mem0ai/mem0

Mem0 gives AI agents a persistent memory layer that actually works across sessions — user preferences, past decisions, conversation context — stored and retrieved without you hand-rolling a vector DB schema every time. The problem it solves is real: every serious agent project eventually hits the wall where stateless LLM calls produce embarrassingly amnesiac behavior, and the fix is always some bespoke retrieval hack. Mem0 abstracts that into a clean SDK that supports multiple backends. It is not magic — under the hood it is embeddings plus some smart summarization — but the integration surface is small enough that a solo engineer can drop it into an existing project in an afternoon. Reservation: the managed cloud option is early and the self-host docs assume you already know what you are doing. -> Best for: AI engineer or solo founder building a multi-session agent that needs to remember anything