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Merge pull request #8302 from Yarmoluk/add-ckg-mcp

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Add ckg-mcp (Compressed Knowledge Graphs) to Knowledge & Memory
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Frank Fiegel
2026-07-12 20:22:57 +02:00
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@@ -2142,6 +2142,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [syndicalt/zaxy](https://github.com/syndicalt/zaxy) [![syndicalt/zaxy MCP server](https://glama.ai/mcp/servers/syndicalt/zaxy/badges/score.svg)](https://glama.ai/mcp/servers/syndicalt/zaxy) 🐍 🏠 🍎 🪟 🐧 - Event-sourced agent memory on a hash-chained append-only log with an embedded temporal knowledge graph (Kuzu, no sidecar). Cited Memory Checkout context, salience-based forgetting that attenuates instead of deleting, compaction-recovery hooks for Claude Code, token-budgeted checkout, and review-gated consolidation. 47 MCP tools with an 8-tool core profile default. `pip install zaxy-memory` [Docs](https://docs.zaxy.io) - [syndicalt/zaxy](https://github.com/syndicalt/zaxy) [![syndicalt/zaxy MCP server](https://glama.ai/mcp/servers/syndicalt/zaxy/badges/score.svg)](https://glama.ai/mcp/servers/syndicalt/zaxy) 🐍 🏠 🍎 🪟 🐧 - Event-sourced agent memory on a hash-chained append-only log with an embedded temporal knowledge graph (Kuzu, no sidecar). Cited Memory Checkout context, salience-based forgetting that attenuates instead of deleting, compaction-recovery hooks for Claude Code, token-budgeted checkout, and review-gated consolidation. 47 MCP tools with an 8-tool core profile default. `pip install zaxy-memory` [Docs](https://docs.zaxy.io)
- [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`
### ⚖️ <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.