manish-raana

Mission Control is a simple, real-time web UI for monitoring agents and task workflows. Built with Convex and React, it provides a clean dashboard to track task state, agent activity, and live logs — all synchronized instantly without polling or message queues.

229
51
89% credibility
Found Feb 02, 2026 at 12 stars 19x -- 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 real-time web dashboard for monitoring AI agents, managing task queues in a kanban view, and tracking deliverables with live activity feeds.

How It Works

1
🖥️ Discover Mission Control

You find this dashboard on GitHub, a command center to watch your AI helpers tackle missions together.

2
🚀 Launch your dashboard

Follow easy steps to get it running on your computer, and your personal mission screen lights up.

3
🔐 Sign up as commander

Create a simple login to take full control of the operation.

4
👥 Meet your AI team

Your roster of smart agents appears on the side with ready tasks flowing across colorful columns – your squad is assembled!

5
🔗 Connect your AI runners

Copy a helper snippet to your AI tool so all their work shows up here automatically.

6
Watch missions in real-time

Give your AIs jobs, see new tasks zip into action, comments stream live, files appear, and everything moves to done – pure oversight magic!

🎉 Command your AI empire

Now you oversee every agent action, task update, and creation in one live view, running operations like a pro.

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Star Growth

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AI-Generated Review

What is openclaw-mission-control?

Mission Control delivers a real-time web dashboard for tracking AI agent activity and task workflows, built in TypeScript with React and Convex. It shows a kanban-style queue (Inbox to Done), live agent status, comments, documents, and an activity feed—all syncing instantly across clients without polling or queues. Users get a clean mission control center to oversee OpenClaw agent runs, capturing prompts, progress, errors, and outputs like a github mission control app.

Why is it gaining traction?

It hooks directly into OpenClaw via simple config changes, auto-creating tasks from prompts and updating them on completion—far easier than building custom logging. Real-time features like live logs and agent counts make agent activity feel alive, unlike static tools. Developers grab it for the zero-setup path to mission control github-style visibility on agent swarms.

Who should use this?

OpenClaw users running agent missions who need a github mission control switch for task tracking. Indie devs prototyping AI workflows, or teams handling mission-critical github agent activity without dashboards. Ideal if you're tired of SSH tails or scattered logs for mission control paramedic-style oversight.

Verdict

Grab it if OpenClaw is your stack—137 stars show early buzz, and setup is straightforward with Convex hosting (0.9% credibility score flags it as nascent; fork and test thoroughly). Solid for dev previews, less for production mission control plus without more releases.

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