Traditional browser automation tools like Selenium and Playwright break when websites change their HTML structure. Skyvern takes a fundamentally different approach: it uses LLMs and computer vision to understand what is on the screen, identify interactive elements by their visual appearance and context, and take actions accordingly. This means automations survive UI redesigns, A/B tests, and dynamic content without maintenance.
The architecture combines a visual understanding model that converts screenshots into structured page representations with an LLM reasoning layer that decides which actions to take. It supports complex multi-step workflows: filling out forms, navigating multi-page processes, handling CAPTCHAs with human-in-the-loop, and extracting structured data from unstructured web pages. Workflows are defined declaratively and can include conditional branching.
Skyvern is AGPL-3.0 licensed with 21,000+ GitHub stars. The open-source version runs locally with Docker. Skyvern Cloud provides managed infrastructure with usage-based pricing for production workloads. Compared to Browser Use (another AI browser tool in the catalog), Skyvern focuses specifically on task automation and RPA rather than general browsing, with stronger benchmark performance on form-filling and data entry workflows.
