Mem0

What is Mem0?

Mem0 extracts facts from conversations, stores them in a vector store and retrieves the relevant ones on later turns, so a chatbot or agent remembers users, preferences and past decisions across sessions. It ships as Python and TypeScript libraries plus a self-hosted FastAPI server with a dashboard for memories, entities, API keys and a request log. The bundled stack uses PostgreSQL with pgvector and an LLM and embedder from the provider you configure (OpenAI by default).

Where it fits in a 10–200 person business

• Give a customer-support or sales assistant memory of each customer across conversations
• Add per-user memory to an internal agent through a REST API instead of a hosted memory service
• Keep agent memories on your own PostgreSQL for privacy or data-location reasons

These use cases are our editorial suggestions, not claims made by the project.

Can a business use Mem0? (license)

This is a plain-English summary of the license text, not legal advice. Third-party models you run with it have their own licenses.

Data & compliance: does Mem0 phone home?

Checked against the project's own docs and repository on Oct 29, 2026. "Not documented" means we could not find the answer in official sources; it does not mean the feature is missing or that no data is sent. Third-party services you connect (model APIs, vector databases, search engines) have their own data policies. Compare all apps.

What hardware does Mem0 need?

The project does not publish a minimum CPU/RAM figure, so we leave the official value blank rather than guess.

Mem0 does not publish a minimum host size for the self-hosted server. The stack runs the API, a Next.js dashboard and PostgreSQL with pgvector; LLM and embedding calls go to the provider you configure.

Source: github.com/mem0ai/mem0/blob/main/server/README.md

How much does it cost to host Mem0 per month?

How to deploy Mem0

Method: Docker Compose (build from source)

git clone https://github.com/mem0ai/mem0.git
cd mem0/server
cp .env.example .env
# edit .env: set at least POSTGRES_PASSWORD and OPENAI_API_KEY
make bootstrap
# prints the admin login and first API key once; dashboard http://localhost:3000, API http://localhost:8888

From the official instructions: github.com/mem0ai/mem0/blob/main/server/README.md. Always check the source for the current version before you run it.

Known gotchas when self-hosting Mem0

• make bootstrap prints the admin password and first API key only once, and the API key cannot be recovered afterwards. Save them before closing the terminal. source
• The official docs label the bundled Docker Compose setup as development; enable API-key auth and HTTPS before exposing the server beyond your internal network. AUTH_DISABLED=true is for local development only. source
• The request_logs table is append-only and grows with traffic. Schedule make prune-logs (30 days by default) with cron or a systemd timer in production. source
• The self-hosted server does not use the /v1/ paths of the hosted Mem0 Platform API, so platform API examples do not apply as-is. source

Alternatives in AI app & agent builders

• AutoGPT Platform Visual builder for long-running AI agents and workflows, self-hostable as a single container. Compare AutoGPT Platform vs Mem0
• Dify Visual platform for building LLM apps, RAG chatbots, agents and workflows. Compare Dify vs Mem0
• Langflow Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers. Compare Langflow vs Mem0
• Flowise Drag-and-drop builder for LLM agents and chatflows (archived August 2026).
• Sim Visual builder for AI agent workflows, with knowledge bases, integrations and an API. Compare Mem0 vs Sim
• Coze Studio Open-source edition of ByteDance's Coze agent-building platform. Compare Coze Studio vs Mem0

Sources

• GitHub repository: github.com/mem0ai/mem0
• Official documentation: docs.mem0.ai/open-source/overview
• License text: github.com/mem0ai/mem0/blob/main/LICENSE
• Hardware requirements, Deploy instructions, Gotcha 1, Gotcha 3: github.com/mem0ai/mem0/blob/main/server/README.md
• Gotcha 2, Gotcha 4: docs.mem0.ai/open-source/features/rest-api
• Hetzner Cloud pricing (cost estimate): www.hetzner.com/cloud/regular-performance
• GitHub stars, commits and releases: GitHub REST API, fetched Oct 29, 2026