browser-use open source analysis
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Project overview
⭐ 72584 · Python · Last activity on GitHub: 2025-11-16
Why it matters for engineering teams
Browser-use addresses the practical challenge of enabling AI agents to interact with websites in an automated and reliable manner. It provides software engineers with tools to script browser actions, making it easier to automate repetitive online tasks or integrate web data into AI workflows. This open source tool for engineering teams is particularly suited to machine learning and AI engineering roles focused on building intelligent agents that require web access. The project is mature and widely adopted, demonstrating stability and reliability for production use. However, it may not be the best fit for teams needing lightweight or purely backend automation solutions, as it relies on browser automation frameworks which can add complexity and resource overhead.
When to use this project
Browser-use is a strong choice when your project requires robust browser automation combined with AI capabilities, especially for tasks like web scraping or interacting with dynamic web content. Teams should consider alternatives if they need minimal dependencies or simpler HTTP-based automation without full browser control.
Team fit and typical use cases
Machine learning and AI engineers benefit most from browser-use by integrating it into AI agents that navigate and interact with websites as part of their workflows. It is commonly used in products involving automated data extraction, testing of web interfaces, or AI-driven online task automation. Its production ready solution status and self hosted option for browser automation make it a practical choice for teams building intelligent web-interacting applications.
Best suited for
Topics and ecosystem
Activity and freshness
Latest commit on GitHub: 2025-11-16. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.