Compare Mem0 and Zep side by side. Both are tools in the Memory Layer category.
Updated March 10, 2026
Choose Mem0 if strong backing: USD 24M from top VCs including YC and Peak XV.
Choose Zep if aI memory purpose-built.
Want to compare Mem0 and Zep on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | Memory Layer | Memory Layer |
| Pricing | Freemium | Open Source |
| Best For | Developers building AI agents that need to remember user context across sessions | Developers building conversational AI that needs structured memory and dialog management |
| Website | mem0.ai | getzep.com |
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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.
Zep provides long-term memory for AI applications. Vector search and fact extraction for persistent context.
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 Layertools →One platform for routing, observability, tracing, and evals across every LLM provider.