting up Company Brain is two admin steps: create the workspace, then install it into Slack. Everyone else joins on their own after that — see [Greeting new teammates](/company-brain/use-cases/greeting).
## 1. Create your team workspace
Creating a workspace sets up your shared **Team Brain** and your private **My Brain** in one step.
<Steps>
<Step title="Sign up">
Head to [app.supermemory.ai](https://app.supermemory.ai) and create an account.
</Step>
<Step title="Choose Team">
On the **About** step, switch from **Personal** to **Team**.
<Note>
Team workspaces are invite-only during the private beta. Not invited yet? Email **support@supermemory.com**, or start Personal and invite your team once you're in.
</Note>
![Personal/Team toggle on sign-up, with the private-beta invite notice for Team](/images/company-brain/signup-team-toggle.png)
</Step>
<Step title="Add your company domain and confirm">
Enter your domain (for example `acme.com`) and confirm. Supermemory researches the company from there and seeds a starting profile, before any source finishes syncing.
![Company domain step — Supermemory researches the company from the domain to set up its Brain](/images/company-brain/signup-company-domain.png)
</Step>
<Step title="Add to Slack, connect apps, and invite your team">
All three run in parallel with research, and none of them block it:
- **Add to Slack** — kicks off the install flow below.
- **Connect apps** — Linear, Granola, Sentry, and more.
- **Invite teammates** — now, not later. No per-seat pricing, so invite everyone in your Slack.
![Research in progress, with Add to Slack and Connect apps available alongside it](/images/company-brain/signup-research-connect.png)
</Step>
<Step title="You're ready">
Supermemory's already learned a real amount about your company by the time research finishes. Watch Slack for a DM from it walking you through what it can do.
![The finished research — real notes about the company and founder, ready to search](/images/company-brain/signup-research-complete.png)
</Step>
</Steps>
<Note>
**Try it:** ask `What does {your company} do?` — you should get a real answer from the seeded profile.
</Note>
## 2. Install into Slack (admin)
<AccordionGroup>
<Accordion title="Don't have a Slack workspace yet?">
Go to [app.slack.com](https://app.slack.com) to create one first — Company Brain installs into an existing workspace, it doesn't create one for you.
![Naming a new Slack workspace](/images/company-brain/slack-create-workspace.png)
</Accordion>
</AccordionGroup>
<Steps>
<Step title="Confirm company and domain">
Click **Install to Slack**. Not an admin? This triggers Slack's own request-to-install flow instead.
</Step>
<Step title="Hand off to Slack">
The web app hands off immediately — "we've DM'd you in Slack."
</Step>
<Step title="Home channel">
The agent creates `#company-brain`, posts an intro there, and announces itself once in `#general`.
</Step>
<Step title="Approve channels to read">
You approve each channel with a tap — it never joins one silently.
</Step>
<Step title="Add your team">
Invite people with a picker, a workspace-wide toggle, or email.
</Step>
</Steps>
<CardGroup cols={2}>
<Card title="Greeting new teammates" icon="user-plus" href="/company-brain/use-cases/greeting">
What member join looks like from a new hire's side.
</Card>
<Card title="The permissions graph" icon="shield-check" href="/company-brain/permissions">
What each person can see once they're in.
</Card>
</CardGroup>

