Getting started
What is Mission Control?
Mission Control is the durable control plane for an AI organization: one place to give agents an objective, supervise their work, review evidence, and retain human authority over consequential actions.
The problem it solves
AI agents often work across separate terminals, repositories, model providers, schedulers, and dashboards. Mission Control turns that fragmented activity into missions, tasks, executions, approvals, and artifacts that a human can understand at a glance.
How it works
You launch a mission from a reusable template or a focused objective. Mission Control assigns bounded tasks to capable agents, records meaningful activity in an append-only event log, surfaces progress and evidence, and pauses whenever policy requires human judgment.
What makes it different
Mission Control manages outcomes rather than pretending every agent is trustworthy or autonomous. Codex, Hermes, Claude Code, and generic agents sit behind common execution boundaries, while deterministic policies and parameter-bound approvals keep authority with the human operator.
Start small
Create a personal workspace, connect one agent with the guided one-command flow, and launch the read-only repository-analysis mission. The goal is to reach a genuine heartbeat, execution, and artifact in under ten minutes without reading the rest of the documentation first.