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LangMem

Helping AI agents learn and adapt from interactions over time

73
AI Agent Memory
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Open Source
Featured on AI Agents Directory

LangMem Review

LangMem is a toolkit designed to enhance AI agents' capabilities by enabling them to extract important information from conversations, refine their behavior through prompt optimization, and maintain long-term memory. It offers functional primitives compatible with any storage system and integrates natively with LangGraph's storage layer, allowing agents to continuously improve, personalize responses, and maintain consistent behavior across session

LangMem Key Features

  • Core memory API compatible with any storage system
  • Memory management tools for active conversations
  • Background memory manager for automatic knowledge extraction and updates
  • Native integration with LangGraph's Long-term Memory Store

LangMem Use Cases

  • Enhancing AI agents with adaptive learning capabilities
  • Improving conversational AI systems
  • Developing personalized AI assistants
  • Creating AI agents with consistent long-term behavior
Pricing
Free

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