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crshdn / mission-control

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AI Agent Orchestration Dashboard - Manage AI agents, assign tasks, and coordinate multi-agent collaboration via OpenClaw Gateway.

aiagent automation openclaw
937
237
100% credibility
Found Feb 02, 2026 at 63 stars 15x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Mission Control is a dashboard that lets users create tasks which AI agents collaboratively plan through interactive questions, execute autonomously, and deliver as files or results.

How It Works

1
🖥️ Discover Mission Control

You find a friendly dashboard that acts like a project manager for teams of AI helpers.

2
🚀 Get it running

Follow simple steps to launch the dashboard on your computer.

3
🔗 Connect AI service

Link your chosen AI thinkers so the helpers can get to work.

4
➕ Create a task

Type a goal like 'find great coffee makers under $200' and hit create.

5
❓ Answer easy questions

Smart questions pop up with choices to clarify exactly what you need, feeling guided and thoughtful.

6
🤖 Agents take over

Custom AI workers appear automatically and start browsing, creating, or researching for you.

7
📁 See the finished work

Files, reports, and results land in your dashboard ready to review.

✅ Everything done!

Your task is complete with perfect results, and you're excited for the next mission.

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Star Growth

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AI-Generated Review

What is mission-control?

Mission Control is a TypeScript/Next.js dashboard for orchestrating AI agents, turning vague tasks into executed deliverables via a Kanban board. You create tasks, answer AI-guided questions for planning, watch it auto-generate specialized agents, dispatch work through an OpenClaw gateway (supporting Claude, OpenAI, Gemini), and review files or outputs in real-time. It solves the chaos of multi-agent workflows by providing a visual agent orchestration platform that handles task assignment, progress tracking, and file uploads/downloads without manual scripting.

Why is it gaining traction?

With 288 stars, it stands out as a user-friendly agent orchestration tool amid GitHub Copilot hype—offering multi-agent coordination via OpenClaw, unlike single-model tools like Copilot Studio or n8n flows. Devs dig the live event feed, sub-agent spawning, and seamless file handling for agent github repos, making complex agent orchestration patterns feel like managing a dev team. The quick setup (npm install, connect gateway) hooks experimenters tired of CLI-only agent frameworks.

Who should use this?

AI tinkerers building agent github actions or google github agents for code gen/research tasks. Indie devs coordinating Claude-powered teams for web scraping, app prototyping, or content pipelines. Teams wanting a lightweight agent orchestration layer over OpenAI/Anthropic APIs, beyond GitHub Copilot's IDE limits.

Verdict

Grab it if you're prototyping multi-agent systems—v1.0 docs and setup are solid for a 288-star repo. Low 1.0% credibility score flags early maturity (light tests, SQLite-only), so pair with production gates; great for agent orchestration experiments today.

(198 words)

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