dnakov

macOS computer use CLI — screenshots, input simulation, app management, session orchestration

15
1
100% credibility
Found Mar 31, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

computer-use is a macOS command-line tool for desktop control, including screenshots, mouse and keyboard input, app and window management, with optional sessions for added safety guards.

Star Growth

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AI-Generated Review

What is computer-use?

This Swift CLI turns your macOS desktop into a programmable interface, letting you capture screenshots, simulate mouse/keyboard input, manage apps and windows, and orchestrate sessions with safety guards. Built for macOS 14+, it outputs JSON for easy piping into scripts or LLMs, solving the pain of brittle AppleScript or UI automation for computer use agents. Install via Homebrew and grant Accessibility/Screen Recording perms—raw commands like `computer-use input type-text "hello"` or session-based actions like `computer-use session action left_click --coordinate 500,300`.

Why is it gaining traction?

As an open source computer use GitHub repo inspired by Anthropic's computer-use preview, it stands out with session tiers (full/click/read access), auto app-hiding for clean screenshots, pixel-to-screen coord conversion, and clipboard protection—features proprietary tools like computer-use-mcp charge for. The teach mode overlays native tooltips for step-by-step demos, and batch actions handle complex flows without race conditions. Devs dig the native binary speed over Python wrappers.

Who should use this?

AI engineers prototyping computer-use agents or computer-use GitHub Anthropic integrations on macOS. Automation hackers replacing flaky pyautogui with precise input sim and app grants. No-go for Windows/Linux or production without more battle-testing.

Verdict

Grab it for macOS experiments—294 tests and Homebrew formula show polish despite 15 stars and 1.0% credibility score. Early but promising open source computer use tool; fork and contribute if you need computer-use-preview Gemini/OpenAI parity.

(187 words)

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