Mem0

About Mem0

## Intro Mem0 is a memory layer for AI agents and apps built on large language models. Out of the box, most chatbots and agents forget everything when a session ends. Mem0 sits between your app and the model, stores useful facts about each user, and retrieves the relevant ones on the next request, so your agent can pick up where it left off. It is a developer tool, but it shows up often in no-code and low-code agent stacks because it removes a lot of plumbing. ## Key features - **Add and retrieve memory through an API.** You send conversations or facts to Mem0, and it decides what is worth keeping. Later requests pull back the memories that matter for the current question. - **Graph memory.** On Pro and Enterprise, Mem0 links entities together (people, companies, preferences) so retrieval can follow relationships instead of only matching similar text. - **Developer tooling.** There is an API, a CLI, a gateway and an MCP integration, which means you can plug memory into Claude, Cursor and other MCP clients without writing a full integration. - **Multiple projects and analytics.** Paid plans add more projects and usage analytics, which helps once you run more than one agent. - **Memory consolidation.** Pro and Enterprise include a consolidation feature the company calls "Dream," which tidies stored memories over time so retrieval stays relevant as a user's history grows. The practical upside is smaller prompts. Instead of stuffing an entire chat history into every request, you send only the few memories that matter, which can cut token costs and keep answers focused. ## Best for Mem0 suits builders shipping a customer support bot, AI tutor, sales assistant or personal agent where remembering the user is the whole point. If you have ever pasted a long "here is everything about this customer" block into a prompt, Mem0 is the cleaner version of that. Agencies building agents for clients will like that end users are unlimited on every plan. It is less useful for one-off tools where each request stands alone. You also need to be comfortable with API calls, or use a builder that already has a Mem0 connector. ## Pricing summary The Hobby plan is free with 10,000 add requests and 1,000 retrieval requests a month on one project. Starter costs $19 a month for 50,000 adds and 5,000 retrievals. Pro is $249 a month with 500,000 adds, 50,000 retrievals, unlimited projects and graph memory. Enterprise is custom and adds on-prem deployment, SSO and audit logs. ## Quick verdict Mem0 is one of the simplest ways to give an AI agent long-term memory without designing your own vector database and retrieval logic. The free tier is generous enough to prototype, and Starter covers most small production apps. The jump from $19 to $249 is steep if you need graph memory, so test whether plain memory is good enough first. If your agent needs to remember people, Mem0 is worth a look.

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