injaneity

control your applications using pi-coding-agent. fully invisible.

95
1
100% credibility
Found Apr 21, 2026 at 95 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This package adds screen control tools like screenshots, mouse movements, clicks, typing, and scrolling to the Pi AI agent exclusively for macOS.

How It Works

1
🖥️ Find the Pi screen helper

You hear about a handy add-on for Pi that lets an AI see and control your Mac screen like a human.

2
📦 Add it to your Pi

With one easy command in Pi, you bring in the tools for screenshots, mouse moves, clicks, and typing.

3
🔐 Allow screen access

Pi walks you through giving safe permission to view your screen and send gentle mouse and keyboard inputs.

4
🎮 Ask Pi to control your Mac

You tell Pi 'Take a screenshot and click the button' – it sees exactly what you see and acts precisely.

5
👀 Watch Pi work smoothly

Pi grabs a picture of your window, hovers, clicks, scrolls, or types where needed, then shows you the fresh view.

Your Mac tasks get automated

Now Pi handles screen jobs effortlessly, saving you time on clicks and navigation every day.

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Star Growth

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AI-Generated Review

What is pi-computer-use?

pi-computer-use extends the Pi coding agent with tools to control macOS applications invisibly: screenshot windows, click/double-click/drag/scroll at pixel coords, type text, press keys, and wait for UI changes. It solves agents needing reliable desktop interaction without stealing focus or cursor control, returning fresh screenshots after each action for vision-based reasoning. Built in TypeScript with a native macOS helper, install via `pi install git:github.com/injaneity/pi-computer-use` on macOS 15+.

Why is it gaining traction?

Unlike github control pc or control net tools that often hijack input globally, this stays non-intrusive—posts events to specific PIDs, prefers accessibility APIs for clicks/typing, and handles fallbacks like clipboard paste or raw keys. Developers dig the Pi integration, session-state persistence across tool calls, and prompts like "click the Continue button" that just work. At 95 stars, it's pulling early adopters building computer-use agents.

Who should use this?

macOS devs scripting Pi agents for UI automation, like frontend testers inspecting Safari tabs or QA engineers simulating user flows in Finder/TextEdit. Ideal for researchers prototyping control applications in modern power systems UIs or github control panel dashboards via natural language.

Verdict

Grab it if you're on Pi/macOS and need agent-driven app control—solid docs and manual QA coverage make setup straightforward despite 95 stars and 1.0% credibility score signaling early maturity. Skip for production until more battle-testing.

(198 words)

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