LangMem vs Zep: Memory Layer Comparison
Compare LangMem and Zep side by side. Both are tools in the Memory Layer category.
Updated March 10, 2026
The short answer
Choose LangMem if developer-friendly platform.
Choose Zep if aI memory purpose-built.
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Quick Comparison
| Category | Memory Layer | Memory Layer |
| Pricing | — | Open Source |
| Best For | — | Developers building conversational AI that needs structured memory and dialog management |
| Website | langchain-ai.github.io | getzep.com |
| Key Features | — |
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| Use Cases | — |
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Pros & Cons: LangMem vs Zep
- +Developer-friendly platform
- +Production-ready
- +Good performance
- +Active development
- −Enterprise pricing varies
- −Setup complexity
- −Learning curve
- +AI memory purpose-built
- +100k free messages
- +Self-hosted option
- −Message limits
- −Scaling costs
Pricing: LangMem vs Zep
- · Core features
- · Community support
- · Basic limits
- · Advanced features
- · Higher limits
- · Priority support
- · Custom solutions
- · Dedicated support
- · SLA guarantees
- · Core features
- · Advanced features
- · Custom
When to Choose LangMem vs Zep
- Enterprise AI assistants with memory
- Customer service bots that remember past issues
- Personalized recommendation agents
About LangMem
LangMem provides memory management for LLM applications with persistent context storage. The platform provides comprehensive features for production AI applications with focus on reliability and developer experience.
About Zep
Zep provides long-term memory for AI applications. Vector search and fact extraction for persistent context.
What is Memory Layer?
Tools and frameworks for adding persistent, long-term memory to AI agents and LLM applications. These systems manage conversation history, user preferences, and learned context across sessions, enabling more personalized and context-aware AI interactions.
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