browser-use/jev-ultrafast

What it solves

Jev Ultrafast addresses the latency and inefficiency common in browser automation agents. By reducing the number of network round trips and optimizing how agents interact with web pages, it enables faster, more reliable task execution for goals like searching for flights or navigating complex websites.

How it works

The agent operates by converting the current browser page into a structured table of indexed elements. In a single network request, it decides both the operation (e.g., CLICK, TYPE_TEXT) and the specific target element. It avoids sending screenshots to the model, instead using a lightweight, atomic DOM snapshot. If text input is required, a small, specialized LLM generates the content separately. The system includes built-in guards to validate that targets are clickable and visible before attempting an action, ensuring the agent doesn't waste time on blocked or stale elements.

Who it’s for

This project is for developers and researchers building high-performance browser agents who need to reduce execution time and API overhead. It is suitable for those who prefer working with structured page data over vision-based models and want a transparent, readable codebase for browser automation.

Highlights

• High Efficiency: Achieves significant speed improvements by minimizing browser protocol calls and network round trips.
• Structured Interaction: Uses an indexed element table rather than raw screenshots, keeping the agent's context focused and lightweight.
• Atomic Decision Making: Combines operation and target selection into a single model request.
• Built-in Validation: Automatically checks for element occlusion and page freshness to prevent failed actions.
• Developer-Friendly: Provides a local inspector tool to visualize decision probabilities and step-by-step execution.