mem0ai/mem0

Health v2 · maintenance only

Adoption not part of the score

64121 stars · 7504 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Mem0 is a memory layer for AI agents and LLM applications that extracts, stores, and retrieves persistent user context across sessions. It ships as an open-source Python/Node SDK plus a managed platform with features like entity linking, hybrid retrieval, and temporal reasoning.

Use cases

• give my chatbot long-term memory across sessions
• remember user preferences in an AI assistant
• add persistent context to LLM agents
• store and retrieve facts from conversations
• personalize AI responses based on past interactions
• memory layer for multi-agent systems
• reduce token usage by recalling only relevant context

When to choose

• you're building chatbots or agents that need persistent user memory
• you want drop-in memory infrastructure with Python or Node SDKs
• you need hybrid semantic, keyword, and entity-based memory retrieval
• you want a managed memory service with an open-source fallback

When to avoid

• you only need simple session state with no cross-session persistence
• you require fully self-hosted advanced features like graph memory or Dream consolidation, which are platform-only
• you want a general-purpose vector database rather than an opinionated memory layer
• your stack doesn't support Python or JavaScript SDKs

Facets

library · maturity active

rag agent-framework llm-inference vector-database state-management sdk artificial-intelligence large-language-models chatbots developer-tools python cross-platform cloud self-hosted ai-memory long-term-memory memory-layer personalization llm-applications graph-memory hosted-service ai-agents retrieval-augmented-generation nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mem0ai/mem0")