Mem0 — Memory Layer Platform
Memory LayerLayer 2FreemiumWhat is 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.
Key Features
- ✓Long-term memory for AI agents
- ✓Automatic memory extraction from conversations
- ✓User-level and session-level memory
- ✓Framework integrations
- ✓Memory search and retrieval API
Pros & Cons
Pros
- +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
Cons
- -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
Mem0 Pricing
Free trial available
- ✓10,000 memories
- ✓1,000 retrieval calls/month
- ✓Vector memory
- ✓Cloud hosted
- ✓Community support
- ✓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
Common Use Cases
Developers building AI agents that need to remember user context across sessions
- •Personalized AI assistants that remember users
- •Agent learning from past interactions
- •Customer support with conversation history
- •AI companions with persistent memory
- •Multi-session context continuity
Using Mem0 with Respan
Mem0 and Respan enable persistent AI memory with monitoring. Add memory to AI apps with Mem0 while tracking costs with Respan.
- ✓Monitor Mem0 API costs for memory storage and retrieval
- ✓Track memory usage patterns and retrieval effectiveness
- ✓Debug memory-related issues using Respan execution traces
- ✓Optimize memory architecture based on Respan usage analytics
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Last verified: March 10, 2026