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Add threadctx-mcp to Knowledge & Memory

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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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2026-07-10 21:45:52 -04:00
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@@ -2110,6 +2110,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [stevepridemore/graph-memory](https://github.com/stevepridemore/graph-memory) [![stevepridemore/graph-memory MCP server](https://glama.ai/mcp/servers/stevepridemore/graph-memory/badges/score.svg)](https://glama.ai/mcp/servers/stevepridemore/graph-memory) 📇 🏠 ☁️ 🍎 🪟 🐧 - Personal knowledge graph for Claude on Neo4j. Typed entities (Person/Project/Decision/Preference/Concept), bi-temporal edge validity (`valid_at`/`invalid_at`), per-type weighted decay, contradiction detection, and a nightly "dream" extraction process. Local bge-small-en embeddings, no API keys. Optional OAuth 2.1 + Cloudflare Tunnel for cross-device use across Claude Code, Desktop, web, and iOS. - [stevepridemore/graph-memory](https://github.com/stevepridemore/graph-memory) [![stevepridemore/graph-memory MCP server](https://glama.ai/mcp/servers/stevepridemore/graph-memory/badges/score.svg)](https://glama.ai/mcp/servers/stevepridemore/graph-memory) 📇 🏠 ☁️ 🍎 🪟 🐧 - Personal knowledge graph for Claude on Neo4j. Typed entities (Person/Project/Decision/Preference/Concept), bi-temporal edge validity (`valid_at`/`invalid_at`), per-type weighted decay, contradiction detection, and a nightly "dream" extraction process. Local bge-small-en embeddings, no API keys. Optional OAuth 2.1 + Cloudflare Tunnel for cross-device use across Claude Code, Desktop, web, and iOS.
- [SubDownload/subdownload-mcp](https://github.com/SubDownload/subdownload-mcp) [![SubDownload/subdownload-mcp MCP server](https://glama.ai/mcp/servers/SubDownload/subdownload-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SubDownload/subdownload-mcp) 🏎️ ☁️ 🍎 🪟 🐧 - YouTube knowledge base for AI agents. Summarize videos, fetch full transcripts (including videos without captions, via AI ASR), search channels and playlists, and save everything into a per-user knowledge base for cross-session recall. OAuth 2.1 with Dynamic Client Registration. Hosted at [subdownload.com](https://subdownload.com?utm_source=gthb_awesome_9jqqed&utm_medium=code&utm_campaign=Awesome). `https://api.subdownload.com/mcp`, free credits on signup. - [SubDownload/subdownload-mcp](https://github.com/SubDownload/subdownload-mcp) [![SubDownload/subdownload-mcp MCP server](https://glama.ai/mcp/servers/SubDownload/subdownload-mcp/badges/score.svg)](https://glama.ai/mcp/servers/SubDownload/subdownload-mcp) 🏎️ ☁️ 🍎 🪟 🐧 - YouTube knowledge base for AI agents. Summarize videos, fetch full transcripts (including videos without captions, via AI ASR), search channels and playlists, and save everything into a per-user knowledge base for cross-session recall. OAuth 2.1 with Dynamic Client Registration. Hosted at [subdownload.com](https://subdownload.com?utm_source=gthb_awesome_9jqqed&utm_medium=code&utm_campaign=Awesome). `https://api.subdownload.com/mcp`, free credits on signup.
- [TechDocsStudio/biel-mcp](https://github.com/TechDocsStudio/biel-mcp) 📇 ☁️ - Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server. - [TechDocsStudio/biel-mcp](https://github.com/TechDocsStudio/biel-mcp) 📇 ☁️ - Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.
- [threadctx-dev/threadctx-mcp](https://github.com/threadctx-dev/threadctx-mcp) [![threadctx-dev/threadctx-mcp MCP server](https://glama.ai/mcp/servers/threadctx-dev/threadctx-mcp/badges/score.svg)](https://glama.ai/mcp/servers/threadctx-dev/threadctx-mcp) 📇 🏠 ☁️ 🍎 🪟 🐧 - Shared team memory for AI coding agents. Decisions, fixes, and gotchas persist per repo and are shared across Claude Code, Cursor, and any MCP client — what one teammate's agent learns, everyone's agents remember. Local-first, zero-dependency. `npx -y threadctx-mcp`
- [tomohiro-owada/devrag](https://github.com/tomohiro-owada/devrag) 🏎️ 🏠 🍎 🪟 🐧 - Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns. - [tomohiro-owada/devrag](https://github.com/tomohiro-owada/devrag) 🏎️ 🏠 🍎 🪟 🐧 - Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.
- [topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources - [topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
- [timowhite88/farnsworth-syntek](https://github.com/timowhite88/farnsworth-syntek) 📇 ☁️ - 7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition. - [timowhite88/farnsworth-syntek](https://github.com/timowhite88/farnsworth-syntek) 📇 ☁️ - 7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.