Mem0
Mem0 is a universal, self-improving memory layer for LLM applications, enabling AI agents to remember user interactions and preferences over time.
Free + paidWebPython SDKNode.js SDKOpen sourceKoreanLLM-basedMultimodal
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Mem0 is a universal, self-improving memory layer for LLM applications, enabling AI agents to remember user interactions and preferences over time. It features a memory compression engine, graph memory, and advanced analytics to reduce token costs and enhance personalization. Designed for developers and enterprises, it powers use cases like personalized learning and support. The platform offers a free Hobby tier, followed by paid plans for growing teams and businesses.
Key features
- Self-improving memory layer
- Memory compression engine
- Graph memory
Pros & cons
Collected from user feedback found in web search
Pros
- Reduces LLM costs by up to 80% through intelligent data filtering
- Achieves 26% relative improvements in LLM-as-a-Judge metrics
- Continuously learns and adapts from user interactions for personalization
- Easy integration with popular AI platforms like OpenAI and Claude
- Add memory to AI agents with single-line of code
- SOC 2 & HIPAA compliant with enterprise security features
Cons
- Retrieval quality heavily influenced by configuration details
- Not a complete product - requires building experience around it
- Setup complexity despite streamlined integration
- Limited integrations primarily focused on major AI platforms
- Still need to run storage, retrieval, and monitoring infrastructure
Pricing
Use cases
- Personalized recovery support
- Visual learning personalization
- User preference recall
Who it is for
DevelopersEnterprises
Integrations
OpenAILangChainClaudeLlamaIndex
Tags
APIRAG
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 09/06/2026Verified sources: 1
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