Mem0

Mem0 is an open-source memory layer for AI agents and applications. Its mission is simple but foundational: most LLM-powered agents are stateless — they forget everything between sessions — which makes them feel generic and limits how useful they can be. Mem0 fixes this by giving agents a persistent, queryable memory that captures facts, preferences, and context from past interactions, so each subsequent exchange builds on everything that came before. Technically, Mem0 is designed for production memory management rather than naive text storage. It performs single-pass, add-only extraction of salient facts, treats agent-generated facts as first-class entities, performs entity linking to connect related information, and uses multi-signal retrieval to surface the most relevant memories at query time. It also supports temporal reasoning — understanding when facts were learned and how they relate in time — and multi-level memory that separates user, session, and agent-scoped knowledge. Developers integrate Mem0 to add personalized, long-term memory to chatbots, coding agents, research assistants, customer-support tools, and any application where continuity across conversations adds value. It is model- and provider-agnostic, can be self-hosted for full data control, and has become one of the most popular projects in the agent-infrastructure space, with tens of thousands of GitHub stars. Mem0 is aimed at developers and teams building agents or AI apps who want them to remember users, learn over time, and deliver personalized experiences — without bolting on a fragile, hand-rolled memory system.