LangMem vs Zep
Updated March 10, 2026
Overview
LangMem is LangChain's long-term memory solution for AI agents. It provides tools for extracting, storing, and retrieving memories from agent interactions, enabling agents to learn and improve over time. LangMem integrates natively with the LangGraph agent framework and supports multiple memory types including semantic, episodic, and procedural memory.
Zep is a long-term memory service for AI assistants and agents. It stores conversation history, extracts facts and entities, builds temporal knowledge graphs, and enables semantic search across past interactions. Zep helps AI applications recall relevant context from previous conversations, making chatbots and agents feel more natural and personalized. Available as open-source and cloud-hosted.
Key features
Core capabilities each platform advertises.
- Memory infrastructure for AI assistants
- Dialog classification and extraction
- Integration with LangChain and LlamaIndex
- Structured and unstructured memory storage
- Memory search with temporal awareness
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Developer-friendly platform
- Production-ready
- Good performance
- Active development
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve
Pros
- AI memory purpose-built
- 100k free messages
- Self-hosted option
Cons
- Message limits
- Scaling costs
LangMem or Zep — which should you choose?
Choose LangMem if you wantChoose if you want
Choose Zep if you wantChoose if you want
- Enterprise AI assistants with memory
- Customer service bots that remember past issues
- Personalized recommendation agents
- Multi-turn conversation management
- Context-aware AI applications
Compare LangMem and Zep on your own traffic
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