Neverclick

OpenLogi is a native, local-first desktop application and CLI for configuring Logitech mice, keyboards, lights, and UVC webcams without Logitech Options+, an account, or telemetry. Written in Rust with GPUI, it communicates with supported devices through HID++, UVC, Logi Bolt and Unifying receivers, Bluetooth, or wired connections. It provides button and F-key remapping, DPI presets, SmartShift controls, gesture bindings, device-specific settings, per-application profile overlays, webcam image controls, and plain-text TOML configuration; the GUI and CLI run on macOS, Linux, and Windows, although some profile and platform actions have narrower support. The repository states that the project is under active development and not yet stable.

typesafe-computer-use is an open-source macOS computer-use tool that drives a Mac toward a plain-English goal. It captures the frontmost window, reads text with OCR, collects labelled controls from the macOS accessibility tree, parses dates, and sends a structured list of possible actions to the TypeSafe decision model instead of sending screenshots to a frontier model for every step. The loop chooses actions such as clicking, scrolling, browser navigation, waiting, or pressing keys; a writing model is called only for free-text entry, proposed URLs, and the final answer, while passwords are never typed. It supports dry runs, confidence and step limits, annotated captures, detailed action and probability logs, and offline replay of saved screenshots. The repository targets macOS 14 or newer with Python 3.12 or newer, requires a TypeSafe API key, and is licensed under the MIT License.

MacTap is a macOS menu-bar app that turns one, two, or three knocks on a compatible MacBook chassis or the desk beneath it into keyboard shortcuts and other mapped actions. It supports left- and right-edge layouts, configurable sensitivity and actions, presets such as Daily, Coding, Capture, Media, and Focus, and per-application overrides. Tap classification runs on-device, with gesture mappings stored locally and nothing uploaded. It requires macOS 14.6 or later and a MacBook whose motion sensor is exposed as an SPU HID device, including M2-and-later models and M1 Pro, Max, or Ultra systems; some M1 models, including the original M1 Air, are unsupported. The app requires Accessibility permission for actions to send shortcuts, is distributed as a signed and notarized macOS app, and is licensed under the MIT license.

DesktopFly is a macOS desktop companion that places a procedural 3D fruit fly on a transparent, click-through overlay. The fly walks across window edges, grooms, sleeps, flies, and responds to cursor movement, clicks, window changes, keyboard activity, time of day, and thermal state without requiring permissions or entitlements. A separate interactive brain window displays 23,210 FlyWire neuron soma positions and live spikes. Its behavior is driven by a 1 kHz leaky-integrate-and-fire simulation of a 668-neuron circuit containing approximately 19,000 real synaptic connections. Cursor approach is converted into looming input for LC4 and LPLC2 visual neurons; escape is produced only when activity reaches the DNp01/Giant Fiber escape command neuron through the modeled synapses. Other circuit outputs drive walking speed, steering, grooming, backward movement, wing effort, escape maneuvers, arousal, and spontaneous takeoff. The loop also feeds gait rhythm to ascending proprioceptive neurons and fast cursor motion to sensory wind partners. The body geometry and sensory transduction are procedural or modeled, while the downstream connectivity and synaptic strengths come from FlyWire data. The project targets macOS 13 or later and requires the Xcode Command Line Tools. Menu-bar controls provide pausing, brain-window visibility, escape testing, movement between displays, adding or removing flies, and starting a collective startle response; the brain window can stimulate nearby circuit neurons for 400 ms. The code is MIT-licensed, while derived FlyWire data files are CC BY-NC 4.0.

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.