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LangChain added browser automation to its AI-powered Managed Deep Agents

AI agents in LangChain can now interact directly with web pages using a remote sandbox browser and dedicated tools.

LangChain added browser automation to its AI-powered Managed Deep Agents — image from LangChain
Image: LangChain

Summary

LangChain now gives Managed Deep Agents access to a remote browser running inside a LangSmith sandbox. Agents use four new tools to inspect web pages, click elements, run scripts, and capture screenshots. When a task requires manual login or human input, the agent hands control to a user and resumes work once returned.

What changed

  • Managed Deep Agents now runs a sandboxed browser using tools tuned for context-efficient web tasks.
  • Added thread and user-scoped browser sessions so credentials persist across interactions.
  • Introduced browser handoff so human users can handle logins before passing control back to the agent.
  • Added four browser tools: browser_snapshot, browser_run, browser_screenshot, and browser_handoff.

Availability

Available now

“Today, we're giving these agents a browser, so you can build your own agents that work on the web.”

Founder takeaway

If you build web workflows with Managed Deep Agents, enable the browser in your project root to handle tasks directly on the web.

Source

LangChainBrowser Use in Managed Deep Agents

Announced Checked

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