> ## Documentation Index
> Fetch the complete documentation index at: https://browseruse-0aece648-reagan-eng-5397-make-docs-better-for-ag.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> The hosted agent takes a task in plain language and drives a stealth browser until it's done.

The agent is a hosted loop: it reads the page, decides an action, executes it, and repeats until the task is complete. You send a task, you get a result.

```python theme={null}
from browser_use_sdk import BrowserUse

client = BrowserUse()
result = client.run("List the top 5 posts on Hacker News with their points")
print(result.output)
```

Each run gets its own [stealth cloud browser](/cloud/browser/stealth) with proxies and CAPTCHA handling already on. No browser management, no selectors, no waiting logic.

## When to use the agent

The agent fits tasks where you care about the outcome, not the exact clicks: data extraction from sites that change layout, workflows across several pages, form submission, or anything you'd rather describe than script. If you need pixel-exact control or deterministic repetition, drive a [browser session](/cloud/browser/overview) directly instead, or record an agent run once and replay it with [cache scripts](/cloud/agent/cache-script).

## What the agent can do

* [Structured output](/cloud/agent/structured-output) — get results as typed JSON matching your schema
* [Follow-up tasks](/cloud/agent/follow-up-tasks) — continue in the same browser with context intact
* [Streaming](/cloud/agent/streaming) — watch steps as they happen
* [Workspaces](/cloud/agent/workspaces) — files the agent reads and writes during a run
* [Human-in-the-loop](/cloud/agent/human-in-the-loop) — take over the browser mid-task, then hand back
* [Models](/cloud/agent/models) — pick the LLM that drives the loop
* [Cache scripts](/cloud/agent/cache-script) — record a run, replay it without LLM calls

## Next

Start with the [agent quickstart](/cloud/agent/quickstart).