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Merge pull request #2591 from elvismdev/add-mem0-mcp-selfhosted

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Add mem0-mcp-selfhosted to Knowledge & Memory
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Frank Fiegel
2026-03-12 23:23:27 -06:00
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@@ -1206,6 +1206,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [dodopayments/contextmcp](https://github.com/dodopayments/context-mcp) 📇 ☁️ 🏠 - Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.
- [doobidoo/MCP-Context-Provider](https://github.com/doobidoo/MCP-Context-Provider) 📇 🏠 - Static server that provides persistent tool-specific context and rules for AI models
- [doobidoo/mcp-memory-service](https://github.com/doobidoo/mcp-memory-service) 📇 🏠 - Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation
- [elvismdev/mem0-mcp-selfhosted](https://github.com/elvismdev/mem0-mcp-selfhosted) [glama](https://glama.ai/mcp/servers/elvismdev/mem0-mcp-selfhosted) 🐍 🏠 🍎 🪟 🐧 - Self-hosted mem0 MCP server for Claude Code with Qdrant vector search, Neo4j knowledge graph, and Ollama embeddings. Zero-config OAT auth, split-model graph routing, session hooks for automatic cross-session memory, and 11 tools. Supports both Anthropic and fully local Ollama setups.
- [Cartisien/engram-mcp](https://github.com/Cartisien/engram-mcp) [glama](https://glama.ai/mcp/servers/Cartisien/engram-mcp) 📇 🏠 🍎 🪟 🐧 - Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, and stats tools. Works with Claude Desktop, Cursor, and any MCP client.
- [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.
- [g1itchbot8888-del/agent-memory](https://github.com/g1itchbot8888-del/agent-memory) 🐍 🏠 - Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required.