DanWahlin

Tauri 2 + Phaser 4 desktop dashboard that visualizes live GitHub Copilot CLI activity.

11
1
100% credibility
Found May 28, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Copilot Mission Control is a desktop dashboard that watches your AI coding assistant's work in real time and displays it as an animated mission map. It reads the session data your assistant already saves locally, groups activity into nine color-coded sectors (edits, reads, commands, web lookups, hooks, sub-agents, skills, intent, and MCP tools), and alerts you when something stalls or fails. You can replay recent activity, drill into specific tool calls through an inspector, and switch between light and dark themes or space and medieval visual styles. Everything runs locally on your machine — the app never sends your prompts, file contents, or command output anywhere.

How It Works

1
💬 You hear about a new dashboard

A friend tells you about Copilot Mission Control — a live dashboard that shows what your AI coding assistant is doing in real time.

2
🖥️ You download and install the app

You grab the installer for your computer (macOS, Windows, or Linux) from the releases page and run it like any other app.

3
🚀 The app opens and shows a mission map

The dashboard launches with a colorful animated space map and immediately starts watching your AI assistant's work behind the scenes.

4
👁️ You watch live activity appear on the map

As your AI assistant reads files, runs commands, edits code, and fetches web pages, colored signals light up on the map in real time so you can see exactly what's happening without scrolling through terminal output.

5
You want to dig deeper
🔎
Inspect specific tool calls

You filter the inspector to see MCP tools, skill calls, or failed commands and click any row to see safe details about what happened.

Replay recent activity

You pause and scrub through the timeline to watch what your AI assistant did step by step, then jump back to see it live.

6
⚠️ You spot a stalled or failed task

A red alert or orange warning ring catches your eye — the map tells you something needs attention right away so you can jump in and fix it.

🎉 You have full visibility into your AI assistant

Instead of guessing what your AI assistant is doing, you can see every tool call, skill, hook, and sub-agent as it happens — and catch problems the moment they arise.

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AI-Generated Review

What is copilot-mission-control?

Copilot Mission Control is a desktop dashboard that gives you a real-time visual map of what GitHub Copilot CLI is doing on your machine. Instead of scrolling through terminal output, you get an animated mission-control interface showing tool calls, hook executions, sub-agent dispatches, and skill invocations as they happen. It reads the session state files Copilot CLI already writes locally and renders them as a space-themed (or medieval-themed) map with nine activity sectors. Built with Tauri 2 and Phaser 4, it runs as a native desktop app on macOS, Windows, and Linux.

Why is it gaining traction?

The hook is simple: developers using Copilot CLI have no good way to watch what's happening mid-session. This dashboard makes the invisible visible. The mission metaphor works surprisingly well for mental mapping of activity patterns, and the attention alerts flag sessions that need review before you lose context. The privacy design is thoughtful too--the live feed shows sanitized summaries only, with an explicit opt-in for raw tool details that stay local. Focus mode is a practical touch for second-monitor setups.

Who should use this?

Developers who use GitHub Copilot CLI daily and want to understand their session activity patterns. Power users who run multiple concurrent Copilot sessions and need to track which one is doing what. Teams debugging Copilot behavior or investigating stalls. If you just use Copilot in your IDE and never touch the CLI, this won't be useful.

Verdict

Copilot Mission Control solves a real problem for CLI users with a distinctive visual approach. The privacy-first design and replay controls show thoughtful engineering. However, with only 11 stars and a 1.0% credibility score, this is an early-stage project from a single author. The documentation is solid for a hobby project, but test coverage and release cadence suggest it hasn't seen wide adoption yet. Worth trying if you're a Copilot CLI power user, but don't bet production workflows on it until the project matures.

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