We optimized ChatBrowserUse() specifically for browser automation tasks. On avg it completes tasks 3-5x faster than other models with SOTA accuracy.

For other LLM providers, see our supported models documentation.

Yes! You can add custom tools to extend the agent's capabilities:

from browser_use.tools import Tool

@Tool()
def custom_tool(param: str) -> str:
    """Description of what this tool does."""
    return f"Result: {param}"

agent = Agent(
    task="Your task",
    llm=llm,
    browser=browser,
    use_custom_tools=[custom_tool],
)

See our Custom Tools documentation for more examples.

Yes! Browser-Use is open source and free to use. You only need to choose an LLM provider (like OpenAI, Google, ChatBrowserUse, or run local models with Ollama).

Check out our authentication examples:

• Using real browser profiles - Reuse your existing Chrome profile with saved logins
• If you want to use temporary accounts with inbox, choose AgentMail
• To sync your auth profile with the remote browser, run curl -fsSL https://browser-use.com/profile.sh | BROWSER_USE_API_KEY=XXXX sh (replace XXXX with your API key)

These examples show how to maintain sessions and handle authentication seamlessly.

For CAPTCHA handling, you need better browser fingerprinting and proxies. Use Browser Use Cloud which provides stealth browsers designed to avoid detection and CAPTCHA challenges.

Chrome can consume a lot of memory, and running many agents in parallel can be tricky to manage.

For production use cases, use our Browser Use Cloud API which handles:

• Scalable browser infrastructure
• Memory management
• Proxy rotation
• Stealth browser fingerprinting
• High-performance parallel execution