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---
title: "Acting in Tools"
sidebarTitle: "Acting in Tools"
description: "List open PRs, create Linear issues — actions run under your own account"
icon: "wrench"
---
import { SlackThread, SlackMessage, Mention, AgentLink } from "/snippets/slack-message.mdx";
## The scenario
You don't just want to *know* something — you want Company Brain to do the next step in GitHub or Linear for you.
## What happens
### Read from a tool
<SlackThread channel="#eng">
<SlackMessage self hasAvatar time="3:22 PM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> what are my open PRs in the web repo?
</SlackMessage>
<SlackMessage bot hasAvatar time="3:22 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
You have **3 open PRs** on `supermemory/web`:
- `#1199` staff custom MCP connection cards — review requested
- `#1197` company brain onboarding research UI — changes requested
- `#1181` brain connections board — approved, not merged
</SlackMessage>
</SlackThread>
### Write to a tool
<SlackThread channel="#eng">
<SlackMessage self hasAvatar time="3:24 PM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> create a Linear issue: fix the onboarding redirect
</SlackMessage>
<SlackMessage bot hasAvatar time="3:24 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Created **ENG-842** — *Fix the onboarding redirect* in Engineering, assigned to you. <AgentLink href="https://linear.app">Open in Linear</AgentLink>
</SlackMessage>
</SlackThread>
## What's really going on
Both turns use [tool connectors](/company-brain/connectors) (GitHub, Linear). Reads try your **personal** connection first and fall back to the org-shared one. **Writes always run under your own account** — so the Linear issue is attributed to you, never silently as "the org."
If you haven't connected the tool and neither has the org, Company Brain can ask a teammate to [lease](/company-brain/permissions#leasing-borrowing-access-for-one-request) temporary access for that one request.
<CardGroup cols={2}>
<Card title="Permissions" icon="shield-check" href="/company-brain/permissions">
Personal vs org tools, and how leasing works.
</Card>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Connect GitHub, Linear, and the rest.
</Card>
</CardGroup>

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---
title: "Greeting New Teammates"
sidebarTitle: "Greeting Teammates"
description: "Connect card, welcome DM, and first answer — activation on day one"
icon: "user-plus"
---
import { SlackThread, SlackMessage } from "/snippets/slack-message.mdx";
## The scenario
A new hire joins the Slack workspace. They shouldn't need a web signup form or a long handbook read before Company Brain is useful — the whole first experience happens in Slack.
## What happens
They get a connect card, tap **Connect me**, and receive a welcome DM:
<SlackThread type="dm" dmWith={{ name: "supermemory" }} hasAvatar>
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
<SlackMessage bot hasAvatar time="9:02 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Welcome to **Acme**. Here's what I know, what I can access, and what I keep private.
Try one of these:
1. What does Acme do?
2. Who owns onboarding?
3. Where do we track bugs?
</SlackMessage>
<SlackMessage name="Sam" color="#36C5F0" time="9:03 AM">
What does Acme do?
</SlackMessage>
<SlackMessage bot hasAvatar time="9:03 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Acme builds memory infrastructure for AI apps — shared context for teams and agents. *(from the company profile your admin seeded at setup)*
</SlackMessage>
</SlackThread>
Right after the first answer, they're prompted to connect personal tools (Linear, Notion) so day-two questions can hit live data.
## What's really going on
This is the [member join flow](/company-brain/setup) told as a scenario. Tapping **Connect me** creates a passwordless account from their Slack email, provisions their private [employee memory](/company-brain/permissions), and consumes a seat. The three starter questions are seeded so the first useful answer happens on the first tap — that's the activation moment.
No web app required for the new hire. Admins still do the one-time workspace + Slack install on the web.
<CardGroup cols={2}>
<Card title="Setup and onboarding" icon="rocket" href="/company-brain/setup">
The full admin + member flow.
</Card>
<Card title="Permissions" icon="shield-check" href="/company-brain/permissions">
Employee memory vs. public and private channel memory.
</Card>
</CardGroup>

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---
title: "Incidents & Downtime Chatter"
sidebarTitle: "Incidents"
description: "Answer 'is prod down?' from live Sentry, and post scheduled error digests"
icon: "triangle-alert"
---
import { SlackThread, SlackMessage, AgentLink } from "/snippets/slack-message.mdx";
## The scenario
Someone drops a vague "is prod down?" in `#eng`. Company Brain correlates it with what's actually failing right now — and a separate automation keeps a daily error digest flowing without anyone asking.
## What happens
<SlackThread channel="#eng" members={48}>
<SlackMessage name="Alex" color="#E01E5A" time="11:03 AM">
is prod down? a couple of customers are pinging me
</SlackMessage>
<SlackMessage bot hasAvatar time="11:03 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Not a full outage — **`api/search` is elevated** (42 errors in the last 15m, mostly `timeout on vectorize`). Sentry issue <AgentLink href="https://example.com">SM-2041</AgentLink>. Deploy from this morning is the likely culprit; rollback candidate is `af61880`.
</SlackMessage>
</SlackThread>
Or, without anyone asking, a scheduled automation posts every morning:
<SlackThread channel="#eng">
<SlackMessage bot hasAvatar time="9:00 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
**Daily error digest** — 3 issues new since yesterday, 1 still spiking (`api/search` timeout). Full list in Sentry.
</SlackMessage>
</SlackThread>
## What's really going on
The first exchange is a [chime-in](/company-brain/automations) (or an @mention — either works) that hits the **Sentry** [tool connector](/company-brain/connectors) for live error data. The second is an [automation](/company-brain/automations): a recurring prompt on a cron that posts to a channel using org-shared connections only, so it never runs as a specific person.
If the channel is private, only an admin can target it with an automation, and the bot fails closed if it can't verify visibility.
<CardGroup cols={2}>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Connect Sentry (and friends) for live incident context.
</Card>
<Card title="Automations" icon="wand-magic-sparkles" href="/company-brain/automations">
Schedule digests and understand chime-in.
</Card>
</CardGroup>

