Add mnemoverse/mcp-memory-server under Knowledge & Memory

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Eduard
2026-06-18 14:36:10 +01:00
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commit 98624aa40b
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@@ -2053,6 +2053,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [tribal-memory/tribal](https://github.com/tribal-memory/tribal) [![tribal-memory/tribal MCP server](https://glama.ai/mcp/servers/tribal-memory/tribal/badges/score.svg)](https://glama.ai/mcp/servers/tribal-memory/tribal) 🦀 🏠 - Self-hosted semantic memory server, served over MCP, for an engineering team's tribal knowledge: the tacit decisions and hard-won reasoning behind the code, captured once and kept queryable for the team and the agents they work with. Postgres-backed (pgvector). - [tribal-memory/tribal](https://github.com/tribal-memory/tribal) [![tribal-memory/tribal MCP server](https://glama.ai/mcp/servers/tribal-memory/tribal/badges/score.svg)](https://glama.ai/mcp/servers/tribal-memory/tribal) 🦀 🏠 - Self-hosted semantic memory server, served over MCP, for an engineering team's tribal knowledge: the tacit decisions and hard-won reasoning behind the code, captured once and kept queryable for the team and the agents they work with. Postgres-backed (pgvector).
- [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) 📇 ☁️ - 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.
### ⚖️ <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.