What is Mission Control?

Welcome to Mission Control

Mission Control is an open-source Next.js dashboard designed for orchestrating AI coding agents. It gives developers a single pane of glass to plan, dispatch, and monitor work across multiple AI agents simultaneously.

At its core, Mission Control treats software tasks as first-class objects. You create a task by describing what you want done, optionally supplying context like affected files, priority level, or tags. Mission Control then uses AI to break that work into actionable steps and dispatches it to the agent best suited for the job.

What Problems Does It Solve?

Modern AI coding tools like Claude Code, Codex CLI, and Gemini CLI are powerful in isolation, but managing them manually across many tasks becomes unwieldy fast. Mission Control solves this by providing:

• Centralized task creation — write once, dispatch anywhere
• AI-assisted planning — let the system decompose large projects into focused subtasks
• Real-time monitoring — watch agents work through Server-Sent Events (SSE) without polling
• A persistent record — every task, agent action, and outcome is stored in SQLite for later review

The Core Loop

Working with Mission Control follows a simple loop:

1. Create — describe a task in plain language
2. Plan — optionally invoke AI planning to expand the task into steps
3. Dispatch — assign the task to an available agent
4. Monitor — watch the activity dashboard for live status updates
5. Review — inspect the completed output and close or iterate on the task

This loop scales naturally. You can have dozens of tasks across multiple agents running in parallel, all tracked from the same dashboard.

Who Is It For?

Mission Control is built for developers who already use AI coding assistants and want to move beyond one-at-a-time interactions. If you’ve ever wished you could queue up a list of tasks for your AI agent to work through while you focus on something else, Mission Control is the tool for you.

It runs locally on port 4000 by default, keeping your code and task history on your own machine.