Mem0 (Long-Term Memory)
Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for mult
MCP-Mem0 is a server implementation that integrates Mem0's long-term memory capabilities with AI agents through the Model Context Protocol. Developed by Cole Medin, it provides three essential memory management tools: storing information with semantic indexing, retrieving all stored memories, and finding relevant memories using semantic search. The server supports multiple LLM providers (OpenAI, OpenRouter, Ollama) and uses PostgreSQL for vector storage, making it particularly valuable for applications requiring persistent memory across conversations, such as personal assistants, knowledge management systems, or any AI agent that needs to recall past interactions and information.
Source
Repository: https://github.com/coleam00/mcp-mem0
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