Integrate LangGraph with Mem0 to build AI agents with long-term memory. Learn architecture, setup, and examples for persistent memory workflows.

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A practical guide to giving AI agents persistent long-term memory by integrating LangGraph with Mem0. Covers the architecture of how LangGraph's stateful graph-based orchestration pairs with Mem0's semantic memory layer, walks through a full code setup including state definition, memory retrieval, context injection, and interaction storage. Also addresses production concerns like custom fact extraction prompts, memory update strategies, ingestion quality control, vector database choices, and data privacy considerations.

Building Long-Term Memory in AI Agents with LangGraph and Mem0

AI Memory: Short-Term vs Retrieval vs Long-Term

Memory extraction, filtering, and summarization strategies

A Step-by-Step Overview of the Mem0–LangGraph Integration