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✦ Free & open sourceSoftware

Mission Control

Self-hosted control plane to dispatch tasks, track spend, and operate AI agent runtimes.

Mission Control for AI Agents

Dispatch tasks, inspect runs, and coordinate OpenClaw, Claude Code, and Codex from one dashboard.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.5
ZEKAI
Self-hosted AI agent control plane
Free & open source · Software
Ease of setup5
Usefulness8
Maintenance9.5
Community7.5
★ 6,352
GITHUB
Oct 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Mission Control is a self-hosted dashboard backed by SQLite for operating AI agents across multiple runtimes. It suits developers managing complex multi-agent workflows who need a single place to track tasks, review failures, and monitor spend.

Runs on
Web
Hosting
Self-host
Languages
TypeScript
License
MIT

What it is

It sits above agent runtimes like OpenClaw, Claude Code, and Codex to handle task dispatch, execution review, Aegis quality gates, and completion receipts. The interface provides a web UI, CLI, MCP server, and a REST API backed by local SQLite storage.

Who it's for

It suits developers running multiple AI agent squads who need centralized queues, execution logs, and governance. It is the wrong tool if you run a single agent from its native CLI or need a managed multi-tenant SaaS.

Key features

Multi-Runtime Support

Operate OpenClaw, Claude Code, Codex, and other agent runtimes from a single local dashboard.

Aegis Quality Gate

Require mandatory approval records and completion receipts before tasks reach done status.

Memory and Skills Hub

Inspect filesystem-backed memory graphs and discover local skill roots before installation.

Multiple Interfaces

Interact with tasks and agents using the web UI, CLI, MCP server, or REST API.

How to start

Up and running in 3 steps

1
Clone the repository and run bash install.sh --local or use Docker Compose
2
Open http://localhost:3000/setup to create your first admin account
3
Export your MC_URL and MC_API_KEY environment variables to connect agents
Real talk

Our honest verdict

What's great

  • Coordinates multiple disparate AI agent runtimes from one local dashboard
  • Includes built-in Aegis quality gates and mandatory review workflows
  • Tracks token use, spend, and system events in an activity stream
  • Provides a Model Context Protocol (MCP) server for Claude integration

Where it falls short

  • Alpha software with APIs, schemas, and configurations subject to change
  • Requires Node.js 22 or Docker with manual setup and security configuration
  • Live session messaging requires a connected runtime gateway
Cost

Pricing & license

Free under its MIT licence, with the only cost being running the self-hosted software on your own infrastructure.

Paid work

Open remote AI-training roles

767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

What agent runtimes does Mission Control support?

It supports OpenClaw, Claude Code, Codex, CrewAI, LangGraph, AutoGen, and Claude SDK workflows with varying depth.

Is Mission Control an agent framework?

No, it sits above agent runtimes and does not replace their reasoning or tool loops.

How is data stored?

State is stored locally in SQLite using better-sqlite3 with WAL mode enabled.

Radar

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