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---
title: "Answering from Your Docs"
sidebarTitle: "From Docs"
description: "Ask about roadmaps, specs, and handbooks in plain language"
icon: "book"
---
import { SlackThread, SlackMessage, Mention } from "/snippets/slack-message.mdx";
## The scenario
The Q2 roadmap lives in Notion. Nobody wants to dig for the link mid-conversation — they just ask.
## What happens
<SlackThread channel="#product">
<SlackMessage self hasAvatar time="10:18 AM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> what's in our Q2 roadmap?
</SlackMessage>
<SlackMessage bot hasAvatar time="10:18 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Three themes for Q2:
1. **Company Brain GA** — Slack bot, connectors, automations
2. **Memory Router v2** — lower latency, better multi-tenant isolation
3. **Enterprise SSO + audit log**
Full doc: *Q2 Roadmap* in Notion (last updated Jun 3).
</SlackMessage>
</SlackThread>
## What's really going on
This is a [data connector](/company-brain/connectors) (Notion, Google Drive, or OneDrive) feeding [public channel memory](/company-brain/permissions). Content is fetched, chunked, embedded, and re-synced on a schedule — so when the roadmap changes in Notion, answers stay current without anyone re-uploading.
Same pattern works for handbooks, design docs, RFCs, and "where do we document X?" style questions. If it doesn't know, it says so rather than guessing.
<CardGroup cols={2}>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Bring Drive, Notion, and OneDrive into public channel memory.
</Card>
<Card title="Permissions" icon="shield-check" href="/company-brain/permissions">
Who can see what once it's indexed.
</Card>
</CardGroup>

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---
title: "Long-Horizon Research"
sidebarTitle: "Long-Horizon Research"
description: "Questions that need many sources synthesized into one answer"
icon: "telescope"
---
import { SlackThread, SlackMessage, Mention } from "/snippets/slack-message.mdx";
## The scenario
Some questions aren't a quick lookup. They need pulling information from a lot of distinct places — docs, tickets, meetings, code, past Slack threads — and synthesizing it into one coherent answer. Closer to a research project than "what's the pricing?"
## What it will look like
<SlackThread channel="#product">
<SlackMessage self hasAvatar time="11:10 AM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> prepare a brief on how we've handled enterprise SSO requests over the last two quarters — who asked, what we promised, what's still open, and what engineering thinks the real effort is
</SlackMessage>
<SlackMessage bot hasAvatar time="11:14 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
**Enterprise SSO — two-quarter brief**
- **Demand:** 6 serious asks (Acme, Globex, Initech, …). Three converted to paid pilots.
- **Promises made:** Okta + Azure AD for pilots; custom SAML called "roadmap" in two decks.
- **Still open:** Globex blocked on SCIM; Initech waiting on audit-log export.
- **Eng view:** ~6 weeks for Okta/Azure path (from `#eng` thread Mar 18 + Linear ENG-610); SCIM is the long pole.
Sources: Q1/Q2 enterprise notes, Linear ENG-610, Granola "SSO planning", `#sales` threads. Want this as a Linear doc?
</SlackMessage>
</SlackThread>
## What's really going on
Today, a single turn can already hit multiple [connectors](/company-brain/connectors) and channel memory in one answer. Long-horizon research is for the cases where that isn't enough — the work needs more time, more parallel digging, and a structured synthesis step before it replies.
We're deliberately not documenting an internal "spawn N children" mechanism here. What matters for you: ask a research-shaped question, get a sourced brief back, without you having to run six separate searches.
Until it ships, break big questions into smaller ones (docs, then tickets, then "summarize what we have") — Company Brain already handles each of those well.
<CardGroup cols={2}>
<Card title="From docs" icon="book" href="/company-brain/use-cases/knowledge-recall">
What single-turn knowledge recall looks like today.
</Card>
<Card title="Meeting recall" icon="calendar-check" href="/company-brain/use-cases/meeting-recall">
Pulling decisions out of synced notes.
</Card>
</CardGroup>

