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Browser Use vs Page Agent

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.

Page Agent

Open source · MIT

A JavaScript library that adds a natural-language AI agent to any web page you load it on.

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 Page Agent if you need…

  • Developers adding an AI copilot to their own web app
  • Teams wanting to automate repetitive form filling in internal ERP, CRM, or admin tools
  • Developers who want the agent to run client-side without a headless browser or backend
  • Projects that need to connect their own LLM, including locally deployed models

Side-by-side

Browser UsePage Agent
TypeLibraryLibrary
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars120k29.6k
Setup difficultyIntermediateIntermediate
How you get itInstall with a package managerInstall with a package manager
Main languagePythonTypeScript
Last code update4 days ago6 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.

Page Agent

PageAgent is a JavaScript library that runs inside a web page and lets an AI agent operate that page's interface from a plain-language instruction, such as clicking a login button. It works by reading the page's text-based DOM rather than screenshots, and you connect it to your own language model or a free demo model. It is aimed at developers who want to add an in-page assistant to their own web application.

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

Page Agent

  • Developers adding an AI copilot to their own web app
  • Teams wanting to automate repetitive form filling in internal ERP, CRM, or admin tools
  • Developers who want the agent to run client-side without a headless browser or backend
  • Projects that need to connect their own LLM, including locally deployed models

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

Page Agent

  • Runs entirely in the page as JavaScript, with no browser extension or Python needed for basic use
  • Works with bring-your-own LLMs, including locally deployed models, per the README
  • MIT licensed and actively maintained, with a published npm package

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

Page Agent

  • People who want to automate websites they do not control, since the README says it is designed for client-side web enhancement, not server-side automation
  • Teams that need multi-modal or screenshot-based understanding, since the README says it uses text-based DOM and no screenshots
  • Anyone needing a production-grade LLM without setup, since the demo model is for technical evaluation only

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

Page Agent

  • The README says the demo CDN is for technical evaluation only and uses a free testing API with its own terms
  • The MCP server is marked Beta, and multi-page support depends on the optional Chrome extension
  • The README does not describe security or privacy implications of giving an agent control over page content in detail

Getting started

Browser Use

Install the library with uv

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

Page Agent

Install from npm

npm install page-agent
Step-by-step guide: how to use Page Agent

Frequently asked questions

What is the difference between Browser Use and Page Agent?

Browser Use: Open-source Python library that lets an AI agent control a web browser to complete tasks. Page Agent: A JavaScript library that adds a natural-language AI agent to any web page you load it on. Browser Use suits python developers who want to prototype an ai agent that operates websites, while Page Agent suits developers adding an ai copilot to their own web app.

Are Browser Use and Page Agent free?

Browser Use: Free and open source. Page Agent: Free and open source.

Is Browser Use or Page Agent more popular?

Browser Use has more GitHub stars (120k) than Page Agent (29.6k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Browser Use and Page Agent?

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

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.