Custom Mem0

Custom Mem0 provides a robust, production-ready memory service designed to empower AI agents and applications with persistent memory capabilities. It fully integrates with the Model Context Protocol (MCP), offering a standardized interface for agents to store, retrieve, update, and delete memories. Developers can choose between Neo4j for rich, graph-based memory relationships or Qdrant for high-performance vector similarity search, with pgvector handling embeddings. The service is containerized with Docker for easy deployment, includes comprehensive health monitoring, and features robust backup and recovery strategies, making it suitable for both development and production environments requiring personalized and context-aware AI interactions.

Key Features

Use Cases