mcp-mem0
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A template implementation of the Model Context Protocol (MCP) server integrated with Mem0 for providing AI agents with persistent memory capabilities.
MCP-Mem0 is a template implementation of a Model Context Protocol (MCP) server that integrates with Mem0 to provide AI agents with long-term memory capabilities. This project serves as a reference for building MCP servers, allowing AI agents to store, retrieve, and search memories using semantic search. It follows best practices for MCP server development, ensuring compatibility with any MCP-compatible client. The server is designed to be easily configurable and deployable, with support for different transport protocols and integration with various LLM providers. It is built using Python and can be run as a standalone application or within a Docker container.
Features
- save_memory: Store any information in long-term memory with semantic indexing.
- get_all_memories: Retrieve all stored memories for comprehensive context.
- search_memories: Find relevant memories using semantic search.
Tools
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