AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
A high-performance multi-platform system that drives large LED installations and DMX lighting fixtures.
翻譯準備中
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Drive large LED installations and DMX fixtures. One source tree drives ESP32, Teensy, Raspberry Pi, macOS, Windows and Linux.
Flash an ESP32 from your browser and see lights in under a minute: open the web installer in Chrome or Edge, plug in your device, and follow it. No toolchain, no recompile. The Getting started guide takes you from a blank board to a running light show.
No hardware handy? The desktop build runs the same UI and effect pipeline on macOS, Windows and Linux, driving fixtures over Art-Net, DDP or E1.31.檢視完整 README ↗Drive large LED installations and DMX fixtures. One source tree drives ESP32, Teensy, Raspberry Pi, macOS, Windows and Linux.
Start on whatever device you have. The web installer flashes an ESP32 from Chrome or Edge in under a minute. A Teensy takes it too, the desktop build runs on Windows, Linux and macOS, and a container runs it anywhere. Every device runs the same interface and light pipeline, and several work together as one installation, driving LEDs and DMX fixtures over Art-Net, DDP and E1.31. Install MoonLight covers each platform step by step, and Show an effect on your lights takes it from there.
If you like MoonLight, give it a star, fork it, or open an issue. It helps the project get noticed.
MoonLight is built by AI agents under tight human direction. The product owner authors the process, the architecture and the module specifications. They decide what to build, review every line, test on hardware and control every commit and release. Agents write; the product owner thinks.
Ideas, code, hardware tests and conversation are all welcome: how to take part.
See LICENSE: GPL-3.0. MoonLight is provided as is, without warranty: like any software it has bugs, and you use it at your own risk.