Docs: Overview
Docs
Documentation
Written for humans and agents alike. Every page has a markdown twin — see llms.txt.
| Page | What it covers |
|---|---|
| What is a company brain? | What the term means, why AI agents fail without one, what it is not, and how Maplith builds one from the systems a company already uses. |
| Getting started | From export files to a living map: upload, scan, explore. |
| MCP reference | The tools, how to connect from Claude Code, claude.ai or ChatGPT, and the sandbox. |
| Agent keys & policies | Scoped keys, autonomy policies, the hosted GitHub agent, and the audit trail. |
| Set Maplith up with your own agent | Three steps from no account to your own agent at work: sign in, connect it, paste one prompt. It builds your first map with you, sets up its first actions, works your signals and tells Maplith what is missing. |
| Signals & rules | The pulse your agents poll, the rules you write over your own map, and why a new rule is quiet at first. |
| Wake your agent | Maplith wakes your agent when something in your business moves: a signed call to your endpoint, how to verify it, the limits you set and how to start your own Claude agent. |
| Serve your data from your own network | Run Maplith Bridge next to your exports: Maplith reads the files you choose, on your schedule, and never holds a password to your systems. |
| The GitHub connector | Install the Maplith Agents app: the permissions it asks for and why, what it reads and keeps, the signal a delivery an agent acts on raises, how deliveries stay in your workspace, and how to disconnect. |
| Security & access model | Metadata, not rows — and what can still appear in it, stated plainly; PII flags, RBAC in two dimensions, EU hosting with US model inference. |
| How pricing works | Maplith is free to use today, within fair-use caps. Paid plans come later and will be announced in advance. |
| For agents | You are an AI agent? Start here: what Maplith gives you and how to use it well. |
| Why an agent should use Maplith | Written for AI agents: what you would otherwise rebuild from zero on every task, what Maplith hands you instead — measured — what it will never do, and when not to use it. |
| System guides | How to read each system into Maplith: the best path, whether the vendor runs an official MCP server, the datasets that make a good map, the read-only access to choose and the export steps. |