Mem0
Memory layer for AI apps and agents. Open-source SDK + managed API that adds long-term, semantic and graph memory with fast retrieval, policy controls, and analytics.
At a Glance
Get started with Mem0 at no cost with 10,000 memories and 1,000 retrieval API calls/month.
Engagement
Available On
Alternatives
Updated Feb 2026
About Mem0
Mem0 is a universal memory layer for LLM apps and AI agents. It extracts, stores, and recalls the facts and preferences that matter—so your agent can personalize behavior across sessions while using fewer tokens. Developers can use the managed cloud or the open-source SDKs (Python/Node) to add working, episodic, semantic, and factual memory, with sub-50 ms lookups, decay/filters to prevent memory bloat, and optional graph memory to connect entities over time. Mem0 integrates with popular agent frameworks (LangChain, CrewAI, LangGraph, AutoGen, Vercel AI SDK, etc.) and supports MCP via an official example and the OpenMemory MCP app. A hosted dashboard provides observability and analytics. Security is covered via a dedicated trust portal, with SOC 2 Type I and HIPAA compliance listed and SOC 2 Type II in observation.
Key use cases: persistent user profiles, cross-session personalization, memory for support/chat, voice agents, and hybrid RAG + memory setups.
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Pricing
Unknown Plan
Get started with Mem0 at no cost with 10,000 memories and 1,000 retrieval API calls/month.
- 10,000 memories
- 1,000 retrieval API calls/month
- Unlimited end users
- Community support
Capabilities
Key Features
- LLM-based memory extraction and scoring
- Working, episodic, semantic, and factual memory types
- Fast memory retrieval (sub-50 ms lookups)
- Memory decay, filtering, and deduplication
- Graph Memory to link entities and relationships
- Multimodal support (text + images)
- Policy-based memory customization and controls
- Dashboards and analytics for observability
- Open-source SDKs (Python, Node) and self-hosting
- Managed cloud with projects, auth, and team features
- MCP support via OpenMemory and example servers
- Integrations with agent frameworks and voice stacks
Integrations
Demo Video
