Browser-Use Web UI: Running AI Agents Directly in Your Browser

browser-use/web-ui is an open-source project that provides a web-based interface for running AI agents inside a real web browser. Built on top of the browser-use framework, this project makes it easy to control, observe, and experiment with browser-based AI agents without relying solely on command-line tools.

This Web UI is designed for developers, researchers, and AI enthusiasts who want to explore agentic AI, web automation, and autonomous browsing in a visual and user-friendly way.

What Is Browser-Use Web UI?

Browser-Use Web UI is a graphical dashboard that allows users to:

• Launch AI agents that can browse the web
• Watch browser interactions in real time
• Configure models, prompts, and browser behavior
• Manage persistent browser sessions

Instead of running everything headlessly, the UI exposes the agent’s actions visually, making debugging, demos, and experimentation much easier.

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Core Technologies

The project is built using:

• browser-use
  A framework that enables AI agents to control real browsers (commonly via Playwright).

• Gradio
  A Python UI framework that makes it simple to expose interactive web interfaces.

Together, these tools allow AI agents to interact with live websites just like a human user.

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Key Features

Multi-LLM Support

The Web UI supports multiple Large Language Models (LLMs), including:

• OpenAI
• Azure OpenAI
• Anthropic
• Google
• DeepSeek
• Ollama (local models)

This flexibility lets users switch between cloud-based and local models depending on cost, privacy, or performance needs.

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Real Browser Control

Unlike purely simulated environments, the agents operate inside a real browser. This enables:

• JavaScript execution
• Handling dynamic websites
• Interaction with modern web apps

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Persistent Sessions

Browser sessions can persist across tasks. This means:

• Tabs remain open
• Cookies and sessions are reused
• Long, multi-step workflows are possible

This is especially useful for research, scraping, or authenticated workflows.

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Custom Browser Integration

Users can connect the UI to their own browser profile, allowing AI agents to access websites that require login without re-authentication.

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Docker Support

The project includes Docker and Docker Compose configurations, making it easy to:

• Deploy in isolated environments
• Run on servers or cloud instances
• Use VNC to visually watch the agent’s browser actions

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Installation Overview

Local Installation

1. Clone the repository
2. Create a Python virtual environment
3. Install dependencies
4. Configure environment variables (API keys, model settings)
5. Run the Gradio Web UI

Once running, the UI is accessible via a local web address.

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Docker Installation

Using Docker Compose, you can:

• Build the image
• Start the Web UI
• Access the browser session via VNC or browser preview

This is the recommended option for consistent environments and easier setup.

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Use Cases

Browser-Use Web UI is useful for:

• Testing AI web agents
• Demonstrating agent behavior live
• Automating repetitive browser tasks
• Researching autonomous web navigation
• Learning how LLMs interact with real websites

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Why This Project Matters

This project lowers the barrier to experimenting with browser-capable AI agents. Instead of complex scripts and hidden automation, users get:

• Transparency
• Visual feedback
• Easier debugging
• Faster iteration

As AI agents increasingly move toward real-world interaction, tools like Browser-Use Web UI play a key role in making this technology accessible.

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Summary

browser-use/web-ui is:

• A web-based interface for AI browser agents
• Built with Gradio and browser-use
• Compatible with many LLM providers
• Designed for real browser interaction
• Easy to deploy locally or with Docker

It is a powerful tool for anyone exploring the future of autonomous AI on the web.

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Project Link

GitHub Repository:
https://github.com/browser-use/web-ui