BUZZ: 53%
Helping AI agents learn and adapt from interactions over time
LangMem Overview
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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