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Browser Use vs ego lite

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.

ego lite

Open source · MIT

A browser built for AI agents to run web tasks in their own workspaces beside your own browsing.

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 ego lite if you need…

  • Developers who use Claude Code, Codex, or similar agent CLIs and want them to act in a logged-in browser
  • People who want agents to automate web tasks without taking over their own browser window
  • Users on macOS or Windows who want a simple setup without managing a separate browser process

Side-by-side

Browser Useego lite
TypeLibraryApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars120k21.3k
Setup difficultyIntermediateBeginner
How you get itInstall with a package managerDownload the app
Main languagePythonJavaScript
Last code update4 days ago4 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.

ego lite

ego lite is a desktop browser where you and AI agents work in parallel. Agents run their browser tasks in isolated workspaces called Spaces inside the same browser, while you keep browsing in your own tabs. It is meant to be used with agent tools such as Claude Code or Codex through a skill called ego-browser.

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

ego lite

  • Developers who use Claude Code, Codex, or similar agent CLIs and want them to act in a logged-in browser
  • People who want agents to automate web tasks without taking over their own browser window
  • Users on macOS or Windows who want a simple setup without managing a separate browser process

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

ego lite

  • Agents can use your existing logins and tabs without taking control of your browser window
  • Each agent gets its own isolated Space, so parallel tasks do not collide
  • Works with any agent CLI that can call the ego-browser skill, per the README

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

ego lite

  • Linux users, since the README says Linux is only on the roadmap
  • People who need a fully headless, cloud-hosted browser, since this runs on your own machine
  • Anyone who wants independently verified performance claims, since the README's speed and cost figures are the project's own and are not backed by linked benchmarks

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

ego lite

  • Speed, token, and success-rate claims come from the project itself and are not independently verified in the README
  • Data import from Chrome and some features such as experience accumulation are either optional or marked coming soon
  • Currently limited to macOS and Windows

Getting started

Browser Use

Install the library with uv

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

ego lite

Add the ego-browser skill (optional, alongside the app download)

npx skills add citrolabs/ego-lite
Step-by-step guide: how to use ego lite

Frequently asked questions

What is the difference between Browser Use and ego lite?

Browser Use: Open-source Python library that lets an AI agent control a web browser to complete tasks. ego lite: A browser built for AI agents to run web tasks in their own workspaces beside your own browsing. Browser Use suits python developers who want to prototype an ai agent that operates websites, while ego lite suits developers who use claude code, codex, or similar agent clis and want them to act in a logged-in browser.

Are Browser Use and ego lite free?

Browser Use: Free and open source. ego lite: Free and open source.

Which is easier to set up, Browser Use or ego lite?

ego lite is easier to get started with (rated beginner); Browser Use is rated intermediate and usually needs more setup.

Is Browser Use or ego lite more popular?

Browser Use has more GitHub stars (120k) than ego lite (21.3k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Browser Use and ego lite?

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.