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Web Ui

Open Source
★ 16,026 • Updated Aug 15, 2026, 08:57 PM

Web UI is an open-source web application that provides a graphical interface for running AI agents capable of controlling a web browser.

Use Cases ▼
01

Automating repetitive web research and data collection

02

Testing web applications with AI-driven interactions

03

Scraping structured data from websites

04

Performing complex multi-step browser workflows

05

Demoing AI agent capabilities for stakeholders

06

Prototyping browser automation solutions

What Problem It Solves ▼

Web UI addresses the complexity of setting up and running browser-based AI agents by offering a user-friendly web interface. It removes the need to write code or interact with command-line tools, allowing users to focus on defining tasks in natural language and monitoring the agent's progress.

Key Features ▼
✓

Intuitive web interface for non-technical users

✓

Open source and free to use

✓

Built on the robust browser-use library

✓

Supports multiple large language models

✓

Customizable and extensible

Overview

Web UI is an open-source web application that provides a graphical interface for running AI agents capable of controlling a web browser. It is built on top of the browser-use library, which enables large language models to interact with web pages by performing actions such as clicking, typing, and navigating.

Full Description ▼

The tool allows users to input natural language tasks, configure the AI model (such as OpenAI GPT-4 or Anthropic Claude), and observe the agent's actions in real-time within the browser. It supports multiple LLM providers and can be extended with custom tools.

Web UI is designed to be self-hosted, giving users full control over their data and execution environment. It simplifies the deployment of browser automation agents for tasks like web scraping, testing, and research.

As an open-source project, it encourages community contributions and is available under a permissive license, making it accessible for both personal and commercial use.

Pros & Cons

Pros

+

Intuitive web interface for non-technical users

+

Open source and free to use

+

Built on the robust browser-use library

+

Supports multiple large language models

+

Customizable and extensible

Cons

−

Requires self-hosting and technical setup

−

Limited to browser automation tasks

−

May incur costs for LLM API usage

−

Dependent on external AI model providers

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