## Stack context
This is the first PR in the V5 documentation stack. The migration guide and local-development wrapper build on it.
## What and why
Add Legacy and Latest versions to the API Reference navigation, organize all V5 operations by user workflow, and introduce concise overview pages for each domain. The Latest reference consumes the authoritative `/v5/openapi` document published by the Mono API stack.
```mermaid
flowchart LR
Legacy[Legacy V3/V4 OpenAPI] --> Selector[Reference version selector]
V5[V5 OpenAPI] --> Selector
Selector --> Pages[Version-specific endpoint pages]
```
The `GET /ns` compatibility alias remains in the OpenAPI document but is intentionally omitted from navigation in favor of `GET /namespaces`.
## Validation
- Parsed `docs.json` successfully with `jq`.
- Compared navigation against the generated V5 schema: 22 displayed operations, 23 schema operations, with only `GET /ns` intentionally omitted.
- Mintlify build validation passed against the local generated V5 OpenAPI snapshot.
## Deployment dependency
The committed source is `https://api.supermemory.ai/v5/openapi`, which returns 404 until Mono PR #3306 and its API stack are deployed. Merge this PR after that endpoint is live.
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
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.
Adds a focused guide for backfilling dated documents with `documentDate` and the batch ingestion API.
- includes TypeScript and Python batch examples plus optional completion polling
- links the guide from the docs navigation and ingestion entry points
Validated with `bunx mintlify@latest validate` and `bunx mintlify@latest broken-links`.
Updates the Supermemory MCP docs for the revamped tool, space, widget, and OAuth flows.
- adds a screenshot-backed ChatGPT Web setup guide with light and dark variants
- refreshes the overview, setup, tools, spaces, and widget docs
- keeps manual JSON configuration in a dropdown
Tested all four local MCP docs routes and image references.
for mcp image light mode -> dark mode images and dark mode has light mode (since the background was blending in i made this way to refocus user attention on the screenshots)
Fixes broken docs navigation and asset paths from the site audit.
- serves docs images from `/images` and adds the missing Cartesia icon
- corrects homepage, console, and LinkedIn destinations
- removes agent-only comparison headings from the web TOC
Tested with Mintlify validate and Mintlify broken-links.
### TL;DR
Adds documentation for the Memory Review endpoints and Profile Buckets feature.
### What changed?
**Memory Review (`memory-review.mdx`)**
- Added a new documentation page covering the two inferred memory review endpoints: `GET /v3/container-tags/{containerTag}/inferred` and `POST /v3/container-tags/{containerTag}/inferred/{memoryId}/review`.
- Documents the three review actions (`approve`, `decline`, `undo`) and how each affects search ranking and memory state (`isInference`, `isForgotten`, `reviewStatus`).
- Includes request/response examples in both `fetch` and cURL, a field reference table, error codes, and a collapsible React Query hooks example for building a review UI.
- Registered the new page in `docs.json` under the "Manage Content" group and linked to it from the Memory Operations next steps.
**Profile Buckets (`user-profiles.mdx`)**
- Added a "Profile Buckets" section explaining custom topical categories (`preferences`, `goals`, `work`, etc.) as a complement to `static`/`dynamic` profile sections.
- Documents the `include`, `buckets`, and `filters` query parameters on the profile endpoint.
- Covers the `GET /v4/profile/buckets` endpoint for listing configured bucket definitions, with request/response examples and a field reference.
- Explains the `[Recent]` / `[Summary]` label convention used in bucket and dynamic profile entries.
- Updated the `ProfileResponse` TypeScript interface to mark `static` and `dynamic` as optional and add the `buckets` field.
### How to test?
- Navigate to the docs site and confirm "Memory Review" appears in the sidebar under "Manage Content".
- Verify all code examples render correctly and tabs switch between `fetch` and cURL variants.
- Confirm the React Query accordion expands and displays the TypeScript snippet.
- Check that the Profile Buckets section renders inline within the User Profiles page, including the response JSON blocks and the tip/note callouts.
### Why make this change?
Inferred (derived) graph memories are down-weighted in search until reviewed, but there was no documentation explaining how to surface or act on them. Similarly, profile buckets were a shipped feature with no public-facing docs. These additions give developers the reference material needed to build review UIs and use topical bucket filtering in their integrations.
- Published the v2.0.0 docs and a 1.4 → 2.0 migration guide so existing users have a clear upgrade path.
- Updated the four integration pages (AI SDK, OpenAI, Mastra, VoltAgent) to reflect v2 defaults and link to the migration guide.
