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Add AgentMemoryOS to Knowledge & Memory

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Manfred Hsu
2026-07-14 21:37:58 +08:00
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@@ -2254,6 +2254,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [mnemoverse/mcp-memory-server](https://github.com/mnemoverse/mcp-memory-server) [![mnemoverse/mcp-memory-server MCP server](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server/badges/score.svg)](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server) 📇 ☁️ - Hosted memory that learns and forgets — feedback re-ranks what helps, recall fades by recency, similar memories consolidate. One key across Claude, Cursor, VS Code & ChatGPT. - [mnemoverse/mcp-memory-server](https://github.com/mnemoverse/mcp-memory-server) [![mnemoverse/mcp-memory-server MCP server](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server/badges/score.svg)](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server) 📇 ☁️ - Hosted memory that learns and forgets — feedback re-ranks what helps, recall fades by recency, similar memories consolidate. One key across Claude, Cursor, VS Code & ChatGPT.
- [VonderVuflya/Yggdrasil](https://github.com/VonderVuflya/Yggdrasil) [![VonderVuflya/Yggdrasil MCP server](https://glama.ai/mcp/servers/VonderVuflya/Yggdrasil/badges/score.svg)](https://glama.ai/mcp/servers/VonderVuflya/Yggdrasil) 🐍 🏠 🍎 🪟 🐧 - Durable, local-first memory for AI coding agents over MCP. Zero-dependency (pure Python + SQLite/FTS5), curated and semantically de-duped — you own the data as plain rows. Works with Claude Code, Codex & any MCP host. `uvx --from yggdrasil-memory ygg mcp` - [VonderVuflya/Yggdrasil](https://github.com/VonderVuflya/Yggdrasil) [![VonderVuflya/Yggdrasil MCP server](https://glama.ai/mcp/servers/VonderVuflya/Yggdrasil/badges/score.svg)](https://glama.ai/mcp/servers/VonderVuflya/Yggdrasil) 🐍 🏠 🍎 🪟 🐧 - Durable, local-first memory for AI coding agents over MCP. Zero-dependency (pure Python + SQLite/FTS5), curated and semantically de-duped — you own the data as plain rows. Works with Claude Code, Codex & any MCP host. `uvx --from yggdrasil-memory ygg mcp`
- [Yarmoluk/ckg-mcp](https://github.com/Yarmoluk/ckg-mcp) [![Yarmoluk/ckg-mcp MCP server](https://glama.ai/mcp/servers/Yarmoluk/ckg-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Yarmoluk/ckg-mcp) 🐍 🏠 - Compressed Knowledge Graphs (pre-structured dependency DAGs) as MCP context — agents traverse declared edges instead of inferring from text. Open CKG Benchmark (64 domains, 10,838 queries): 3.8× RAG's F1 at 11× fewer tokens, ~42× RDS, 0 fabricated edges by construction. 97 domains, 4 tools, no DB/embeddings. `pip install ckg-mcp` - [Yarmoluk/ckg-mcp](https://github.com/Yarmoluk/ckg-mcp) [![Yarmoluk/ckg-mcp MCP server](https://glama.ai/mcp/servers/Yarmoluk/ckg-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Yarmoluk/ckg-mcp) 🐍 🏠 - Compressed Knowledge Graphs (pre-structured dependency DAGs) as MCP context — agents traverse declared edges instead of inferring from text. Open CKG Benchmark (64 domains, 10,838 queries): 3.8× RAG's F1 at 11× fewer tokens, ~42× RDS, 0 fabricated edges by construction. 97 domains, 4 tools, no DB/embeddings. `pip install ckg-mcp`
- [yamantaka520/Agent-Memory-OS](https://github.com/yamantaka520/Agent-Memory-OS) [![yamantaka520/Agent-Memory-OS MCP server](https://glama.ai/mcp/servers/yamantaka520/Agent-Memory-OS/badges/score.svg)](https://glama.ai/mcp/servers/yamantaka520/Agent-Memory-OS) 🐍 🏠 🍎 🪟 🐧 - Local-first memory engine for AI-agent teams: private/team/project ACL (a hard gate before ranking), associative recall, and federated sync where revocation propagates across nodes. SQLite + FTS5, no LLM required; MCP server + web console included. `pip install 'agent-memory-os[mcp]'`
### ⚖️ <a name="legal"></a>Legal ### ⚖️ <a name="legal"></a>Legal
Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information. Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information.