BrowserGPT vs Steel
Side-by-side comparison of two AI agent tools
Short answer
- BrowserGPT has had no commit in 8 months; Steel is actively maintained (10 commits in the last 90 days).
- Steel is growing faster: +156 GitHub stars in the last 30 days vs +-0 for BrowserGPT.
- Pick BrowserGPT for: command your browser with GPT. Pick Steel for: open Source Browser API for AI Agents & Apps.
From GitHub data refreshed daily.
BrowserGPTopen-source
Command your browser with GPT
Steelopen-source
π₯ Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser sandbox that lets you automate the web without worrying about infrastructure.
Metrics
| BrowserGPT | Steel | |
|---|---|---|
| Stars | 421 | 7.7k |
| Star velocity /mo | -0.15789473684210523 | 155.68421052631578 |
| Commits (90d) | 0 | 10 |
| Releases (6m) | 0 | 2 |
| Overall score | 0.12631667969636848 | 0.5500925879249736 |
Pros
- +Natural language interface eliminates need to learn Playwright syntax or write automation code
- +GPT-4 integration provides intelligent context understanding to recognize page elements dynamically
- +AutoGPT mode enables complex multi-step browser workflows from simple conversational commands
- +Multi-client support allows integration with Puppeteer, Playwright, or Selenium for maximum flexibility
- +Comprehensive session management automatically handles browser state, cookies, and storage persistence
- +Built-in anti-detection capabilities with stealth plugins and fingerprint management help avoid bot blocking
Cons
- -Requires OpenAI API key and incurs GPT-4 usage costs for each browser command
- -Generated code snippets may fail to execute or model might not comprehend specific inputs
- -Large websites may exceed token limits for smaller models, requiring expensive high-context models
- -Public beta status indicates the platform is still evolving and may have stability issues
- -Browser automation inherently resource-intensive and can be complex to debug at scale
- -Requires understanding of browser automation concepts and may have learning curve for new users
Use Cases
- β’Web scraping and data extraction tasks using conversational commands instead of coding
- β’Automated form filling and website testing without writing traditional test scripts
- β’Quick browser navigation and content interaction for productivity workflows and research
- β’AI agents that need to interact with dynamic websites, fill forms, or navigate complex user interfaces
- β’Web scraping projects requiring session persistence, proxy rotation, and anti-detection measures
- β’Automated testing scenarios where browser state management and debugging capabilities are essential
FAQ
- Which is more popular, BrowserGPT or Steel?
- Steel has more GitHub stars (7,729 vs 421).
- Which is more actively developed, BrowserGPT or Steel?
- Steel had more commits in the last 90 days (10 vs 0).
- Should I use BrowserGPT or Steel?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.