- Added a short explainer on the two required fields (containerTag, customId) so new users aren't blocked at first integration.
Single-page changelog covering Feb 2024 through Mar 2026 with filterable
tags (API, SDK, Console, MCP, CLI, Integrations). Replaces the split
overview/developer-platform pages. Adds redirect for old URL.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
## Summary
This PR introduces comprehensive Supermemory integration for the Microsoft Agent Framework, providing three complementary approaches to add persistent memory capabilities to agents: middleware for automatic memory injection, context providers for session-based memory management, and tools for explicit memory operations.
## Key Changes
- **SupermemoryChatMiddleware**: Automatic memory injection middleware that fetches relevant memories from Supermemory before LLM calls and optionally saves conversations. Supports three modes:
- `"profile"`: Injects all static and dynamic profile memories
- `"query"`: Searches for memories relevant to the current user message
- `"full"`: Combines both profile and query modes
- **SupermemoryContextProvider**: Idiomatic context provider following the Agent Framework pattern (similar to built-in Mem0 integration). Integrates with the session pipeline via `before_run()` and `after_run()` hooks for automatic memory retrieval and storage.
- **SupermemoryTools**: FunctionTool-compatible tools that agents can use for explicit memory operations:
- `search_memories()`: Search for specific memories
- `add_memory()`: Add new memories
- `get_profile()`: Retrieve user profile
- **Utility Functions**: Helper functions for:
- Memory deduplication across static, dynamic, and search result sources
- Profile-to-markdown conversion for LLM consumption
- Message extraction and conversation formatting
- Logging with configurable verbosity
- **Exception Hierarchy**: Custom exceptions for better error handling:
- `SupermemoryConfigurationError`: Missing/invalid configuration
- `SupermemoryAPIError`: API request failures
- `SupermemoryNetworkError`: Network connectivity issues
- `SupermemoryMemoryOperationError`: Memory operation failures
- **Comprehensive Documentation**: README with quick start examples, configuration options, and API reference for all three integration approaches.
- **Test Suite**: Unit tests covering middleware, context provider, tools, and utility functions with proper mocking and error scenarios.
## Implementation Details
- Supports both async (aiohttp) and sync (requests) HTTP clients with automatic fallback
- Handles multiple message formats (dict, objects with attributes, content arrays)
- Configurable memory storage with optional conversation grouping via `conversation_id`
- Environment variable fallback for API key configuration (`SUPERMEMORY_API_KEY`)
- Background task management for non-blocking memory operations in middleware
- Proper async/sync compatibility for the Supermemory SDK
https://claude.ai/code/session_012idB5y6UGK3zmeFULgTc4z
Add entity context documentation to customization and add-memories pages, remove nav icons from Developer Platform, fix install.md parsing error
Changes:
- Remove icons from Developer Platform subheadings (Getting Started, Concepts, Using supermemory, Connectors and sync, Migration Guides)
- Add Entity Context section to customization page with usage example and accordion for advanced API
- Add entityContext parameter to add-memories Parameters table and examples accordion
- Fix MDX parsing error in install.md (wrap curly braces in backticks)
Add documentation for using Supermemory with OpenAI Agents SDK
and CrewAI. Both pages cover user profiles, memory storage,
search, and include practical examples.
adds withSupermemory wrapper and input/output processors for
mastra agents:
- input processor fetches and injects memories into system prompt
before llm calls
- output processor saves conversations to supermemory after
responses
- supports profile, query, and full memory search modes
- includes custom prompt templates and requestcontext support
const agent = new Agent(withSupermemory(
{ id: "my-assistant", model: openai("gpt-4o"), instructions:
"..." },
"user-123",
{ mode: "full", addMemory: "always", threadId: "conv-456" }
))
includes docs as well
this pr also reworks how the tools package works into shared modules
Clawdbot docs
Changes:
- Added integrations/clawdbot.mdx — ClawdBot Supermemory Plugin documentation page with shrimp icon
- Added "Plugins" group to the bottom of the Integrations sidebar in docs.json
- Page covers: API key setup (zsh/bash/PowerShell), plugin install, how it works (auto-recall/auto-capture), features (AI
tools, slash commands, CLI), manual configuration, and advanced options
Add comprehensive documentation for the S3 connector including:
- Quick setup with TypeScript, Python, and cURL examples
- S3-compatible services support (MinIO, DigitalOcean Spaces, R2)
- Prefix filtering and dynamic container tag extraction
- Connection management and sync behavior
- IAM permissions and security best practices
