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@@ -1286,7 +1286,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [epicsagas/alcove](https://github.com/epicsagas/alcove)[![alcove MCP server](https://glama.ai/mcp/servers/epicsagas/alcove/badges/score.svg)](https://glama.ai/mcp/servers/epicsagas/alcove) 🦀 🏠 🍎 🪟 🐧 - MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos. - [epicsagas/alcove](https://github.com/epicsagas/alcove)[![alcove MCP server](https://glama.ai/mcp/servers/epicsagas/alcove/badges/score.svg)](https://glama.ai/mcp/servers/epicsagas/alcove) 🦀 🏠 🍎 🪟 🐧 - MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
- [alibaizhanov/mengram](https://github.com/alibaizhanov/mengram) [![mengram MCP server](https://glama.ai/mcp/servers/@alibaizhanov/mengram/badges/score.svg)](https://glama.ai/mcp/servers/@alibaizhanov/mengram) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs. - [alibaizhanov/mengram](https://github.com/alibaizhanov/mengram) [![mengram MCP server](https://glama.ai/mcp/servers/@alibaizhanov/mengram/badges/score.svg)](https://glama.ai/mcp/servers/@alibaizhanov/mengram) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs.
- [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
- [bitatlas-group/bitatlas](https://github.com/bitatlas-group/bitatlas) 📇 ☁️ - Zero-Knowledge Cloud Drive for Humans and Agents. Client-side AES-256-GCM encryption with 7 MCP tools for encrypted file vault management — upload, download, search, and organize files that the server never sees in plaintext. - [bitatlas-group/bitatlas](https://github.com/bitatlas-group/bitatlas) [![bitatlas MCP server](https://glama.ai/mcp/servers/bitatlas-group/bitatlas/badges/score.svg)](https://glama.ai/mcp/servers/bitatlas-group/bitatlas) 📇 ☁️ - Zero-Knowledge Cloud Drive for Humans and Agents. Client-side AES-256-GCM encryption with 7 MCP tools for encrypted file vault management — upload, download, search, and organize files that the server never sees in plaintext.
- [besslframework-stack/project-tessera](https://github.com/besslframework-stack/project-tessera) [![project-tessera MCP server](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera/badges/score.svg)](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera) 🐍 🏠 🍎 🪟 🐧 - Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools. - [besslframework-stack/project-tessera](https://github.com/besslframework-stack/project-tessera) [![project-tessera MCP server](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera/badges/score.svg)](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera) 🐍 🏠 🍎 🪟 🐧 - Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.
- [bh-rat/context-awesome](https://github.com/bh-rat/context-awesome) 📇 ☁️ 🏠 - MCP server for querying 8,500+ curated awesome lists (1M+ items) and fetching the best resources for your agent. - [bh-rat/context-awesome](https://github.com/bh-rat/context-awesome) 📇 ☁️ 🏠 - MCP server for querying 8,500+ curated awesome lists (1M+ items) and fetching the best resources for your agent.
- [bitbonsai/mcp-obsidian](https://github.com/bitbonsai/mcp-obsidian) 📇 🏠 🍎 🪟 🐧 - Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant. - [bitbonsai/mcp-obsidian](https://github.com/bitbonsai/mcp-obsidian) 📇 🏠 🍎 🪟 🐧 - Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant.