Robotgo is a cross-platform desktop automation framework for the Go programming language. It provides a comprehensive toolkit for programmatically interacting with graphical user interfaces, enabling developers to simulate human input, manage application windows, and monitor system-wide hardware events. The library distinguishes itself through its low-level system integration, utilizing a foreign function interface to interact directly with native operating system APIs. It employs pixel-buffer memory mapping and real-time screen capture to perform visual element identification, allowing for i
Agent-S is a multimodal AI agent and LLM desktop automation framework designed to control operating systems through graphical user interface interactions. It functions as a computer use interface, utilizing vision-language grounding to translate natural language goals into precise screen coordinates and system actions. The project differentiates itself by combining structured accessibility tree inspection with vision-based element localization. It manages cross-application workflows by mapping conceptual descriptions to physical pixels and simulating low-level keyboard and mouse events to mov
Robotjs is a native Node.js automation library and desktop input simulator. It uses C++ bindings to provide low-level access to operating system functions, allowing for the programmatic control of the mouse and keyboard and the analysis of screen pixels. The library functions as a toolkit for automating user interfaces and desktop workflows, including those within Electron applications. It enables the simulation of key presses and mouse movements to automate interactions with desktop software and perform automated data entry. Its capabilities extend to screen pixel analysis, where it capture
Bytebot is an LLM desktop automation framework and virtual Linux desktop environment. It enables AI agents to plan and execute mouse and keyboard actions on a virtual computer using natural language, allowing for autonomous desktop automation and the integration of legacy systems that lack native APIs. The system operates as an LLM API gateway and a Model Context Protocol server, routing requests across multiple language model providers with integrated load balancing and rate limiting. It provides isolated, containerized environments where agents use visual reasoning to interpret screenshots