Universal memory layer for AI agents that enables personalized, context-aware interactions.
mem0 is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view mem0ai/mem0 --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Mem0 is a tool that gives AI agents a memory. It helps chatbots and assistants remember user preferences, past conversations, and important details. This makes AI interactions more personalized and efficient without needing to retrain models.
Mem0 is an open-source memory layer designed for AI agents and assistants. It provides a persistent, intelligent memory system that stores user preferences, session history, and agent state. The latest algorithm (April 2026) introduces single-pass ADD-only extraction, entity linking, multi-signal retrieval (semantic, BM25, entity), and temporal reasoning. It achieves state-of-the-art results on benchmarks like LoCoMo (91.6), LongMemEval (94.8), and BEAM (64.1 on 1M tokens). Mem0 supports Python and JavaScript SDKs, offers a managed service, and is used for customer support chatbots, AI assistants, and autonomous systems. It is licensed under Apache-2.0 and has a strong community with 57k+ stars.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 56 days ago.
57281 GitHub stars indicate community interest.
406 open issues signal maintenance load.
Apache-2.0 license detected.
Personalized customer support chatbots that remember user history and preferences
AI assistants that adapt to individual user needs over time
Autonomous agents that maintain context across sessions and tasks
Recommendation systems that leverage long-term user memory
State management for multi-turn conversational AI
Stores user data; ensure compliance with data protection regulations (e.g., GDPR, CCPA).
Memory persistence may lead to unintended information retention; implement data deletion policies.
Dependency on external LLM APIs for memory extraction; review API provider privacy policies.
57,281
Stars
6,543
Forks
406
Issues
Apache-2.0
License
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Universal memory layer for AI agents that enables personalized, context-aware interactions.
AI/ML engineers building personalized AI applications, Backend developers integrating memory into chatbot systems, Product teams creating adaptive user experiences
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Stores user data; ensure compliance with data protection regulations (e.g., GDPR, CCPA). Memory persistence may lead to unintended information retention; implement data deletion policies.
Similar or complementary options to evaluate include Ollama, hyperframes, Sephera.
Jun 1, 2026
3 security/trust notes recorded.
Setup difficulty is 3/5.