Self-Hosting Mem0: A Complete Docker Deployment Guide

Mem0’s open-source self-hosted deployment enables organizations to keep AI-assistant memory infrastructure on their own network using Docker containers for a FastAPI REST API, PostgreSQL with pgvector for embedding-based search, and Neo4j for entity and relationship graphs. The default configuration uses OpenAI models to extract facts and create embeddings, but Ollama can replace both components for offline operation, provided the vector-store embedding dimensions are configured correctly and existing incompatible embeddings are recreated. The REST API supports adding, searching, listing, and deleting user memories, while a Python SDK can connect directly to the underlying databases. The guide notes that the default installation is intended for development, since it exposes services broadly, lacks built-in authentication, uses permissive CORS, and includes default credentials; production deployments should restrict ports to localhost, place an authenticated TLS reverse proxy in front of the API, secure secrets, impose resource and logging limits, and maintain backups. For cloud hosting, it recommends an EC2 instance with sufficient memory for Neo4j, internal-only database access, persistent EBS-backed storage, and HTTPS as the primary public entry point.

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