MacTap

Lid Plane is a macOS menu bar app that creates a MacBook lid-folding illusion using the laptop's hinge-angle sensor. It captures the built-in display with ScreenCaptureKit, reshapes the captured image with a Metal shader as the lid moves, and blends increasingly blurred copies using Metal Performance Shaders; the blur increases with lid movement and is stronger near the top of the display. The app can use a selected activation angle or a movement-based mode that anchors the effect after motion stops, while the underlying applications remain clickable and retain keyboard focus. It requires macOS 13 or newer, an Apple silicon MacBook, a supported lid-angle sensor, and Screen Recording permission. The effect applies only to the built-in display, pauses during closed-lid or unsupported-display states, and keeps captured frames in memory without saving or transmitting them. It is built with Swift, ScreenCaptureKit, IOKit, and Metal, and is distributed as a downloadable app for Apple silicon. The repository is licensed under GPLv3-or-later from version 0.3.2 onward; version 0.3.1 and earlier remain MIT-licensed.

Mac Duo is a free macOS menu-bar app that recreates the iPhone Duo visual effect on compatible MacBooks. As the lid closes, it uses the built-in lid-angle sensor and ScreenCaptureKit to capture and render the live screen, while Metal applies perspective, blur, and dimming. The perspective is adjustable, and the app supports English and Simplified Chinese. It requires macOS 14 or later, a compatible built-in lid-angle sensor, and Screen Recording permission. Prebuilt downloads are provided for Apple Silicon and Intel Macs; the project can also be built with Xcode using Swift 6.0 or later. The effect applies only to the built-in display, stops when macOS sleeps, and passes clicks through to the applications underneath. The code is licensed under Apache License 2.0.

Capptivo is a free, open-source screen recorder and editor for creating demo videos on macOS, Windows, and Linux. It tracks cursor movement and clicks to apply follow-cursor and click-based automatic zooms, and provides editor presets, annotations, facecam, backgrounds, captions, and MP4, WebM, or GIF export. Captions use a system whisper.cpp command-line binary, with model weights downloaded on first use. The application captures macOS screens through ScreenCaptureKit with VideoToolbox H.264 encoding, Windows screens through Windows.Graphics.Capture with hardware-encoding support, and Linux screens through xdg-desktop-portal and PipeWire. It is distributed through platform installers, including DMG or app archives for macOS, MSI or setup executables for Windows, and DEB, AppImage, or RPM packages for Linux. The repository releases it under the MIT license.

Mac Duo is a native Swift and Metal macOS app that makes desktop effects follow the position of a MacBook lid. It provides six transitions—Duo, Ghost, Roll, Shutter, Flex, and Iris—that animate the desktop around the hinge, including panel sliding, display curling, bowing, or iris-like closure. The app includes live preview, floating controls, menu-bar access, pause controls, and an option to clear the screen after the lid remains still. It runs locally without third-party runtime dependencies, accounts, analytics, or screen-content uploads; screen frames remain in memory when Screen Recording permission is enabled. It supports macOS 13 Ventura or newer on compatible Apple-silicon MacBooks, with an Intel preview for the 2019 16-inch MacBook Pro, and is distributed under the MIT license.

macOS Harness is an experimental, MIT-licensed, macOS-only Python harness from browser-use that gives an LLM or coding agent raw primitives for controlling a Mac in one persistent Python process, without app-specific tools, recipes, or framework rails. Its six core primitives—`see`, `key`, `type`, `click`, `ax`, and `script`—capture native and Electron app windows, send keyboard and coordinate input directly to an application process, expose Apple Accessibility and Apple Events, execute AppleScript, and draw a click-through pointer without moving the physical cursor. The agent can write missing task logic in ordinary Python during execution. The same process provides access to a real, logged-in Chrome browser through Browser Harness, as well as the local filesystem and shell commands through Python, `Path`, and `subprocess`. It can capture background application windows without bringing them to the foreground and does not activate or raise the target app. The project includes installation and skill-registration workflows, a `doctor` command for checking required macOS permissions, and verification instructions. Anonymous telemetry is enabled by default and records the CLI command category, success, duration, package version, operating system and architecture, and detected agent client; the project states that it does not record prompts, app names, screenshots, UI text, scripts, paths, or window titles, and provides `macos-harness telemetry disable` to turn telemetry off.