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Mem0

bycoleam00
•
492
Developer Tools
Other
Data Science & ML

Provides long-term memory capabilities to AI agents through a Model Context Protocol (MCP) server.

About

This project provides a template implementation of an MCP server integrated with Mem0, enabling AI agents to store, retrieve, and search memories using semantic search. It serves as a practical template for creating MCP servers, following Anthropic's best practices for seamless integration with any MCP-compatible client. The server offers memory management tools like saving, retrieving, and searching memories using semantic indexing, making it a valuable resource for developers looking to enhance AI agent capabilities.

Key Features

  • Stores information in long-term memory with semantic indexing.
  • Retrieves all stored memories for comprehensive context.
  • Finds relevant memories using semantic search.
  • Supports SSE and stdio transports.
  • Integrates with OpenAI, OpenRouter, and Ollama LLM providers.
  • 207 GitHub stars

Use Cases

  • Building AI agents with persistent memory.
  • Creating MCP servers for memory management.
  • Integrating AI agents with MCP-compatible clients.
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