Browser Use

Browser-use is a framework for building autonomous agents that navigate, interact with, and extract data from web interfaces using natural language instructions. By acting as an orchestration layer between large language models and browser automation protocols, it enables the execution of complex, multi-step workflows without relying on brittle selectors. The system functions as a headless browser controller, providing a programmatic interface to manage browser instances and execute granular interactions.

The project distinguishes itself through its ability to translate high-level intent into specific browser primitives, supported by a serialization process that converts complex web page structures into simplified text for model processing. It includes robust support for stateful session persistence, allowing agents to maintain authenticated environments across long-running tasks. Furthermore, the framework facilitates remote browser orchestration, enabling the scaling of automation routines in cloud environments with integrated support for stealth configurations and proxy management.

Beyond its core agent capabilities, the platform provides extensive tooling for structured data extraction and workflow integration. It supports a variety of model configurations and allows for the definition of custom tools to extend interaction logic. The project documentation includes quickstart guides for command-line execution and examples for integrating browser automation into broader software ecosystems.

Features

Autonomous Browser Agents - Intelligent agents navigate and interact with web interfaces based on high-level natural language goals.
Autonomous Web Agents - Deploys autonomous agents that interpret natural language to execute multi-step web navigation and data collection tasks.
LLM-Driven Agent Loops - Orchestrates iterative task execution by processing visual page context and generating actionable commands through language models.
Structured - Converts unstructured web content into clean, typed, and organized data formats through automated extraction routines.
LLM-Powered - Integrates large language models with browser automation protocols to drive complex, multi-step interactions across web applications.

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Features