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.
Why You Need a Control Plane for AI Agents
As organizations adopt AI agents for increasingly complex tasks, managing these agents becomes a challenge. Running multiple agents across different terminal sessions, tracking which task went to which agent, and keeping tabs on costs quickly becomes unmanageable. Mission Control solves this by providing a unified, self-hosted dashboard that brings all your AI agent operations under one roof.
🚀 Want to deploy Mission Control yourself?
Docker configs, system requirements, and installation guides — all on one page.
View Mission Control Tool Page →What is Mission Control?
Mission Control is an open-source, self-hosted control plane designed specifically for AI agent operations. Built by Builderz Labs, it has quickly gained traction with over 5,800 GitHub stars and an active community of contributors.
At its core, Mission Control acts as a central hub where you can:
- Dispatch tasks to AI agents including OpenClaw, Claude Code, and Codex
- Monitor runs in real-time with detailed execution logs
- Track spending per agent, per task, and across your entire infrastructure
- Manage configurations for all your connected agents from one place
- Collaborate with team members through shared dashboards and audit logs
Key Features
| Feature | Description |
|---|---|
| 🎯 Task Dispatch | Send tasks to any connected agent runtime with a single click |
| 📊 Real-time Monitoring | See agent runs as they happen with live log streaming |
| 💰 Cost Tracking | Monitor token usage and spending across all agents and tasks |
| 📋 Audit Logs | Complete history of all agent operations for compliance |
| 🔌 Multi-Runtime Support | Works with OpenClaw, Claude Code, Codex, and more |
| 👥 Team Collaboration | Shared dashboards and role-based access control |
Getting Started
Mission Control is distributed as a Docker image, making deployment straightforward:
docker pull ghcr.io/builderz-labs/mission-control:latest
docker run -d -p 8080:8080 -v ./data:/data ghcr.io/builderz-labs/mission-control:latest
Once running, access the dashboard at http://localhost:8080 and follow the setup wizard to connect your first agent runtime.
🚀 Ready to take control of your AI agents?
Full system requirements, Docker Compose setup, and deployment guide available.
View Mission Control Tool Page →Conclusion
Mission Control fills a critical gap in the AI agent ecosystem. As teams scale from running one or two agents to dozens, the need for centralized visibility, cost control, and operational management becomes essential. With its intuitive dashboard, multi-runtime support, and active open-source community, Mission Control is the control plane your AI agent infrastructure deserves.