LangMem vs Mem0: Memory Layer Comparison
Compare LangMem and Mem0 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 Mem0 if strong backing: USD 24M from top VCs including YC and Peak XV.
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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Pros & Cons: LangMem vs Mem0
- +Developer-friendly platform
- +Production-ready
- +Good performance
- +Active development
- −Enterprise pricing varies
- −Setup complexity
- −Learning curve
- +Strong backing: USD 24M from top VCs including YC and Peak XV
- +80,000+ developers and AWS Agent SDK exclusive provider
- +Free tier with 10,000 memories enables thorough evaluation
- +Both cloud and self-hosted deployment options
- −Graph memory only on expensive USD 249/month Pro plan
- −Significant price jump from USD 19 to USD 249 for advanced features
- −Relatively new company (2023) with limited long-term track record
- −Free tier 1,000 retrieval calls may be restrictive for evaluation
Pricing: LangMem vs Mem0
- · Core features
- · Community support
- · Basic limits
- · Advanced features
- · Higher limits
- · Priority support
- · Custom solutions
- · Dedicated support
- · SLA guarantees
- · 10,000 memories
- · 1,000 retrieval calls/month
- · Vector memory
- · Cloud hosted
- · 50,000 memories
- · Unlimited retrieval
- · Vector memory
- · Email support
- · Unlimited memories
- · Graph memory
- · Advanced features
- · Priority support
- · Self-hosted option
- · Custom integrations
- · SLA guarantees
- · Dedicated support
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 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 Mem0
Mem0 is a Y Combinator-backed memory layer for AI applications founded in 2023 by Taranjeet Singh (ex-Khatabook first growth engineer) and Deshraj Yadav (ex-Tesla Autopilot AI Platform lead). Launched in January 2024, Mem0 raised USD 24 million including USD 3.9 million in seed funding and USD 20 million Series A led by Basis Set Ventures, with participation from Kindred Ventures, Y Combinator, Peak XV Partners, and GitHub Fund. The company serves over 80,000 developers and provides the exclusive memory provider for AWS new Agent SDK. Mem0 offers a free tier with 10,000 memories and 1,000 retrieval calls per month, Pro plans at USD 19-249/month with different memory limits, and custom Enterprise pricing. The platform supports both cloud-hosted and self-hosted deployment options. Graph memory capabilities are only available on Pro plans (USD 249/month) or higher. Mem0 specializes in persistent memory for LLM applications, enabling AI systems to remember context across interactions for improved personalization and continuity.
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 →