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---
title: "Meeting Recall"
sidebarTitle: "Meeting Recall"
description: "Ask what was decided in a meeting and get the answer from synced notes"
icon: "calendar-check"
---
import { SlackThread, SlackMessage, Mention } from "/snippets/slack-message.mdx";
## The scenario
Someone missed the Acme call — or was there and forgot the outcome. They ask in Slack and get the decision, with a path back to the source notes.
## What happens
<SlackThread channel="#sales">
<SlackMessage self hasAvatar time="4:05 PM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> what did we decide in the meeting with Acme?
</SlackMessage>
<SlackMessage bot hasAvatar time="4:05 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Acme is moving to annual billing at the current rate, with a 90-day pilot on the enterprise SSO add-on. Follow-up owned by **Priya**, due Friday. *(from Granola notes, Acme QBR — Jun 11)*
</SlackMessage>
</SlackThread>
## What's really going on
Meeting notes come in through a [connector](/company-brain/connectors) — Granola for live meeting notes, or Drive/Notion if notes land there. Once synced, they live in [public channel memory](/company-brain/permissions), so anyone on the team can ask about them. The answer cites the source so you can open the original notes and verify.
Ask about a decision, an owner, a date, or "what did we promise them" — plain language is fine.
<CardGroup cols={2}>
<Card title="Permissions" icon="shield-check" href="/company-brain/permissions">
Why meeting notes land in public channel memory.
</Card>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Connect Granola, Drive, or Notion.
</Card>
</CardGroup>

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---
title: "Meeting Scheduling"
sidebarTitle: "Scheduling"
description: "Find free time and send a calendar invite from Slack"
icon: "calendar-plus"
---
import { SlackThread, SlackMessage, Mention } from "/snippets/slack-message.mdx";
<Note>
**Coming soon.** Calendar scheduling isn't in Company Brain yet — there's no calendar connector in the catalog today. This page shows the experience we're building toward, using a real exchange from our own team.
</Note>
## The scenario
A teammate needs help and doesn't want to play calendar ping-pong. They ask in Slack; Company Brain checks availability and offers to book the slot.
## What it will look like
<SlackThread channel="#eng">
<SlackMessage name="Sam" color="#36C5F0" time="1:12 PM">
Dhravya are you free this afternoon? need some help with dev setup
</SlackMessage>
<SlackMessage bot hasAvatar time="1:12 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Dhravya is free at **2:00 PM**. Sending an invite to block **20 mins** on both your calendars.
</SlackMessage>
</SlackThread>
## What's really going on
When this ships, it will be a [tool connector](/company-brain/connectors) against the calendar — same personal-vs-org rules and [write-under-your-account](/company-brain/permissions) attribution as Linear or GitHub. Creating an invite is a write, so it runs as the person who has the calendar connected (or via an explicit [lease](/company-brain/permissions#leasing-borrowing-access-for-one-request) if someone else is lending access for that one request).
Until then: ask Company Brain for *context* around scheduling ("who's the right person for dev setup?" / "when did we last pair on this?") and book the time the usual way.
<CardGroup cols={2}>
<Card title="Permissions" icon="shield-check" href="/company-brain/permissions">
How personal tools and leasing will apply to calendar.
</Card>
<Card title="What you can do" icon="sparkles" href="/company-brain/use-cases/overview">
Back to all scenarios — including what's shipped today.
</Card>
</CardGroup>

