Browser Use
Open-source framework that lets AI agents control a real browser
Last reviewed 2026-06-19
Browser Use is an open-source Python framework (MIT license) that connects any LLM to a real browser so an AI agent can navigate pages, click, type, fill forms, log in, scroll, and extract structured data from a plain-English task. The library exposes page state to the model, which decides the next action in a perceive-act loop. It is one of the most-starred open-source AI-agent projects on GitHub. Alongside the free library, the company runs Browser Use Cloud, a hosted offering that adds scalable browser infrastructure, stealth/anti-detection fingerprinting, residential proxies, CAPTCHA solving, persistent memory, and purpose-built browser models. The framework is the substrate: it enables autonomous-agent behavior, but the actual autonomy of any deployment depends on the agent a developer builds on top of it.
What it can do
Navigate sites and act from a natural-language task
SupervisedRuns a perceive-act loop that clicks, types, fills forms, and scrolls a real browser based on a plain-English goal; typically run or watched by a developer.
sourceExtract structured data from pages
SupervisedReads page state and returns structured data for scraping and research workflows.
sourceRun multi-step web tasks unattended (Cloud)
AutonomousBrowser Use Cloud runs end-to-end browser tasks in a remote environment for defined jobs, removing local infra concerns.
sourceAuthenticate and operate behind stealth/proxy layers (Cloud)
SupervisedUses saved browser profiles plus stealth fingerprinting, residential proxies, and CAPTCHA handling to access sites at scale.
source
Strengths
- +Large, active open-source ecosystem under a permissive MIT license with a free self-hosted path
- +Truly model-agnostic: works with GPT, Claude, Gemini, or local models
- +Optional managed cloud removes the hard infra problems (stealth, proxies, CAPTCHA, scaling)
Limitations
- −Reliability on complex or novel sites is imperfect; production use needs supervision
- −The framework is plumbing: building a robust autonomous agent still requires real engineering and LLM-cost management
- −Cloud token pricing carries a markup over provider rates, so high-volume autonomous runs can get expensive
Overview
Browser Use is an open-source Python framework that makes websites accessible to AI agents. It connects any LLM to a real browser and runs a perceive-act loop so an agent can complete web tasks described in plain English. It is one of the most popular open-source AI-agent repositories on GitHub.
What it does
Given a task, the agent navigates pages, clicks, types, fills forms, logs in, and extracts structured data. The library is the substrate; the autonomy of a given build depends on the agent a developer assembles on top of it. In practice the default self-hosted setup is run and watched by a developer (supervised), while Browser Use Cloud can run defined tasks unattended.
Integrations & setup
Installs as a pip package; works with GPT, Claude, Gemini, and local models. The cloud adds stealth fingerprinting, residential proxies, CAPTCHA solving, persistent memory, and an MCP registry, and exposes a REST API.
Pricing
The library is free under MIT. Browser Use Cloud has a free tier and paid plans (a Dev plan reportedly starts around $29/mo) plus usage-based charges for sessions, proxies, and model tokens.
Best for / not for
Best for developers and AI engineering teams who want a model-agnostic, open-source way to give agents a browser. Less suited to non-technical users who need a no-code, ready-to-run automation product.
Alternatives
Skyvern is the closest open-source web-automation peer (vision-based, with a no-code builder); MultiOn and OpenAI's Operator are hosted browser-agent products.
What people are saying
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FAQ
Is Browser Use free?+
The core Python library is open source under the MIT license and free to self-host. Browser Use Cloud is a paid hosted service with a free tier and usage-based pricing for managed browser infrastructure.
Which models does Browser Use support?+
It is model-agnostic and works with OpenAI, Anthropic, Google, and local models via Ollama, plus the company's own browser-tuned models on the cloud.
Sources
- Browser Use (GitHub) · accessed 2026-06-19
- Browser Use (official site) · accessed 2026-06-19
- Browser Use pricing · accessed 2026-06-19
- Browser Use raises $17M (TechCrunch) · accessed 2026-06-19
Last reviewed 2026-06-19