Awesome GitHub RepositoriesLLM-Driven Automation

This project is an automation framework that connects large language models to web browsers via the Chrome DevTools Protocol for autonomous task execution. It functions as a bridge between intelligent agents and browser engines, allowing for the direct control of browser sessions and profiles. The framework features a self-healing agent capable of generating and executing custom scripts during runtime to resolve failures and optimize browser tasks. It supports stealthy deployment through the use of integrated proxies and captcha solvers to bypass bot detection and security mitigations. The s

OpenBrowser is an AI web agent toolkit and automation framework designed to translate natural language instructions into executable browser workflows. It functions as a headless browser controller and orchestrator, enabling the creation of autonomous agents that navigate websites, interact with elements, and extract data using plain English commands. The system features a sandboxed execution environment that utilizes domain whitelists and memory limits to ensure secure web interaction. It distinguishes itself through a command-line interface for triggering autonomous tasks with configurable m

LaVague is an LLM web agent framework and large action model designed to translate natural language instructions into executable browser automation scripts. It functions as a multi-modal orchestrator that reasons over web page states and HTML content to automate multi-step tasks via a Selenium-based automation engine. The framework features a modular model provider layer, allowing users to swap between different language and vision models from providers such as Anthropic, Gemini, and Azure OpenAI. It employs a multi-modal world model to process screenshots and HTML structures, utilizing retri