Mem0

About

The Mem0 Model Context Protocol (MCP) server provides a standardized interface for interacting with the Mem0 Memory API. It allows any MCP-compatible client, such as Claude Desktop, Cursor, or custom AI agents, to perform comprehensive operations on long-term memories. Developers can leverage this server to seamlessly integrate advanced memory capabilities—including adding, searching, updating, and deleting memories—into their LLM applications and agents, enhancing conversational AI with persistent context. It supports various deployment modes, including local stdio, Smithery, and Docker.

Key Features

• Enumerate all stored users, agents, apps, and runs.
• Add text or conversation history as long-term memories for users/agents.
• Run as a local stdio process, hosted HTTP endpoint via Smithery, or a Docker container.
• Retrieve, update, or delete individual memories using their unique IDs.
• Perform semantic search across existing memories with filters and limits.
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• Manage and delete user, agent, application, or run entities and their associated memories.

Use Cases

• Deploying a scalable memory service as a hosted HTTP endpoint for various applications.
• Integrating long-term memory capabilities into AI assistants like Claude Desktop or Cursor.
• Developing custom AI agents that require persistent memory for enhanced context.