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LangMem
by LangChain
Memory modules for LangChain agents
LangMem provides various memory implementations for LangChain agents, including conversation buffers, summaries, knowledge graphs, and vector store-backed memory.
Ease of Use
0/10
Community
0/10
Performance
0/10
Documentation
0/10
🎯 Key Features
Conversation buffer memory
Conversation summary memory
Entity memory
Knowledge graph memory
Vector store memory
Token buffer memory
Combined memory
Custom memory classes
Strengths
Multiple memory types
Flexible architecture
Large ecosystem
Well documented
Free and open-source
Limitations
Requires manual configuration
No built-in UI
Performance depends on backend
Requires LangChain
Best For
- LangChain-based applications
- Custom memory implementations
- Flexible memory architectures
- Research and experimentation