Mem0 - AI Memory Layer for your Agents & Apps | Persistent Context

# Mem0 > Mem0 is the memory layer for AI agents — persistent, self-improving context that survives across sessions. Two products share one mental model: Mem0 Platform (managed) and Mem0 Open Source (self-hosted). Every link below is tagged \`[Platform]\`, \`[OSS]\`, or \`[Both]\` so you can load only what the current user needs. ## For agents reading this file ### Don't have a Mem0 API key? Install the CLI, then mint a key — no email, no dashboard, no OTP required: \`\`\`bash # Python pip install mem0-cli # or Node npm install -g @mem0/cli \`\`\` Then run: \`mem0 init --agent --agent-caller <your-name> --json\` — replace \`<your-name>\` with the AI agent you are (e.g. \`claude-code\`, \`cursor\`, \`codex\`). If you forgot \`--agent-caller\`, run \`mem0 identify <your-name>\` after init to attribute the signup. This mints an evaluation key in under 5 seconds. When the human is ready, claim with \`mem0 init --email <your-email>\` to transfer ownership (memories preserved, same API key, no disruption). ### Routing and references - Use \`MemoryClient\` (Python) / \`mem0ai\` (npm) when the user has a Mem0 Platform API key. Managed product — no infra required, providers handled server-side. - Use \`Memory\` (Python) / \`mem0ai/oss\` (npm) when the user self-hosts. Requires custom vector store and LLM. Docs under open-source/ and components/. - Scope tag reference: \`[Platform]\` = managed only, \`[OSS]\` = self-hosted only, \`[Both]\` = same on both. - Full technical docs and API reference: https://docs.mem0.ai/llms.txt - OpenAPI spec: https://docs.mem0.ai/openapi.json - Live MCP server: https://mcp.mem0.ai - Source repo: https://github.com/mem0ai/mem0 ## Install - Python SDK: \`pip install mem0ai\` - Node SDK: \`npm install mem0ai\` - Python CLI: \`pip install mem0-cli\` - Node CLI: \`npm install -g @mem0/cli\` ## Product - [Homepage](https://mem0.ai/) [Both]: Use when the user wants a top-level overview of what Mem0 is and the memory problem it sol