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Browser Use

Emerging

Browser Use is an open-source Python library that enables AI agents to control web browsers, making it easy for LLMs to interact with any website through a clean, model-agnostic API.

42
AI Score
Grade C
AI Visibility Score (Beta)
Developer ToolsWebsiteUpdated October 2026

Company Overview

About Browser Use

Browser Use is an open-source project that provides a Python library allowing AI agents and large language models to control web browsers as a tool. The library sits between LLM APIs and browser automation frameworks like Playwright, providing a clean, model-agnostic interface that makes it straightforward for AI agents to navigate websites, fill forms, extract information, and complete multi-step web tasks without requiring developers to write custom browser control code.

Business Model & Competitive Advantage

The project gained rapid adoption in the AI agent developer community because it solves a fundamental challenge in building practical AI agents: the web is the most comprehensive source of real-world information and services, but giving AI agents reliable web access requires careful handling of dynamic content, authentication flows, modal dialogs, and page state management. Browser Use's library handles these complexities so that developers can focus on their agent's task logic rather than browser automation mechanics.

Competitive Landscape 2025–2026

Browser Use represents the open-source infrastructure layer of the AI agent ecosystem—similar to how libraries like LangChain and LlamaIndex emerged as standard building blocks for LLM applications. The project is maintained with commercial support and enterprise licensing, allowing it to sustain development while keeping the core library freely available to the developer community.

Curated content • Fact-checked and verified

Recent Activity

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blog_post
Best Browser Infrastructure for AI Agents (2026)

Compare seven browser infrastructure providers, including Browser Use, Kernel, and Browserbase. Explore pricing, stealth, speed, and session limits.

release
benchmark v2.1.1

BU Bench V2.1.1 includes all merged updates since v2.1: the default BrowserCode runner, Cloud and local browsers, Luna xhigh, 100-task concurrency, CAPTCHA-aligned rubrics, the dataset cleanup, and the validated Reuters playback redesign. Download **Source code** for the complete runnable repository, or follow the [setup instructions](https://github.com/browser-use/benchmark/blob/v2.1.1/README.md#running-bu-bench-v21-default): ```bash git clone --branch v2.1.1 --single-branch https://github.com/browser-use/benchmark.git cd benchmark ``` After installing the documented dependencies and setting your own API keys, run: ```bash uv run python run_eval.py ``` The default is all 200 tasks, BrowserCode 0.1.20, OpenAI GPT-6 Luna xhigh, Browser Use Cloud, the GPT-5.6 Luna xhigh findings judge, 3,600 seconds per task and up to 100 concurrent tasks. Local Chrome and optional Laminar reporting remain supported. GitHub Actions runs the same entry point. ### Dataset and scoring - Includes the CAPTCHA

release
benchmark v2.1

BU Bench V2.1 freezes the current 200-task dataset with the merged task/rubric corrections. Use this tag for reproducible comparisons; the compatible dataset filename remains `BU_Bench_V2.enc`. ### Dataset changes - Nine tasks have corrections relative to the original release: 014, 028, 029, 048, 053, 088, 113, 163 and 187. These cover search completeness, source-backed aliases, supporting evidence, task wording, changing source counts and blocked property lookups. - AliExpress 171 and Reuters 185 restore their original rules after the earlier blocked-access edits. Reporting a block does not itself complete an acquisition requirement; Reuters retains its original evidenced-absence outcome. - All 200 task IDs, item IDs, weights, canaries and 55-task subset membership are unchanged. - Instructions changed for 014, 028, 029, 088 and 113. Older executions are not executions of those revised instructions. ### Judge and runner The public runner defaults to findings judging and a 60-minute ta

blog_post
What is Chrome DevTools Protocol (CDP)?

Learn how Chrome DevTools Protocol (CDP) works, when to use it, and how to control Chrome with a step-by-step WebSocket and Puppeteer example.

blog_post
Browser Use vs Browserbase: Pricing, Stealth & Performance

Unsure which browser infrastructure to pick? Learn about Browser Use and Browserbase, their main use cases and how they compare in 2026.

blog_post
How Vesta Uses Browser Use to Collect Mortgage Compliance Evidence From Websites Without APIs

Vesta's AI agents use Browser Use to search OFAC, SAM.gov and HUD lists, pull county tax bills and save each page as a PDF on the loan, under zero data retention.

blog_post
How Composio's Browser Tool Uses Browser Use to Automate Websites Without APIs

Composio Browser Tool runs every task on a Browser Use agent in a managed cloud browser, so agents connected through Composio can log in, fill forms and download files on websites with no API.

blog_post
The Bitter Lesson of Browser Agents

As models get better, the browser harness has to change. A lot.

blog_post
Playwright vs Selenium vs Puppeteer: Which To Use?

In this article, we'll look at the most popular browser automation tools. We'll compare their use cases, performance, browser support, and language support.

8-K
8-K — 8-K

Material Event filed 2026-09-10

blog_post
What is a Headless Browser?

Learn what a headless browser is, how it compares to a headful one, its use cases, and the basics of browser automation.

release
browser-use 0.13.10

## Browser Use 0.13.10 - Upgrade Browser Harness to 0.1.13. - Exact-pin all declared runtime, optional, development, and build dependencies. - Upgrade and migrate to MCP Python SDK 2.1.1. - Add pydantic-settings 2.15.0 as an explicit runtime dependency. - Pin Pydantic 2.13.5 and Hatchling 1.32.0. - Upgrade pypdf to 6.16.2, resolving the three current pypdf Dependabot advisories. - Report unknown MCP tool calls as application errors instead of successful results. Validation includes the full GitHub test matrix, model adapters, MCP stdio handshakes, cross-platform wheel installation, focused PDF tests, CodeQL, GitGuardian, and an installed-runtime vulnerability audit.

Key Differentiators

Emerging Innovator

Browser Use is an emerging player bringing innovative solutions to the Developer Tools market.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

42
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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