Add AgentMemoryOS to Knowledge & Memory

2026-07-26 00:51:46 +00:00 · 2026-07-14 21:37:58 +08:00
parent 79cca3e78c
commit f54778487c
1 changed files with 1 additions and 0 deletions
@@ -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.
 - [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`
+- [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
 Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information.