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Browser Use vs Browser Use Web UI

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

Browser Use

Open source · MIT

Open-source Python library that lets an AI agent control a web browser to complete tasks.

Browser Use Web UI

Open source · MIT

A Gradio web interface for running browser-automating AI agents with your choice of language model.

The short answer

Choose Browser Use if you need…

  • Python developers who want to prototype an AI agent that operates websites
  • Teams automating repetitive multi-step web tasks such as lookups or form filling
  • People who want to run the agent locally with their own LLM API key
  • Users who need a cloud browser for environments without Chrome, such as Docker or CI

Choose Browser Use Web UI if you need…

  • People who want to try browser-automation AI agents without writing code
  • Developers experimenting with different LLM providers such as OpenAI, Anthropic, or Ollama
  • Users who want the agent to use their own logged-in Chrome profile
  • Anyone who wants to watch agent sessions through a VNC viewer in Docker

Side-by-side

Browser UseBrowser Use Web UI
TypeLibraryApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars120k16.6k
Setup difficultyIntermediateIntermediate
How you get itInstall with a package managerClone and build from source
Main languagePythonPython
Last code update4 days ago42 days ago

What each one is

Browser Use

Browser Use is a Python library that connects a language model to a web browser so an AI agent can click, type, and navigate pages to finish a task you describe in plain language. You can run it locally with your choice of model, or use a cloud browser service from the same project. The README's example task is looking up a repository's star count, and a demo shows the agent booking a driving test.

Browser Use Web UI

Web UI is a browser-based control panel for the browser-use project, which lets AI agents operate a web browser to complete tasks on websites. You configure an LLM provider and browser settings in a web page, then give the agent a task and watch it work. It is built on Gradio and supports most browser-use functionality.

Best for

Browser Use

  • Python developers who want to prototype an AI agent that operates websites
  • Teams automating repetitive multi-step web tasks such as lookups or form filling
  • People who want to run the agent locally with their own LLM API key
  • Users who need a cloud browser for environments without Chrome, such as Docker or CI

Browser Use Web UI

  • People who want to try browser-automation AI agents without writing code
  • Developers experimenting with different LLM providers such as OpenAI, Anthropic, or Ollama
  • Users who want the agent to use their own logged-in Chrome profile
  • Anyone who wants to watch agent sessions through a VNC viewer in Docker

Strengths

Browser Use

  • Works with a chosen LLM provider, and the README shows OpenAI as an example
  • Same agent code runs locally or on a cloud browser with a single change
  • MIT licensed and actively pushed

Browser Use Web UI

  • Provides a graphical interface on top of browser-use, so no code is needed to start
  • Supports multiple LLM providers, including Google, OpenAI, Azure OpenAI, Anthropic, DeepSeek, and Ollama
  • Offers Docker setup with a VNC viewer for watching the browser

Not ideal for

Browser Use

  • Non-programmers who want a no-code tool; the README's main path is Python code or an agent prompt
  • Projects needing fully deterministic scripts, since the agent's behavior depends on a language model
  • Anyone unwilling to pay for cloud browsers or manage API keys for the hosted options

Browser Use Web UI

  • Production systems needing hardened, audited automation, since the README describes it as a UI layer and gives no production guidance
  • People without an API key or a local model setup, because the agent needs an LLM to run
  • Users who need a fully hands-off, no-configuration tool, since setup involves editing a .env file

Trade-offs

Browser Use

  • Depends on a paid or API-keyed language model and, for cloud features, a Browser Use API key
  • Cloud browser pricing and hosted features are described by the vendor and sit outside the open-source code
  • The README is truncated, so some details of setup and configuration are not confirmed here

Browser Use Web UI

  • The README is truncated and gives limited detail on configuration options beyond the basics
  • Using your own browser requires closing all Chrome windows and a specific workflow, which can be fiddly
  • Agent results depend on the chosen LLM and the README does not evaluate reliability

Getting started

Browser Use

Install the library with uv

uv add browser-use
Step-by-step guide: how to use Browser Use

Browser Use Web UI

Clone the repository

git clone https://github.com/browser-use/web-ui.git

Create the Python environment

uv venv --python 3.11
Step-by-step guide: how to use Browser Use Web UI

Frequently asked questions

What is the difference between Browser Use and Browser Use Web UI?

Browser Use: Open-source Python library that lets an AI agent control a web browser to complete tasks. Browser Use Web UI: A Gradio web interface for running browser-automating AI agents with your choice of language model. Browser Use suits python developers who want to prototype an ai agent that operates websites, while Browser Use Web UI suits people who want to try browser-automation ai agents without writing code.

Are Browser Use and Browser Use Web UI free?

Browser Use: Free and open source. Browser Use Web UI: Free and open source.

Is Browser Use or Browser Use Web UI more popular?

Browser Use has more GitHub stars (120k) than Browser Use Web UI (16.6k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Browser Use and Browser Use Web UI?

Other options people compare them with include Stagehand, Browser Harness, CloakBrowser, Page Agent, LangGraph.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.