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@ -1,47 +0,0 @@
---
title: "What You Can Do"
sidebarTitle: "Overview"
description: "Real scenarios for Company Brain — from Slack answers to sandbox debugging"
icon: "sparkles"
---
Company Brain is most useful when it shows up in the work you already do. These walkthroughs are short, concrete scenarios — each one is a real exchange, what the bot is actually doing under the hood, and which concept page to read if you want the full picture.
## Shipped today
<CardGroup cols={2}>
<Card title="Automatic support" icon="headset" href="/company-brain/use-cases/support">
Customer question in Slack; Company Brain chimes in with the answer.
</Card>
<Card title="Incidents & downtime" icon="triangle-alert" href="/company-brain/use-cases/incidents">
"Is prod down?" answered from live Sentry, plus scheduled digests.
</Card>
<Card title="Meeting recall" icon="calendar-check" href="/company-brain/use-cases/meeting-recall">
"What did we decide with Acme?" from synced meeting notes.
</Card>
<Card title="Answering from docs" icon="book" href="/company-brain/use-cases/knowledge-recall">
Roadmaps, specs, and handbooks — asked in plain language.
</Card>
<Card title="Acting in tools" icon="wrench" href="/company-brain/use-cases/acting-in-tools">
List open PRs, create a Linear issue — under your own account.
</Card>
<Card title="Greeting new teammates" icon="user-plus" href="/company-brain/use-cases/greeting">
Connect card, welcome DM, first answer — activation on day one.
</Card>
<Card title="Sandbox debugging" icon="terminal" href="/company-brain/use-cases/sandbox-debugging">
Actually run the failing test in an isolated workspace.
</Card>
</CardGroup>
## Coming soon
<CardGroup cols={2}>
<Card title="Long-horizon research" icon="telescope" href="/company-brain/use-cases/long-horizon-research">
Questions that need many sources synthesized into one answer.
</Card>
<Card title="Meeting scheduling" icon="calendar-plus" href="/company-brain/use-cases/meeting-scheduling">
Find free time and send a calendar invite from Slack.
</Card>
</CardGroup>
If you're still setting things up, start with [What is Company Brain?](/company-brain/overview) and work through the Concepts section first — the walkthroughs assume those ideas.

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@ -1,51 +0,0 @@
---
title: "Sandbox Debugging"
sidebarTitle: "Sandbox"
description: "Hand it a failing test — it runs the code in an isolated workspace and reports back"
icon: "terminal"
---
import { SlackThread, SlackMessage, Mention } from "/snippets/slack-message.mdx";
## The scenario
A test is failing and the stack trace alone isn't enough. You want Company Brain to actually run the code, not just describe what it *would* do.
## What happens
<SlackThread channel="#eng">
<SlackMessage self hasAvatar time="5:41 PM">
<img src="/images/company-brain/dhravya-slack-icon.jpg" alt="" />
<Mention>supermemory</Mention> the `permissions.lease` unit test is failing on main — can you reproduce and tell me why?
</SlackMessage>
<SlackMessage bot hasAvatar time="5:42 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Reproduced in a sandbox against `main`.
**Failure:** `permissions.lease` expects temporary access to expire in 15 minutes, but the fixture still asserts 30.
**Cause:** the default was shortened in `#1188`; the unit test wasn't updated.
**Fix:** point the assertion at the shared default so it can't drift again.
</SlackMessage>
</SlackThread>
## What's really going on
Company Brain spins up an **isolated workspace**, checks out what it needs, runs the command, and reads the output. It's not guessing from static code alone — it's executing.
Guardrails are intentional, so it's safe to hand real tasks to:
- No `git push`, no deploys
- No elevated privileges (`sudo` and similar are blocked)
- No reaching arbitrary internal network addresses
- No long-running dev servers
Think of it as a sealed workbench: useful for reproduce / inspect / explain loops, not for shipping changes on your behalf.
<CardGroup cols={2}>
<Card title="Acting in tools" icon="wrench" href="/company-brain/use-cases/acting-in-tools">
When the next step is a Linear issue or a PR lookup.
</Card>
<Card title="What you can do" icon="sparkles" href="/company-brain/use-cases/overview">
All the scenario walkthroughs.
</Card>
</CardGroup>

