Start here and pick the path that fits you.
| Guide | Who it is for |
|---|---|
| Quickstart | Developers — install to guarded, cost-tracked model calls in 5 minutes |
| Getting started without writing code | Analysts, compliance officers, PMs — plain language, terminal only |
| Cookbook | Task-oriented recipes: switch providers, structured output, PII guard, budgets, hallucination checks, gateway, docker |
| Installation guide | Which pip extras exist and what each one adds |
- Compliance — GDPR/HIPAA compliance module, evidence reports (quick version)
- Governance dashboard —
multimind dashboard: audit trail, costs, inventory, and no-code guardrails in a self-hosted UI - Guard proxy —
multimind serve: govern any OpenAI-compatible app by changing one line - Framework integrations — add PII guard, budgets, and audit to LangChain, LlamaIndex, CrewAI, and the OpenAI SDK
- MCP server — expose compliance tools to Claude Desktop / Claude Code and other MCP clients
- AI inventory & chargeback —
multimind audit: find shadow AI usage and attribute costs - Deployment — Docker image, docker compose, fully local stack, production notes
- CLI — the
multimindcommand-line interface - RAG — retrieval-augmented generation pipeline
- Memory — agent memory systems
- Configuration — settings and environment variables
- API reference — REST and Python APIs
- Architecture — how the pieces fit together
- Feature status — what is stable, beta, and planned
- Roadmap and Changelog
- Contributing guide — dev setup, code style, good first areas
- Examples — runnable example scripts
Questions? Join the Discord community or open a GitHub issue.