Mem0
Drop-in memory API that shrinks prompts and remembers users
What is Mem0?
Mem0 is a managed memory layer for AI agents: you push conversation turns and documents, it extracts, deduplicates, and stores 'memories,' then retrieves the relevant ones per query to cut prompt size and latency. Sold to developers who want persistent user memory without building their own embedding/retrieval stack. SOC 2 Type 1 and HIPAA certifications target regulated verticals.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Chatbot that remembers a user's preferences across sessions
Customer-support agent that recalls past tickets from the same user
Personalized recommendation agent in e-commerce
HIPAA-aligned health assistant retaining patient context
Fit to evaluate
Devs adding user memory to a chatbot without building a RAG stack
Healthcare/education/CS teams needing audited memory storage
Early-stage AI startups (qualify for free Pro via startup program)
Product teams optimizing for token cost and latency
Business fit
Right for you if your chatbot or agent should remember users across sessions and you want a managed service instead of running your own vector DB plus dedup logic. Free tier (10K memories, 1K retrievals) is enough to validate the fit. Skip if your context fits in a single prompt, if you already run a tuned RAG pipeline, or if you cannot accept a third-party storing user memories.
How to evaluate Mem0
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Mem0 to one concrete workflow first, such as chatbot that remembers a user's preferences across sessions. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Shortlist Mem0 against Orgo, Browser Use, Browserbase so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Free: 10K memories, 1K retrieval requests, 1 project. Starter $19/mo: 50K adds, 5K retrievals. Growth $79/mo: 200K adds, 20K retrievals, 3 projects. Pro $249/mo: 500K adds, 50K retrievals, unlimited projects. Enterprise custom. Startup program: 3 months free Pro for sub-$5M-funded companies. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Mem0 with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Chatbot that remembers a user's preferences across sessions, Customer-support agent that recalls past tickets from the same user |
|---|---|
| Best-fit team | Devs adding user memory to a chatbot without building a RAG stack, Healthcare/education/CS teams needing audited memory storage |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Free plan + paid plans |
| Closest alternatives | OrgoBrowser UseBrowserbaseHyperbrowser |
Mem0 pricing
| Model | Free plan + paid plans |
|---|---|
| Snapshot | Free: 10K memories, 1K retrieval requests, 1 project. Starter $19/mo: 50K adds, 5K retrievals. Growth $79/mo: 200K adds, 20K retrievals, 3 projects. Pro $249/mo: 500K adds, 50K retrievals, unlimited projects. Enterprise custom. Startup program: 3 months free Pro for sub-$5M-funded companies. |
| Checked |
Common questions about Mem0
What is Mem0?
Mem0 is a managed memory layer for AI agents: you push conversation turns and documents, it extracts, deduplicates, and stores 'memories,' then retrieves the relevant ones per query to cut prompt size and latency. Sold to developers who want persistent user memory without building their own embedding/retrieval stack. SOC 2 Type 1 and HIPAA certifications target regulated verticals.
What is Mem0 used for?
Common use cases: Chatbot that remembers a user's preferences across sessions; Customer-support agent that recalls past tickets from the same user; Personalized recommendation agent in e-commerce; HIPAA-aligned health assistant retaining patient context.
How much does Mem0 cost?
Free: 10K memories, 1K retrieval requests, 1 project. Starter $19/mo: 50K adds, 5K retrievals. Growth $79/mo: 200K adds, 20K retrievals, 3 projects. Pro $249/mo: 500K adds, 50K retrievals, unlimited projects. Enterprise custom. Startup program: 3 months free Pro for sub-$5M-funded companies.
Who is Mem0 best for?
Mem0 fits Devs adding user memory to a chatbot without building a RAG stack, Healthcare/education/CS teams needing audited memory storage, Early-stage AI startups (qualify for free Pro via startup program), Product teams optimizing for token cost and latency. Right for you if your chatbot or agent should remember users across sessions and you want a managed service instead of running your own vector DB plus dedup logic. Free tier (10K memories, 1K retrievals) is enough to validate the fit. Skip if your context fits in a single prompt, if you already run a tuned RAG pipeline, or if you cannot accept a third-party storing user memories.
What are alternatives to Mem0?
Common alternatives to Mem0 include Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, Anchor Browser.