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@ -1,101 +0,0 @@
---
title: "From Support Ticket to Code Fix"
sidebarTitle: "Escalation"
description: "A Plain ticket gets triaged in Slack, and an @mention hands the fix to Cursor"
icon: "bug"
---
import { SlackThread, SlackMessage, Mention, FileAttachment, AgentLink, SlackUnfurl, SlackButton } from "/snippets/slack-message.mdx";
## The scenario
A customer files a ticket through Plain. It lands in `#support`, gets triaged with context Company Brain already has lying around, and — instead of someone manually filing a bug and waiting — an @mention hands the whole thing straight to Cursor.
## What happens
<SlackThread channel="#support" members={24}>
<SlackMessage
name="Plain"
badges={["APP"]}
hasAvatar
time="10:12 AM"
>
<img src="/images/company-brain/plain-icon.png" alt="" />
New conversation: <AgentLink href="#">rewriteQuery param not working</AgentLink>
<br />
**Jordan Alvarez** (acme-corp.io) sent a **new message**.
<SlackUnfurl footer="Added by Plain">
hi team, just tried the `rewriteQuery` param on the v3 search endpoint and it doesn't seem to actually do anything — tried a few different values, results look identical either way. can someone take a look
</SlackUnfurl>
</SlackMessage>
<SlackMessage bot hasAvatar time="10:13 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Confirmed, this is a real one — a couple of people have also flagged it on GitHub over the last week.
<br />
<br />
Quick context: v3 search is deprecated, but we've committed to legacy support through end of year, so it's still worth fixing rather than telling people to migrate. Most likely cause is a change <Mention>Adam</Mention> shipped last week to cut down query-rewrite costs — looks like it short-circuits before `rewriteQuery` gets applied in some cases.
<br />
<br />
<Mention>cursor</Mention> can you take this one? Full context attached.
<br />
<br />
<FileAttachment name="Context.md" />
</SlackMessage>
<SlackMessage
name="Cursor"
badges={["AGENT"]}
hasAvatar
time="10:14 AM"
>
<img src="/images/company-brain/cursor-icon.png" alt="" />
<AgentLink href="#">Agent thread started</AgentLink>
<br />
Reproducing against the v3 search test suite now.
</SlackMessage>
<SlackMessage
name="Cursor"
badges={["AGENT"]}
hasAvatar
time="10:19 AM"
>
<img src="/images/company-brain/cursor-icon.png" alt="" />
Fixed — `rewriteQuery` was getting skipped by the new cost short-circuit whenever a query was already cached. Pushed on <AgentLink href="#">#2312</AgentLink>.
<br />
<br />
**Resolution:**
<br />
• Scoped the short-circuit to skip only the rewrite step, not the whole `rewriteQuery` path
<br />
• Added a regression test covering `rewriteQuery` against a cache hit
<br />
<br />
**Repository:** `supermemoryai/mono`
<br />
<br />
<SlackButton variant="primary">Open in Web</SlackButton>
<SlackButton>Open in Desktop</SlackButton>
</SlackMessage>
<SlackMessage bot hasAvatar time="10:20 AM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
<Mention self>Dhravya</Mention> I'll let you review that and let the customer know we have a fix ready.
<br />
Please do it ASAP — it's an enterprise customer!
</SlackMessage>
</SlackThread>
## What's really going on
The first two turns are the same pattern as [Automatic Support](/company-brain/use-cases/support): the bot is already a member of `#support`, so it [chimes in](/company-brain/automations) unprompted, correlating the ticket against known GitHub issues and whatever it knows about the codebase and the v3 deprecation timeline.
The handoff to Cursor is different. That's not a chime-in — it's an explicit `@mention`, and Cursor is wired in as a [tool connector](/company-brain/connectors) (a custom MCP server, same as GitHub or Linear under the hood) that can act, not just answer. Naming it by name is what triggers the write: Company Brain hands off the attached context and Cursor opens its own agent thread against the repo, the same way a mention of GitHub or Linear in [Acting in Tools](/company-brain/use-cases/acting-in-tools) triggers a write rather than a read. Nothing happens in the codebase without that explicit ask.
Whether that handoff is even possible follows the same [permissions](/company-brain/permissions) rules as any other tool: it runs under whichever connection — personal or org-shared — is actually wired up for Cursor, and it's scoped to what that connection can see.
<CardGroup cols={2}>
<Card title="Acting in Tools" icon="wrench" href="/company-brain/use-cases/acting-in-tools">
How @mentions trigger writes instead of reads.
</Card>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Wire up Plain, GitHub, and custom MCP servers like Cursor.
</Card>
</CardGroup>

