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Mission Control

Self-hosted control plane for AI agents — dispatch tasks, review runs, and track spend from one dashboard

★ 5,852 GitHub MIT ai-agentscontrol-planemonitoringagent-orchestrationself-hostedopen-source AI Agents

Overview

Mission Control is an open-source, self-hosted dashboard designed to manage and monitor AI agent operations across multiple runtimes. It provides a unified interface for dispatching tasks to agents like OpenClaw, Claude Code, and Codex, reviewing execution logs, tracking token usage and spending, and managing agent configurations. Built for teams that need visibility and control over their AI agent infrastructure, Mission Control replaces scattered terminal sessions and ad-hoc monitoring with a centralized operations hub. Features include real-time run monitoring, cost tracking per agent and task, audit logging, and team collaboration support. With 5,800+ GitHub stars and an active open-source community, it's one of the fastest-growing tools for AI agent operations.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  mission-control:
    image: ghcr.io/builderz-labs/mission-control:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/mission-control:/data

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Guides & articles

How to Deploy and Use Mission Control for AI Agents - A Step-by-Step Tutorial

Step-by-step tutorial on deploying Mission Control with Docker Compose, connecting agent runtimes, dispatching tasks, and monitoring spending from a single dashboard.

Jul 26, 2026

Mission Control: The Ultimate Control Plane for AI Agent Operations

A comprehensive guide to Mission Control, the open-source self-hosted dashboard for dispatching tasks, monitoring runs, and tracking costs across multiple AI agent runtimes including OpenClaw, Claude Code, and Codex.

Jul 26, 2026