Add mnemos to Knowledge & Memory

This commit is contained in:
Vishal Banwari
2026-09-08 11:15:48 +02:00
parent a62ccedb39
commit 2e2675fdde
+2
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@@ -2798,6 +2798,8 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [yuelinghuashu/story-cli](https://github.com/yuelinghuashu/story-cli) [![yuelinghuashu/story-cli MCP server](https://glama.ai/mcp/servers/yuelinghuashu/story-cli/badges/score.svg)](https://glama.ai/mcp/servers/yuelinghuashu/story-cli) 📇 🏠 🍎 🪟 🐧 - Git-native Markdown content management CLI with built-in MCP Server. Search, read, write, and govern story/paper/note repositories; auto-generate READMEs, validate configs, export EPUB, and prepare SFT/embedding training data. 9 tools, token-efficient. `npm i -g @yuelinghuashu/story-cli` - [yuelinghuashu/story-cli](https://github.com/yuelinghuashu/story-cli) [![yuelinghuashu/story-cli MCP server](https://glama.ai/mcp/servers/yuelinghuashu/story-cli/badges/score.svg)](https://glama.ai/mcp/servers/yuelinghuashu/story-cli) 📇 🏠 🍎 🪟 🐧 - Git-native Markdown content management CLI with built-in MCP Server. Search, read, write, and govern story/paper/note repositories; auto-generate READMEs, validate configs, export EPUB, and prepare SFT/embedding training data. 9 tools, token-efficient. `npm i -g @yuelinghuashu/story-cli`
- [ni-c/wikijs-mcp](https://github.com/ni-c/wikijs-mcp) [![ni-c/wikijs-mcp MCP server](https://glama.ai/mcp/servers/ni-c/wikijs-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ni-c/wikijs-mcp) 📇 🏠 🍎 🪟 🐧 - Search, read and edit a self-hosted [Wiki.js](https://js.wiki) 2.x, plus its assets, comments, users and groups (62 tools). Wiki.js' default search engine indexes only titles and descriptions, so `search_pages` names the active engine and `grep_pages` searches what is actually written in the pages. `update_page` compares against the moment you read a page and refuses to overwrite an edit saved in between; surgical find-and-replace must match exactly once. Read-only mode, a write path scope, and confirmation tokens on everything destructive. `npx -y @ni-c/wikijs-mcp` - [ni-c/wikijs-mcp](https://github.com/ni-c/wikijs-mcp) [![ni-c/wikijs-mcp MCP server](https://glama.ai/mcp/servers/ni-c/wikijs-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ni-c/wikijs-mcp) 📇 🏠 🍎 🪟 🐧 - Search, read and edit a self-hosted [Wiki.js](https://js.wiki) 2.x, plus its assets, comments, users and groups (62 tools). Wiki.js' default search engine indexes only titles and descriptions, so `search_pages` names the active engine and `grep_pages` searches what is actually written in the pages. `update_page` compares against the moment you read a page and refuses to overwrite an edit saved in between; surgical find-and-replace must match exactly once. Read-only mode, a write path scope, and confirmation tokens on everything destructive. `npx -y @ni-c/wikijs-mcp`
- [vishalbanwari26/mnemos](https://github.com/vishalbanwari26/mnemos) [![vishalbanwari26/mnemos MCP server](https://glama.ai/mcp/servers/vishalbanwari26/mnemos/badges/score.svg)](https://glama.ai/mcp/servers/vishalbanwari26/mnemos) 🐍 🏠 - Persistent memory with three swappable storage backends (Postgres/pgvector, Qdrant, Neo4j) behind one interface, benchmarked head-to-head for latency, not just claimed interchangeable. Retrieval weighting adapts per user via epsilon-greedy over real outcome feedback instead of a fixed formula. Reflection merges near-duplicate facts and decays/archives stale ones, audit-logged, never hard-deleted. Real before/after MCP eval: +60% answer accuracy with memory vs. without. `git clone` + `uv sync` (not yet on PyPI).
### ⚖️ <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.
- [ad0750/regintel-mcp](https://github.com/ad0750/regintel-mcp) [![regintel-mcp MCP server](https://glama.ai/mcp/servers/ad0750/regintel-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ad0750/regintel-mcp)🐍 ☁️ - MCP server for the RegIntel API: structured regulatory data across 41 jurisdictions and 212 regulations (GDPR, MiCA, DORA, SEC, FINRA, FCA, APRA, ASIC, MAS). Tools for search, lookup, recent updates, and compliance checks. - [ad0750/regintel-mcp](https://github.com/ad0750/regintel-mcp) [![regintel-mcp MCP server](https://glama.ai/mcp/servers/ad0750/regintel-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ad0750/regintel-mcp)🐍 ☁️ - MCP server for the RegIntel API: structured regulatory data across 41 jurisdictions and 212 regulations (GDPR, MiCA, DORA, SEC, FINRA, FCA, APRA, ASIC, MAS). Tools for search, lookup, recent updates, and compliance checks.