Mem0
What is Mem0?
Mem0 is persistent AI memory infrastructure for AI product teams that adds, learns, and retrieves user context as conversations unfold. Its Memory Compression Engine, Add, Learn, and Retrieve features keep memory compact and relevant, while governance, portability, and auditable records support production use. It is backed by Y Combinator and used by more than 100,000 developers. Plans run Hobby free, Starter $19/month, Growth $79/month, Pro $249/month, and Enterprise custom.
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At a glance
- Mem0 is best for AI product teams who need persistent user memory without rebuilding their pipeline.
- Hobby Free; Starter $19 Month; Growth $79/mo; Pro $249/mo; Enterprise Custom
What does Mem0 do?
Mem0 handles persistent AI memory by adding, learning, and retrieving user context as conversations unfold. Its Memory Compression Engine condenses chat history into compact memories, while single-pass ADD-only extraction captures both user and agent-generated facts without requiring pipeline changes. Multi-signal retrieval then combines semantic similarity, keyword matching, and entity matching so the right context comes back when an agent needs it. At scale, Mem0's research shows under 7,000 tokens per retrieval call versus 25,000+ for full-context approaches, with benchmark scores of 92.5 on LoCoMo, 94.4 on LongMemEval, and 64.1/48.6 on BEAM 1M/10M. The platform is built for production teams that need governance, portability, and observability, with SOC 2, HIPAA, BYOK, zero-trust, Kubernetes, private cloud, and air-gapped deployment options. Y Combinator backs the company, and more than 100,000 developers build with Mem0.
Why use Mem0?
- It adds memory without forcing pipeline changes, so teams can layer persistence onto existing agent and app workflows.
- Its compression and retrieval pipeline is designed to reduce token usage and latency while keeping relevant context available.
- Governance features like SOC 2, HIPAA, BYOK, and zero-trust support stricter enterprise security requirements.
- Portable deployment across Kubernetes, private cloud, and air-gapped environments helps teams keep the same API in different infra setups.
- Benchmark results show strong retrieval performance across LoCoMo, LongMemEval, and BEAM while staying token-efficient.
Who is Mem0 for?
- AI product engineers who need agents to remember preferences across sessions.
- Platform teams who want memory infrastructure with governance and deployment control.
- Healthcare app builders who need context-aware interactions that retain important user history.
- Customer support teams who want fewer repeated questions and more consistent responses.
- Sales and CRM teams who need remembered context for ongoing customer conversations.
What are Mem0's key features?
Drop-in memory infrastructure
Add memory to AI apps with a drop-in layer that works across ChatGPT, Claude, Grok, and Perplexity, so teams ship personalization faster.
Memory Compression Engine
Compress long histories into under 7,000 tokens per retrieval call, compared with 25,000+ tokens for full-context approaches, lowering latency and cost.
Add
Store user facts from single-pass ADD-only extraction, which keeps ingestion simple and helps agents capture memories without repeated processing.
Learn
Turn interactions into structured memory with temporal abstraction and cross-session structure, so the system improves recall as conversations continue.
Retrieve
Use multi-signal retrieval to pull the right memory at the right time, improving answer quality across 1,540 questions and 5 categories.
Governance
Control memory handling with governance features and self-hosting support, giving teams more oversight for production deployments and compliance needs.
Portable
Keep memories portable across systems, so teams can move data without locking it to one app or model stack.
Auditable
Track memory decisions with auditable records, helping teams review what was stored and why during debugging or compliance checks.
What does Mem0 integrate with?
- ChatGPT
- Claude
- Grok
- Perplexity
What are Mem0's use cases?
Agent memory for product teams
AI product engineers use Mem0 to make agents remember user preferences across sessions, using Drop-in memory infrastructure and Agent-native memory to keep conversations personalized without rebuilding memory logic. They can also use Multi-signal retrieval to pull the right context when the user returns later.
Support continuity for teams
Customer support teams use Mem0 to reduce repeated questions and keep replies consistent, using Retrieve to surface prior issues and Learn to retain useful details from earlier chats. That helps agents answer faster and avoid asking customers to restate the same context.
CRM context for sales teams
Sales and CRM teams use Mem0 to remember account history across long-running conversations, combining Add and Retrieve to keep notes, preferences, and prior commitments available at the next touchpoint. The result is more relevant follow-ups and fewer dropped details.
Governed memory for platform teams
Platform teams use Mem0 to ship memory infrastructure with control, relying on Governance, Portable, and Auditable to manage deployment choices and trace how memory is stored and used. That gives them a cleaner path to production without losing oversight.
How does Mem0 work?
- Connect your first app or agent to Drop-in memory infrastructure, then start sending user interactions into Mem0 so the system can begin capturing context from day one.
- Use Add to store important facts from chats, and let the Memory Compression Engine condense long histories into compact memory that stays useful over time.
- Turn on Learn and Retrieve so Mem0 can surface the right context in later sessions, helping agents answer with continuity instead of starting over.
- Apply Governance and Auditable controls to review what is stored, trace memory usage, and keep deployment decisions aligned with your team's requirements.
- Move memory between environments with Portable, then keep improving agent behavior as more conversations flow through the same memory layer.
How much does Mem0 cost?
Hobby
Free- Unlimited
- 1,000
- 1
- Community
Starter
$19 Month- Unlimited
- 5,000
- 1
- Community
Growth
$79/month- Unlimited
- 20,000
- 3
- Basic
Pro
$249/month- Unlimited
- 50,000
- UNLIMITED
- Private Slack
- Advanced
Enterprise
Custom- Unlimited
- Unlimited
- PRIVATE SLACK+SLA
- Advanced
- Usage based pricing
Frequently asked questions
What is Mem0?
Mem0 is persistent AI memory infrastructure for AI product teams that adds, learns, and retrieves user context as conversations unfold. Its Memory Compression Engine, Add, Learn, and Retrieve features keep memory compact and relevant, while governance, portability, and auditable records support production use. It is backed by Y Combinator and used by more than 100,000 developers. Plans run Hobby free, Starter $19/month, Growth $79/month, Pro $249/month, and Enterprise custom.
How much does Mem0 cost? Is it free?
Mem0 has a free plan, with paid tiers including Starter at $19 Month, Growth at $79/month, Pro at $249/month.
What is Mem0 used for? Who is it for?
Mem0 is used for Drop-in memory infrastructure, Memory Compression Engine, and Add. It's built for AI product engineers, Platform teams, and Healthcare app builders.
Does Mem0 have an API and what does it integrate with?
Mem0 doesn't publish a public API. It integrates with ChatGPT, Claude, Grok, Perplexity.
Editor's read
Check the retrieval and storage ceilings on the lower tiers before rollout. Hobby includes 10,000, Starter 50,000, Growth 200,000, and Pro 500,000, so teams with fast-growing memory volume may move tiers sooner than expected.
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