MCP-Mem0: Building a Private Server for Cross-Application AI Memory Sharing

What is MCP – Mem0?

MCP-Mem0 is an open-source Python project designed to provide persistent and private memory storage for AI clients supporting the Model Context Protocol (MCP). It integrates with the Mem0 platform, enabling AI agents to share contextual information across different applications, thus facilitating intelligent collaboration across sessions and tools. MCP-Mem0 serves as a fully featured memory server and a template for developers to build custom MCP servers.

Core Features

• Long-term Memory Storage and Semantic Indexing:
  Through the save_memory tool, AI agents can store information semantically in a database, supporting multiple LLM providers such as OpenAI, OpenRouter, Ollama, and PostgreSQL vector storage.

• Memory Retrieval and Semantic Search:
  Tools like get_all_memories and search_memories allow agents to retrieve all stored memories or find relevant memories via semantic search, enhancing context awareness.

• Standardized API Interface:
  Provides unified APIs such as add_memories, search_memory, list_memories, and delete_all_memories to facilitate integration and extension by developers.

• Local Private Storage:
  All data is stored locally on the user’s device, ensuring data privacy and security without the risks of cloud synchronization.

• Centralized Dashboard:
  Offers a unified interface for users to view and manage memories, improving user experience.

• Easy Deployment:
  Supports Docker-based setup for quick and vendor-independent deployment, ideal for developers.

Technical Principles

• Python 3.12+: Chosen as the development language for ease of maintenance and extensibility.

• FastMCP: A framework to build MCP servers following Anthropic’s best practices.

• Mem0: Provides persistent memory storage and semantic search capabilities.

• PostgreSQL or Supabase: Used for storing vector data, enabling efficient semantic retrieval.

• Docker: Used for containerized deployment to simplify environment setup and execution.

Project Links

• GitHub Repository: https://github.com/coleam00/mcp-mem0

• Official Documentation: https://docs.mem0.ai/openmemory/overview

Application Scenarios

• Multi-tool Collaborative Development:
  When using multiple AI tools like Cursor, Claude, Windsurf, and Cline, MCP-Mem0 facilitates cross-tool context sharing to boost productivity.

• Customized AI Assistants:
  Provides persistent memory capabilities for AI assistants, allowing them to remember user preferences and past interactions for personalized service.

• Intelligent Project Management:
  Helps record and share project-related information during management, promoting better team collaboration.

• Developer Tool Integration:
  Integrates with developer tools to enable intelligent code completion, documentation generation, and improve coding efficiency.

• Education and Training:
  Supports tracking learning progress and feedback, enabling personalized learning experiences in educational settings.