LangMem
Helping AI agents learn and adapt from interactions over time
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for LangMem, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
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
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
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