Mem0

Adds persistent, hierarchical memory (user, session, agent levels) to any AI application with a hybrid vector + key-value + graph store. Benchmarks show 26% higher accuracy on memory tasks vs. full-context approaches. Best for chatbots, assistants, and agents that need to remember across conversations.

AI ToolFree Tier: Apache 2.0; 21K starsCompany: Mem0 AICategory: Developer ToolsOpen Source: YesQuick Start: pip install mem0ai → Initialize Mem0 with your LLM provider → Use m.add() to store and m.search() to retrieve memories

Mem0

Persistent AI memory — 26% better accuracy, 91% lower latency

Visit Mem0 →

Adds persistent, hierarchical memory (user, session, agent levels) to any AI application with a hybrid vector + key-value + graph store. Benchmarks show 26% higher accuracy on memory tasks vs. full-context approaches. Best for chatbots, assistants, and agents that need to remember across conversations.

FREE TIER
Apache 2.0; 21K stars
COMPANY
Mem0 AI
CATEGORY
Developer Tools › App Frameworks
OPEN SOURCE
Yes
PRIVACY
Self-hosted; hybrid store
TAGS
memorypersistent

QUICK START

pip install mem0ai → Initialize Mem0 with your LLM provider → Use m.add() to store and m.search() to retrieve memories

BEST FOR

  • ▸Devs building AI agents or chatbots requiring robust, hierarchical memory.
  • ▸Teams needing self-hosted AI memory for data privacy and full control.
  • ▸Engineers optimizing AI app performance with better accuracy & lower latency.

NOT FOR

  • ✕Developers building simple, stateless AI tools without conversational memory.
  • ✕Teams seeking fully managed, cloud-hosted AI memory services.

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