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Merge pull request #2080 from singularityjason/add-omega-memory

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Add omega-memory to Knowledge & Memory
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Frank Fiegel
2026-02-18 04:57:07 +09:00
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@@ -1047,6 +1047,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
- [nonatofabio/local-faiss-mcp](https://github.com/nonatofabio/local_faiss_mcp) 🐍 🏠 🍎 🐧 - Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying
- [olgasafonova/mediawiki-mcp-server](https://github.com/olgasafonova/mediawiki-mcp-server) 🏎️ ☁️ 🏠 🍎 🪟 🐧 - Connect to any MediaWiki wiki (Wikipedia, Fandom, corporate wikis). 33+ tools for search, read, edit, link analysis, revision history, and Markdown conversion. Supports stdio and HTTP transport.
- [omega-memory/omega-memory](https://github.com/omega-memory/omega-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 12 MCP tools, local-first.
- [pallaprolus/mendeley-mcp](https://github.com/pallaprolus/mendeley-mcp) 🐍 ☁️ - MCP server for Mendeley reference manager. Search your library, browse folders, get document metadata, search the global catalog, and add papers to your collection.
- [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents.
- [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.