Browser Use
Connect AI agents to the browser for web tasks
Browser Use is profiled here as a LLM tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Browser Use is an open-source library founded in 2024 by Magnus Müller and Gregor Žunič that lets AI agents control a real browser. It extracts the interactive elements of a page into a structure the model can act on, so an agent can navigate, fill forms, and complete multi-step tasks across websites. The project drew wide adoption quickly and works with any LLM through LangChain-compatible model interfaces. Rapid adoption followed its release, and the library now backs open projects and commercial products that automate web tasks. Exposing the page as structured elements lets the model act reliably without brittle pixel-level scripting.
Key Capabilities:
Page state extraction that exposes interactive elements to the model
Multi-step web navigation, clicking, and form filling
Model-agnostic support across major LLM providers
Multi-tab handling and structured data extraction
Reusable task workflows for repeatable automation
MIT license with a hosted cloud option for scaling
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