Keywords AI
LangMem vs Mem0
Compare LangMem and Mem0 side by side. Both are tools in the Memory Layer category.
Quick Comparison
| Category | Memory Layer | Memory Layer |
| Pricing | — | Freemium |
| Best For | — | Developers building AI agents that need to remember user context across sessions |
| Website | langchain-ai.github.io | mem0.ai |
| Key Features | — |
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| Use Cases | — |
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When to Choose LangMem vs Mem0
- Personalized AI assistants that remember users
- Agent learning from past interactions
- Customer support with conversation history
About LangMem
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.
About Mem0
Mem0 (formerly EmbedChain) is a memory layer for AI applications that gives LLMs and agents persistent, personalized memory. It automatically extracts, stores, and retrieves relevant memories from conversations, enabling AI systems to remember user preferences, past interactions, and context across sessions. Mem0 supports multiple storage backends and integrates with popular LLM frameworks.
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.
Browse all Memory Layer tools →