# Mengram Docs - [Mengram Documentation](https://docs.mengram.io/index.md): The memory layer for AI apps. Persistent memory — semantic, episodic, procedural — with native quality across 23 languages. - [Quickstart](https://docs.mengram.io/quickstart.md): Look at what memory would already know — no account. Then keep it, in under 2 minutes. - [Local mode — memory in a folder](https://docs.mengram.io/local-mode.md): No account, no server. Your agent's memory is a folder of Markdown you own, with the same procedures-with-outcomes the cloud keeps: versions, success/fail counts, a policy gate, and a regression gate. - [Agent-Native Install](https://docs.mengram.io/agent-install.md): Install Mengram via a single prompt to your coding agent. No terminal context-switching, no config-file editing. - [Agent Memory](https://docs.mengram.io/agent-memory.md): Give your AI agents persistent memory with agent_id scoping, run tracking, and procedural learning. - [CLI Reference](https://docs.mengram.io/cli.md): Command-line interface for Mengram — setup, MCP server, data import, hooks, and rules generation. - [Memory Types](https://docs.mengram.io/memory-types.md): Understand semantic, episodic, and procedural memory — the three pillars of human-like AI memory. - [Cognitive Profile](https://docs.mengram.io/cognitive-profile.md): Generate a ready-to-use system prompt from memory that captures who a user is, their preferences, and current focus. - [Search & Filters](https://docs.mengram.io/search-filters.md): Semantic search, metadata filters, graph traversal depth, and unified search across all memory types. - [Capture Policy](https://docs.mengram.io/capture-policy.md): Set a server-side boundary on what your AI is allowed to remember — enforced before anything is stored, not a prompt asking the model to behave. - [Export & Portability](https://docs.mengram.io/export.md): Take your memory out as plain Markdown files at any time — no account needed to read them, nothing to migrate if you leave. - [The memfmt Format](https://docs.mengram.io/memfmt.md): An agent's memory as Markdown files — the open format Mengram writes, with a library that reads it without an account or a server. - [Python SDK](https://docs.mengram.io/python-sdk.md): Full reference for the Mengram Python client — zero external dependencies, works everywhere. - [JavaScript SDK](https://docs.mengram.io/javascript-sdk.md): Node.js and browser SDK for Mengram with full TypeScript support. - [Async Client](https://docs.mengram.io/async-client.md): Non-blocking Python client built on httpx for async/await workflows. - [Claude Connector](https://docs.mengram.io/claude-connector.md): Give Claude persistent memory in one click — add Mengram as a connector on claude.ai, Desktop, or Cowork. No CLI, no config. - [Claude Code Integration](https://docs.mengram.io/claude-code.md): Memory that survives /clear and auto-compaction — auto-save conversations, auto-recall context on every prompt, load your profile on session start, and a policy gate that asks before Claude runs a workflow with a weak record. - [Claude Managed Agents](https://docs.mengram.io/managed-agents.md): Give Claude Managed Agents persistent memory with Mengram's MCP server — 29 tools for semantic, episodic, and procedural memory. - [OpenClaw Plugin](https://docs.mengram.io/openclaw.md): Give your OpenClaw agent persistent memory with auto-recall, auto-capture, and 12 memory tools. - [MCP Server](https://docs.mengram.io/mcp-server.md): Use Mengram as a Model Context Protocol server with Claude Desktop, Cursor, Windsurf, and other MCP clients. - [Vapi Voice Integration](https://docs.mengram.io/vapi.md): Persistent memory for Vapi voice agents — the assistant knows who's calling before saying a word. Drop-in webhook adapter, no glue code, no n8n. - [Vercel AI SDK](https://docs.mengram.io/ai-sdk.md): Give your Vercel AI SDK agents long-term memory — semantic, episodic, and procedural. - [LangChain](https://docs.mengram.io/langchain.md): Use MengramRetriever in LangChain RAG pipelines and chains for persistent memory. - [CrewAI](https://docs.mengram.io/crewai.md): Give your CrewAI agents persistent memory with procedural learning. - [n8n Integration](https://docs.mengram.io/n8n.md): Add persistent memory to any n8n AI agent workflow with a ready-to-import template. - [API Reference](https://docs.mengram.io/api-reference.md): Complete REST API documentation for Mengram with all endpoints, parameters, and response formats. - [Webhooks](https://docs.mengram.io/webhooks.md): Real-time notifications when memories are created, updated, or deleted. - [Self-hosting](https://docs.mengram.io/self-hosting.md): Run Mengram on your own infrastructure with Docker Compose — PostgreSQL, Redis, and Mengram API in one command. ## Optional - [Website](https://mengram.io) - [GitHub](https://github.com/alibaizhanov/mengram) - [Get API Key](https://mengram.io/#signup)