Mem0 is a memory layer that gives agents and assistants persistent, personalized memory across sessions, with APIs to store, search and consolidate memories.
From the README
pip install mem0ai
- Single-pass ADD-only extraction -- one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten.
- Agent-generated facts are first-class -- when an agent confirms an action, that information is now stored with equal weight.
- Entity linking -- entities are extracted, embedded, and linked across memories for retrieval boosting.
- Multi-signal retrieval -- semantic, BM25 keyword, and entity matching scored in parallel and fused.
- Temporal Reasoning -- time-aware retrieval that ranks the right dated instance for queries about current state, past events, and upcoming plans.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeUniversal memory layer for AI Agents
mem0 has 64.4k stars on GitHub. It has been forked 7.5k times. mem0 is written mainly in Python. It has been in active development since 2023. mem0 is available under the Apache-2.0 license. Its main topics are agents, ai, ai-agents, application.
Read the full guideWhat is mem0?
Universal memory layer for AI Agents
Is mem0 open source?
mem0 is an open-source project. It is released under the Apache-2.0 license.
Is mem0 free?
Yes. mem0 is free and open source — you can use, modify and self-host it.
What license does mem0 use?
mem0 is available under the Apache-2.0 license.
What language is mem0 written in?
mem0 is written mainly in Python.
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