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Control Center

Introduction

Control Center gives you command over a fleet of AI coding agents. Spawn agents, watch them work in real time, review their PRs, and manage repos, workspaces, and integrations, all from a native desktop app.

What you can do

Section titled “What you can do”
  • Message agents: channels are the primary way to drive the fleet. @-mention an agent and it dispatches into its own isolated worktree, code, review, and open PRs in parallel
  • Orchestrate the big asks: give the orchestrator a goal, approve the whole-team plan it proposes once, and a generated pipeline runs it
  • Review and merge PRs with a built-in diff viewer, inline comments, and AI-powered review
  • Automate workflows with DAG-based pipelines triggered by events or schedules
  • Manage knowledge with workspace-scoped memory, facts, and policies
  • Track work with vendor-agnostic tickets, projects, and delegation
  • Record meetings on-device, transcribed, diarized, and summarized into notes, action items, and decisions
  • See your day with Google Calendar sync, RSVP, meeting alerts, and record-and-link
  • Follow the fleet from your phone: pair a device over a peer-to-peer link and read messages, reply, and triage tickets without the desktop’s data ever leaving it
  • Integrate with GitHub, Linear, Google Calendar, and ~80 MCP tools

It runs as a thin client over a headless server — the desktop spawns its own server by default, but you can also run one headless and connect from the web or your phone. See Deployment and clients for how the desktop, web, and phone clients relate.

Next steps

Section titled “Next steps”