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Stagehand 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.

Stagehand

Open source · MIT

TypeScript, Python and Go SDK for letting AI control a web browser to act on and extract data from sites.

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 Stagehand if you need…

  • Developers building browser agents that must work on sites they do not control
  • Teams extracting structured data from web pages that lack an API
  • Engineers who already know Playwright and want AI-assisted steps
  • Projects needing TypeScript, Python or Go bindings of the same workflow

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

StagehandBrowser Use Web UI
TypeLibraryApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars25.9k16.6k
Setup difficultyIntermediateIntermediate
How you get itInstall with a package managerClone and build from source
Main languageTypeScriptPython
Last code update6 days ago42 days ago

What each one is

Stagehand

Stagehand is an SDK that lets code drive a real web browser using plain-language instructions alongside Playwright-style methods. You can ask it to observe elements, act on a page (such as clicking a button), or extract data into a schema you define. Sessions such as login cookies can persist between runs.

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

Stagehand

  • Developers building browser agents that must work on sites they do not control
  • Teams extracting structured data from web pages that lack an API
  • Engineers who already know Playwright and want AI-assisted steps
  • Projects needing TypeScript, Python or Go bindings of the same workflow

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

Stagehand

  • Familiar Playwright-style API for developers already using it
  • Returns schema-validated data from extract() calls
  • Available in TypeScript, Python and Go with MIT license

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

Stagehand

  • People who only need fixed scripted browser tests with no AI, since the README centers on model-driven steps
  • Non-programmers, because the examples require writing code and an API key for a model provider
  • Users without Chrome installed for local runs, since the README says local runs need it

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

Stagehand

  • Relies on a third-party model provider and its API key, so usage has external cost and data flow
  • README is truncated, so full feature and configuration details could not be verified here
  • Model-driven actions can behave differently across sites and runs

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

Stagehand

Install TypeScript package

pnpm add @browserbasehq/stagehand 'zod@~4.4.3'

Install Python package

pip install stagehand
Step-by-step guide: how to use Stagehand

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 Stagehand and Browser Use Web UI?

Stagehand: TypeScript, Python and Go SDK for letting AI control a web browser to act on and extract data from sites. Browser Use Web UI: A Gradio web interface for running browser-automating AI agents with your choice of language model. Stagehand suits developers building browser agents that must work on sites they do not control, while Browser Use Web UI suits people who want to try browser-automation ai agents without writing code.

Are Stagehand and Browser Use Web UI free?

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

Is Stagehand or Browser Use Web UI more popular?

Stagehand has more GitHub stars (25.9k) 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 Stagehand and Browser Use Web UI?

Other options people compare them with include Browser Use, CloakBrowser, Page Agent, CrewAI, 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.