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Mem0

Drop-in memory layer for AI agents, metered on add and retrieval requests

freemiumHobby is free for individuals and side projects with unlimited end users, 10,000 add requests/month, 1,000 retrieval requests/month, 1 project and community support. Starter is $19/month for solo builders shipping a first agent, with unlimited end users, 50,000 add requests/month, 5,000 retrieval requests/month, 1 project and community support. Pro is $249/month for production apps, with unlimited end users, 500,000 add requests/month, 50,000 retrieval requests/month, unlimited projects, multi-project support, private Slack support, advanced analytics, graph memory with entity linking and Dream memory consolidation. Enterprise is custom-priced with unlimited add and retrieval requests, unlimited projects, SLA-backed support, on-prem deployment, audit logs, and custom integrations and SSO. The open-source project is free to self-host.View full pricing →

About Mem0

Mem0 is drop-in memory infrastructure for AI agents and applications: a hosted layer that stores what a user said and preferred, keeps it across sessions and across separate agents, and returns it as context on the next call. It is one of the most widely adopted open-source projects in this category, with over 62,000 GitHub stars, which matters practically because the self-hosted path is a real option and the API surface has been exercised by a large number of implementations rather than a handful. The billing model reflects how memory systems are actually used and is a useful contrast with per-token pricing: plans meter add requests and retrieval requests separately, with retrieval allowances roughly a tenth of add allowances, because agents write memories far more often than they read them back. End users are unlimited on every tier including the free one, so a consumer app with a large user base and light per-user memory is not penalised for its user count. Higher tiers add graph memory with entity linking, which moves the product from flat fact storage toward relationship-aware retrieval, and Dream, the company's memory consolidation feature that keeps stored memory accurate as it grows rather than accumulating contradictory entries. Multi-project support, advanced analytics and private Slack support arrive at Pro; on-prem deployment, audit logs, SSO and custom integrations at Enterprise.

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Key Features

✓Persistent memory across sessions and across agents
✓Unlimited end users on every tier including free
✓Separate metering for add and retrieval requests
✓Graph memory with entity linking on Pro
✓Dream memory consolidation keeps stored memory accurate
✓Open source with 62k+ GitHub stars, self-hostable

Tags

agent-memoryopen-sourcepersonalizationragy-combinator
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