🧠 Mem0

2 guides covering common problems, patterns, and production issues in Mem0.

Mem0 is an open-source memory layer for AI agents and LLM applications. It uses an LLM to extract meaningful facts from conversations and stores them in a vector database — enabling agents to maintain persistent, selective memory across sessions without growing the context window.

  • Three memory scopes: user memory, session memory, and agent memory
  • LLM-powered fact extraction from raw conversation history
  • Semantic search for relevant memory retrieval at query time
  • Supports Qdrant, Pinecone, pgvector, and other vector stores
  • GDPR-ready: delete_all(user_id) removes all data for a user
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