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@@ -2393,6 +2393,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [Yarmoluk/ckg-mcp](https://github.com/Yarmoluk/ckg-mcp) [](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`
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- [teflon07/memkeeper](https://github.com/teflon07/memkeeper) [](https://glama.ai/mcp/servers/teflon07/memkeeper) 🦀 🏠 🍎 🐧 - Local-first memory for AI agents: a single self-contained Rust binary over one SQLite file. Hybrid BM25/FTS + on-device ONNX embeddings + cross-encoder rerank; abstains instead of returning a confident wrong memory. No server, no API key, zero marginal cost. `memkeeper mcp`
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- [yamantaka520/Agent-Memory-OS](https://github.com/yamantaka520/Agent-Memory-OS) [](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]'`
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- [ohad6k/emulo](https://github.com/ohad6k/emulo) [](https://glama.ai/mcp/servers/ohad6k/emulo) 🐍 🏠 - Loads your personal profile, mined from your local Claude Code/Codex/OpenCode logs, so your agent works like you instead of a cold start. One tool, `load_emulo_profile`. Run with `uvx emulo mcp`.
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### ⚖️ <a name="legal"></a>Legal
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Access to legal information, legislation, and legal databases. Enables AI models to search and analyze legal documents and regulatory information.
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