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Chain Agent Tasks

Keep your browser session alive and chain multiple tasks together. Perfect for conversational workflows or multi-step processes. 
from dotenv import load_dotenv

from browser_use import Agent, Browser


load_dotenv()

import asyncio


async def main():
	browser = Browser(keep_alive=True)

	await browser.start()

	agent = Agent(task='search for browser-use.', browser_session=browser)
	await agent.run(max_steps=2)
	agent.add_new_task('return the title of first result')
	await agent.run()

	await browser.kill()

asyncio.run(main())

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How It Works

  1. Persistent Browser: BrowserProfile(keep_alive=True) prevents browser from closing between tasks
  2. Task Chaining: Use agent.add_new_task() to add follow-up tasks
  3. Context Preservation: Agent maintains memory and browser state across tasks
  4. Interactive Flow: Perfect for conversational interfaces
  5. Break down long flows: If you have very long flows, you can keep the browser alive and send new agents to it.
The browser session remains active throughout the entire chain, preserving all cookies, local storage, and page state.