Open Source TypeScript Emulators

windows95 in Electron is a quirky, nostalgia-driven project that ports a complete emulation of Microsoft Windows 95 into a desktop application that runs on modern operating systems like Windows, macOS, and Linux. It essentially wraps an emulator — preconfigured to boot Windows 95 — inside a user-friendly app built with web technologies so developers and hobbyists can explore the look and feel of that classic OS without needing legacy hardware or complicated setup. Users can interact with familiar UI elements like the Start menu, File Explorer, and retro applications in a sandboxed environment that evokes early personal computing. Beyond being a playful trip down memory lane, the project demonstrates how emulation can be packaged using modern frameworks & how legacy operating systems can be encapsulated as distributable desktop experiences. It’s become an example of how software preservation and creative programming can intersect, inspiring others to bring historic systems to life.

wasmboy is a Game Boy and Game Boy Color emulator built using WebAssembly and JavaScript, designed to run efficiently in both browsers and Node environments. It leverages modern web technologies such as HTML5 canvas and the Web Audio API to deliver graphics and sound directly within a web interface. The project emphasizes portability and integration, allowing it to be embedded into other applications as a reusable dependency. It supports a wide range of emulator features including save states, input handling, and performance tuning options for lower-end devices. WasmBoy also includes a powerful debugging environment that exposes internal emulator components such as CPU registers, memory maps, and graphical data structures. By using Web Workers, it enables parallelized rendering and improved performance across different platforms.

Mobile Next is a Model Context Protocol server designed to enable scalable, AI-driven mobile automation across both iOS and Android environments through a unified interface. It abstracts away platform-specific complexities, allowing developers and AI agents to interact with mobile devices using a consistent set of commands regardless of operating system. The system supports real devices, emulators, and simulators, making it suitable for testing, automation, and data extraction workflows in diverse development setups. One of its key innovations is its hybrid interaction model, which combines structured accessibility data with fallback screenshot-based analysis to ensure reliable automation even in complex UI scenarios. It is built to integrate seamlessly with modern AI agents, enabling multi-step workflows such as automated testing, form filling, and user journey simulation.