apps/docs/integrations/memory-graph.mdx and apps/memory-graph-playground/README.md
documented an older version of the @supermemory/memory-graph public API. Following
the Quick Start, Props Reference, or Exports section as written produced code that
either fails to type-check or silently drops props the component no longer has.
Verified against packages/memory-graph/src/{index.tsx,types.ts,api-types.ts,mock-data.ts,
constants.ts} and cross-checked the API normalization logic against two independent
real call sites: apps/web/components/memory-graph/hooks/use-graph-api.ts and
apps/memory-graph-playground/src/app/page.tsx.
- Exports section listed Legend, NodeDetailPanel, SpacesDropdown, useGraphInteractions,
colors, LAYOUT_CONSTANTS - none of these are actually exported. Corrected to the
real exports and added the previously-undocumented ./mock-data subpath.
- All examples used loadMoreDocuments/totalLoaded/selectedSpace/onSpaceChange/
showSpacesSelector, none of which exist on MemoryGraphProps. Corrected to
onLoadMore/totalCount and removed the Controlled Space Selection example
(that feature no longer exists on the component).
- documents was typed as DocumentWithMemories[] with a fabricated shape; the real
prop type is GraphApiDocument[]. Added a toGraphDocument mapping example grounded
in the real production code that talks to /v3/documents/documents.
- Rewrote Props Reference and Data Types to match the real MemoryGraphProps and
GraphApiDocument/GraphApiMemory interfaces field-for-field, including several
real props that weren't documented at all before.
- Removed the false 'space selector visible/hidden' claim from the Variants section
(no such component exists anywhere in packages/memory-graph/src); kept the 0.8x/0.5x
zoom figures, which checked out against constants.ts.
- Made the Pages Router and Express tabs in Backend API Route self-contained (each
defines its own toGraphDocument mapping) instead of depending on code shown only
in the App Router tab, since CodeGroup tabs are alternatives a reader copies
individually.
- Applied the identical corrections to apps/memory-graph-playground/README.md,
which had the same drift independently.
Address Graphite automated review feedback:
- Set the content field in all three toGraphDocument mappings (was a valid but
unpopulated field on GraphApiMemory). Confirmed via use-graph-data.ts that it's
inert for rendering (always overwritten with mem.memory before draw), so this
wasn't visible data loss, but it's a free fix that matches the type exactly.
- Replaced the (data.documents as RawDocument[]) cast with a proper
RawDocumentsResponse type annotation on data in the App Router and Pages Router
tabs, per the custom TypeScript style rule Graphite flagged. Implemented what
the comment's prose described rather than its literal suggested diff, which
would have just deleted the cast and left data as any.
Docs-only change, no .ts/.tsx files touched. This repo's biome.json has no
Markdown/MDX support configured, so format-lint doesn't apply here; checked
fence and MDX-component balance by hand instead (34 fence lines, all CodeGroup/
Note/Warning/Card tags balanced 1:1).
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.
## Summary
- Rename the Claude Code plugin docs references from `claude-supermemory` / `Claude-Supermemory` to `supermemory`
- Update install and command examples to use `/plugin install supermemory` and `/supermemory:logout`
## Testing
- Ran `git diff --check`
---
**Session Details**
- Session: [View Session](https://supermemory.us1.vorflux.com/agent-sessions/cc17c7ae-0fb2-4e2c-bb4c-20a66900d720)
- Requested by: Sreeram Sreedhar (sreeram@supermemory.com)
- Address comments on this PR. Add `(aside)` to your comment to have me ignore it.
- 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.
**`withSupermemory`** **(AI SDK)**
- **`skipMemoryOnError`** **defaults to** **`true`**. memory errors/timeouts log and the model runs on the **original** prompt unless you set `skipMemoryOnError: false`.
- **Pre-LLM** **`/v4/profile`** **is aborted after 5s** via `AbortSigna`
**Docs**
- `packages/tools/README.md`, **`apps/docs/integrations/ai-sdk.md`**
### TL;DR
Added Python SDK for integrating Supermemory with Cartesia Line voice agents, enabling persistent memory capabilities.
### What changed?
Created a new Python SDK package (`supermemory_cartesia`) that provides:
- `SupermemoryCartesiaAgent` wrapper class that enhances Cartesia Line agents with memory capabilities
- Memory retrieval and storage functionality that integrates with the Supermemory API
- Utility functions for memory formatting, deduplication, and time formatting
- Custom exception classes for error handling
- Comprehensive documentation and type hints
The implementation includes:
- Memory enrichment for user queries
- Automatic storage of conversation history
- Configurable memory retrieval modes (profile, query, full)
- Background processing to avoid blocking the main conversation flow
### How to test?
```python
from supermemory_cartesia import SupermemoryCartesiaAgent
from line.llm_agent import LlmAgent, LlmConfig
import os
# Create base LLM agent
base_agent = LlmAgent(
model="gemini/gemini-2.5-flash-preview-09-2025",
config=LlmConfig(
system_prompt="You are a helpful assistant.",
introduction="Hello!"
)
)
# Wrap with Supermemory
memory_agent = SupermemoryCartesiaAgent(
agent=base_agent,
api_key=os.getenv("SUPERMEMORY_API_KEY"),
user_id="user-123",
)
# Use memory_agent in your Cartesia Line application
```
### Why make this change?
This SDK enables Cartesia Line voice agents to maintain persistent memory across conversations, enhancing user experience by:
1. Providing contextual awareness of past interactions
2. Remembering user preferences and important information
3. Reducing repetition in conversations
4. Creating more personalized and natural voice interactions
The integration is designed to be lightweight and non-blocking, ensuring that memory operations don't impact the responsiveness of voice interactions.
## 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 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
#### RE-RAISING Pipecat live speech PR
### Added native speech-to-speech model support
### Summary:
- Speech-to-speech support - Auto-detect audio frames and inject memories to system prompt for native audio models (Gemini Live, etc.)
- Fix memory bloating - Replace memories each turn using XML tags instead of accumulating
- Add temporal context - Show recency on search results ([2d ago], [15 Jan])
- New inject_mode param - auto (default), system, or user
### Docs update
- Update the docs for native speech-2-speech models
