Add memkeeper to Knowledge & Memory

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Steve
2026-06-28 11:24:19 -04:00
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@@ -2119,6 +2119,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [SVerITG/Metis](https://github.com/SVerITG/Metis) [![Metis MCP server](https://glama.ai/mcp/servers/SVerITG/Metis/badges/score.svg)](https://glama.ai/mcp/servers/SVerITG/Metis) 🐍 🏠 🍎 🪟 🐧 - A private, local research "second brain" for Claude: project-aware memory, cited answers from your own library (won't invent what it can't find), linked notes/meetings/ideas via a domain-specific knowledge layer, daily briefs (news + new papers in your field), a live meeting assistant, cross-pollination across your work, and 34 routed agents. A governed layer between you and the AI, with guardrails like data protection. A Research Cortex. - [SVerITG/Metis](https://github.com/SVerITG/Metis) [![Metis MCP server](https://glama.ai/mcp/servers/SVerITG/Metis/badges/score.svg)](https://glama.ai/mcp/servers/SVerITG/Metis) 🐍 🏠 🍎 🪟 🐧 - A private, local research "second brain" for Claude: project-aware memory, cited answers from your own library (won't invent what it can't find), linked notes/meetings/ideas via a domain-specific knowledge layer, daily briefs (news + new papers in your field), a live meeting assistant, cross-pollination across your work, and 34 routed agents. A governed layer between you and the AI, with guardrails like data protection. A Research Cortex.
- [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.
- [teflon07/memkeeper](https://github.com/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`
### ⚖️ <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.