ego lite 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.
Open source · MIT
A browser built for AI agents to run web tasks in their own workspaces beside your own browsing.
Open source · MIT
A Gradio web interface for running browser-automating AI agents with your choice of language model.
The short answer
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
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
| ego lite | Browser Use Web UI | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 21.3k | 16.6k |
| Setup difficulty | Beginner | Intermediate |
| How you get it | Download the app | Clone and build from source |
| Main language | JavaScript | Python |
| Last code update | 4 days ago | 42 days ago |
What each one is
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.
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
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
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
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
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
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
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
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
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
ego lite
Add the ego-browser skill (optional, alongside the app download)
npx skills add citrolabs/ego-liteBrowser Use Web UI
Clone the repository
git clone https://github.com/browser-use/web-ui.gitCreate the Python environment
uv venv --python 3.11Frequently asked questions
What is the difference between ego lite and Browser Use Web UI?
ego lite: A browser built for AI agents to run web tasks in their own workspaces beside your own browsing. Browser Use Web UI: A Gradio web interface for running browser-automating AI agents with your choice of language model. ego lite suits developers who use claude code, codex, or similar agent clis and want them to act in a logged-in browser, while Browser Use Web UI suits people who want to try browser-automation ai agents without writing code.
Are ego lite and Browser Use Web UI free?
ego lite: Free and open source. Browser Use Web UI: Free and open source.
Which is easier to set up, ego lite or Browser Use Web UI?
ego lite is easier to get started with (rated beginner); Browser Use Web UI is rated intermediate and usually needs more setup.
Is ego lite or Browser Use Web UI more popular?
ego lite has more GitHub stars (21.3k) 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 ego lite and Browser Use Web UI?
Other options people compare them with include Browser Use, camofox-browser, CC Switch, CowAgent, Orca.
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.