Mem0

What is Mem0?

Mem0 is a memory layer that lets AI assistants and agents remember facts and preferences about each user between conversations, instead of replaying the full chat history in every prompt. You send Mem0 messages, it extracts and stores the useful facts, links entities such as people, places and organizations across memories, and returns only the most relevant ones at query time. It ships as an open-source Python package you host yourself and as a managed Platform, where Mem0 runs the vector store and rerankers and adds webhooks, multimodal support, custom categories, audit logs and workspace governance. SDKs are available for JavaScript and Python, and the platform is also offered through the Vercel Marketplace with billing handled by Vercel. Developers building chatbots, support agents and personalized LLM products are the main users. Platform plans are Hobby (free), Starter at $19/month, Pro at $249/month and a custom Enterprise tier.

Use cases

• Give a chatbot long-term memory of each user
• Personalize agent replies from past conversations
• Reduce prompt size by recalling only relevant facts
• Link facts about people and companies across chats
• Add memory to a Vercel-hosted AI app
• Run self-hosted memory for a private agent

Who it's for

• AI application developers
• Agent builders
• Startups
• Enterprise AI teams

Why use Mem0

• Agents keep context across sessions, so users stop repeating preferences and background.
• Only relevant memories are returned at query time, which keeps prompts shorter.
• The managed Platform removes the need to run a vector store or reranker yourself.
• You can start on the free Hobby plan or the open-source package and move up as traffic grows.
• Usage-based pricing is available for teams whose traffic does not fit a fixed tier.

Mem0 features

• Add and search APIs for storing and recalling memories
• Automatic fact extraction from conversations
• Graph memory that links entities across memories
• Memory scoped by user, agent, app and run
• Memory consolidation called Dream on Pro
• Webhooks, multimodal support and custom categories
• Advanced analytics and audit logs
• JavaScript and Python SDKs
• Vercel Marketplace integration with injected API key
• Open-source package for self-hosting

Mem0 integrations

• Vercel
• Vercel AI SDK
• Neo4j
• Memgraph
• OpenMemory
• MCP

How to get started with Mem0

1. Get an API key from the Platform or from the Vercel Marketplace, or install the open-source package.
2. Install the mem0ai SDK for JavaScript or Python and create a memory client.
3. Call add with a conversation and a user ID so Mem0 extracts and stores facts.
4. Call search with a question and filters to retrieve the most relevant memories.
5. Pass the returned memories into your model prompt on the next turn.

Mem0 limitations

• Hobby plan allows 10,000 add requests and 1,000 retrieval requests per month
• Starter plan is limited to 1 project and community support
• Graph memory and Dream are not part of Hobby or Starter
• The open-source version must be hosted and operated by you

Mem0 pricing

Yes, Mem0 has a free plan. Paid plans start at $19 per month, according to the official pricing page on 24 Oct 2026.

Mem0 plans

• Hobby

  Free

  • Unlimited end users
  • 10,000 add requests/month
  • 1,000 retrieval requests/month
  • 1 project
  • Community support

• Starter

  $19/month

  • Unlimited end users
  • 50,000 add requests/month
  • 5,000 retrieval requests/month
  • 1 project
  • Community support

• Pro

  $249/month

  • 500,000 add requests/month
  • 50,000 retrieval requests/month
  • Unlimited projects
  • Private Slack support
  • Graph memory and Dream

• Enterprise

  Custom

  • Unlimited add and retrieval requests
  • SLA support
  • On-prem deployment
  • Audit logs
  • Custom integrations and SSO

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Mem0 alternatives

The main Mem0 alternatives listed on Debuly are Zep, Letta, Supermemory, LangMem, Cognee and Memori. The table compares pricing and platforms; order is A–Z.

1. 

   Cognee

   Open-source memory engine for AI agents that combines vector search, knowledge graphs and relational storage, with a hosted cloud.

   Developer platformsAutomation and agentsResearch and search
   FreemiumVisit Cognee (official site)
2. 

   LangMem

   Python library from LangChain that gives AI agents long-term memory and lets them refine behavior from past conversations.

   Developer platformsAutomation and agents
   Open sourceVisit LangMem (official site)
3. 

   Letta

   Platform, formerly MemGPT, for building stateful AI agents with persistent memory, from a terminal app, SDK or API.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Letta (official site)
4. 

   Memori

   Memory infrastructure for LLM apps and agents that captures conversations and tool traces as structured memories, in the cloud or on your own database.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Memori (official site)
5. 

   Supermemory

   Memory and context API for AI agents with user profiles, a memory graph, retrieval and connectors, billed by usage.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Supermemory (official site)
6. 

   Zep

   Managed memory and context platform for AI agents, built on the Graphiti knowledge graph, with Python, TypeScript and Go SDKs.

   Developer platformsAutomation and agents
   FreemiumVisit Zep (official site)

Mem0 FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from framerusercontent.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.