What is MCP-Mem0?
MCP-Mem0 is a template implementation of the Model Context Protocol server integrated with Mem0, designed to provide AI agents with long-term memory capabilities.
How does MCP-Mem0 enhance AI agents?
It enables AI agents to store, retrieve, and search memories using semantic search, enhancing their ability to learn and adapt over time.
What are the prerequisites for installing MCP-Mem0?
You’ll need Python 3.12+, a PostgreSQL database, API keys for LLM providers, and Docker for containerized deployment.
Can MCP-Mem0 be integrated with the UBOS platform?
Yes, MCP-Mem0 can be integrated with UBOS to enhance AI agent orchestration and connectivity with enterprise data.
What are the key features of MCP-Mem0?
The key features include saving memory with semantic indexing, retrieving all stored memories, and searching memories using semantic search.
Long-Term Memory for AI Agents
Project Details
- coleam00/mcp-mem0
- MIT License
- Last Updated: 4/18/2025
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