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Browser automation tool for AI agents and humans, providing high-performance web interaction capabilities built in Go

An open-source, vision-first browser agent that drives web automation through visual understanding, supporting complex web interaction tasks for QA testing and workflow automation.

The first LLM-based web agent and benchmark for generalist web agents, providing datasets, evaluation frameworks and baseline methods for building agents that operate on real websites.

An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.