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browser-use/jev-ultrafast

  • URL: https://github.com/browser-use/jev-ultrafast
  • Stars: 13943
  • Language: Python
  • Category: AI & Agents
  • Topics: None

What it does

Jev Ultrafast is a Python-based browser agent that automates web interactions by interpreting natural language goals and executing corresponding actions in a browser. It utilizes a small language model (LLM) to generate text inputs and make decisions based on the current state of the web page.

Why it's interesting

Unlike traditional web automation tools that rely on predefined scripts, Jev Ultrafast dynamically determines actions based on real-time observations of the web page, which can lead to faster and more flexible interactions. Its architecture allows for a single network round trip per decision cycle, optimizing performance significantly compared to conventional methods.

How it works

The agent operates by observing the current state of a web page and generating an indexed table of elements. It supports operations like CLICK, TYPE_TEXT, and SELECT, and uses a small LLM to generate text only when necessary. The README details a specific example where it performs a Google Flights search in 7.1 seconds, showcasing its efficiency. The architecture includes components like agent.py for the main loop, snapshot.js for DOM snapshots, and model.py for managing operations and text generation. However, it does not handle all web elements, such as shadow roots or complex interactive widgets, which may limit its applicability in certain scenarios.

Get started in 5 minutes

To try Jev Ultrafast, clone the repository, navigate to the directory, and run the following commands:

git clone https://github.com/browser-use/jev-ultrafast.git
cd jev-ultrafast
uv sync
cp .env.example .env
# Add TYPESAFE_API_KEY and TEXT_MODEL_API_KEY.
uv run jev

Then, open http://127.0.0.1:8766 in your browser to start the demo.

Watch out for

The repository is relatively new, created in September 2026, and may still be in development. It has not been extensively tested across all web scenarios, as it does not support certain complex web elements. Additionally, the README does not specify licensing details, which could be a concern for potential users.