View file

@ -1,39 +0,0 @@
---
title: "Automatic Support"
sidebarTitle: "Support"
description: "Company Brain chimes in on customer questions with answers from docs and tickets"
icon: "headset"
---
import { SlackThread, SlackMessage } from "/snippets/slack-message.mdx";
## The scenario
A customer question lands in `#support`. Nobody has to @mention the bot — it already has the answer from past tickets and the help docs.
## What happens
<SlackThread channel="#support" members={24}>
<SlackMessage name="Maya" color="#2BAC76" time="2:14 PM">
customer on the Pro plan is asking if they can export their full memory graph as CSV — do we support that?
</SlackMessage>
<SlackMessage bot hasAvatar time="2:14 PM">
<img src="/images/company-brain/supermemory-slack-icon.png" alt="" />
Yes — **Settings → Export → Full graph (CSV)**. Available on Pro and above. Same answer went out on ticket PLN-1842 last week if you want the exact wording.
</SlackMessage>
</SlackThread>
## What's really going on
This is [proactiveness (chime-in)](/company-brain/automations) plus a connected support tool (Plain) and public channel memory. The bot is already a member of `#support` (an admin invited it — it never joins on its own). It decided the answer was clear enough to speak without being asked, pulled the export path from docs in public channel memory, and cited a recent ticket from Plain.
Same channel scope rules apply: a public support channel writes durable learnings back to public channel memory; a private support channel keeps them scoped to that room's own memory. See [Permissions](/company-brain/permissions).
<CardGroup cols={2}>
<Card title="Automations & proactiveness" icon="wand-magic-sparkles" href="/company-brain/automations">
How chime-in decides when to speak.
</Card>
<Card title="Connectors" icon="plug" href="/company-brain/connectors">
Wire up Plain and your help docs.
</Card>
</CardGroup>

View file

@ -56,7 +56,7 @@ Uploading a long PDF does more than store bytes: Supermemory derives many memori
## Properties and rules of memories ## Properties and rules of memories
1. Memories are atomic - Each memory has enough information and context about one particular topic 1. Memories are atomic - Each memory has enough information and context about one particular topic
2. They always build on top of each other - with `updates`, the model knows the history, a memory `extends` from other memories, and new facts are derived (`derives` relation) from existing knowledg.e 2. They always build on top of each other - with `updates`, the model knows the history, a memory `extends` from other memories, and new facts are derived (`derives` relation) from existing knowledge.
## Memory relationships ## Memory relationships

View file

@ -388,6 +388,8 @@
"pages": [ "pages": [
"integrations/openclaw", "integrations/openclaw",
"integrations/claude-code", "integrations/claude-code",
"integrations/cursor",
"integrations/grok-bot",
"integrations/opencode", "integrations/opencode",
"integrations/codex", "integrations/codex",
"integrations/hermes" "integrations/hermes"
@ -397,38 +399,6 @@
} }
], ],
"tab": "Plugins and MCP" "tab": "Plugins and MCP"
},
{
"tab": "Company Brain",
"groups": [
{
"group": "Concepts",
"pages": [
"company-brain/overview",
"company-brain/setup",
"company-brain/permissions",
"company-brain/connectors",
"company-brain/automations",
"company-brain/outside-slack"
]
},
{
"group": "What you can do",
"pages": [
"company-brain/use-cases/overview",
"company-brain/use-cases/support",
"company-brain/use-cases/incidents",
"company-brain/use-cases/support-escalation",
"company-brain/use-cases/meeting-recall",
"company-brain/use-cases/knowledge-recall",
"company-brain/use-cases/acting-in-tools",
"company-brain/use-cases/greeting",
"company-brain/use-cases/sandbox-debugging",
"company-brain/use-cases/long-horizon-research",
"company-brain/use-cases/meeting-scheduling"
]
}
]
} }
] ]
}, },
@ -957,6 +927,11 @@
"destination": "/overview/analytics", "destination": "/overview/analytics",
"permanent": true, "permanent": true,
"source": "/analytics" "source": "/analytics"
},
{
"destination": "/overview/what-is-supermemory",
"permanent": true,
"source": "/company-brain/:slug*"
} }
], ],
"styling": { "styling": {

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