Mem0 - The Memory layer for your AI apps and agents.

Mem0 is a universal memory layer for AI agents and LLM applications. It helps developers build personalized, context-aware AI experiences by giving applications persistent memory across sessions, users, and workflows.

Most LLM applications are stateless by default: they lose context after a conversation ends and often rely on repeatedly sending large histories back into the model. Mem0 provides a dedicated memory layer that detects, stores, updates, and retrieves relevant memories so agents can remember user preferences, traits, prior interactions, important events, and domain-specific context over time.

With Mem0, teams can reduce redundant context, improve response relevance, and build AI systems that adapt as user needs evolve. Mem0 supports long-term, short-term, semantic, and episodic memory patterns, with APIs designed for fast integration into existing AI applications.

Key capabilities include:

• Persistent memory across conversations, users, sessions, and agents

• Automatic memory extraction, updates, and retrieval from user interactions

• Semantic search with relevance, recency, and importance-aware retrieval

• Support for personalized assistants, customer support agents, healthcare assistants, education tools, sales workflows, and productivity applications

• Developer-friendly SDKs and APIs for rapid integration
  

Mem0 is available as open-source software and as a managed platform for teams that want production-ready memory infrastructure without managing the underlying system. The open-source project has more than 56,000 GitHub stars, and Mem0's research reports significant improvements in latency and token efficiency compared with full-context approaches.

Use Mem0 to build AI agents that remember what matters, personalize every interaction, and scale from prototype to production.