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ohad6k
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@@ -2392,6 +2392,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [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`
- [teflon07/memkeeper](https://github.com/teflon07/memkeeper) [![teflon07/memkeeper MCP server](https://glama.ai/mcp/servers/teflon07/memkeeper/badges/score.svg)](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` - [teflon07/memkeeper](https://github.com/teflon07/memkeeper) [![teflon07/memkeeper MCP server](https://glama.ai/mcp/servers/teflon07/memkeeper/badges/score.svg)](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`
- [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]'` - [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]'`
- [ohad6k/emulo](https://github.com/ohad6k/emulo) [![ohad6k/emulo MCP server](https://glama.ai/mcp/servers/ohad6k/emulo/badges/score.svg)](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`.
### ⚖️ <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.