Browser Use: review, pricing, security and alternatives

What Browser Use does

Browser Use belongs to the browser agents family: agents that open pages, click, fill in forms and extract information in place of a human. On our grid it ranks #1 of the 21 projects of this family listed in the directory.

Unlike a ready-made agent, a framework provides the parts to build one: tool calling, step sequencing, memory, coordination of several agents. It is aimed at teams that want a custom agent.

You use it from: developer SDK and API. Usable models: Claude (Anthropic), GPT (OpenAI), Gemini (Google), local models (Ollama, llama.cpp, vLLM…), and any OpenAI-compatible model. It can run on your own machine or server.

Who is Browser Use for?

It helps people who spend time on websites without an API: it clicks, fills in and reads pages for you. Typical tasks people give it:

• fill in repetitive forms
• collect prices or information across several sites
• test a website's user flow
• fetch documents from a customer portal

It is a good candidate if your data must stay on your machines and you want the option of a local model, with no API fees.

Access and human control

A framework has no access of its own: the tools you plug in define what the agent can do. Start with read-only tools.

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Browser Use pricing

The code is free, under the MIT licence.

Getting started with Browser Use

1. Install it: the project ships as a Python package (install with pip or uv). The exact command is in the repository README.
2. Pick the model: an API key from a provider, or a local model if your machine has enough graphics memory (the VRAM calculator tells you).
3. Start with the minimal example from the docs, then add one tool at a time and check what the agent does with it.
4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

Every page visited may hide instructions: do not leave a browser agent logged into sensitive accounts without action approval.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on October 31, 2024, the browser-use/browser-use repository has 119,041 stars, 13,222 forks and 183 open issues, with 10,432 commits in total. It received changes this month.

Over the last 52 weeks: 3,247 commits, an average of 62.4 per week.

140 releases in total; 30 in the last twelve months. Latest release: 0.13.13, on October 15, 2026.

Browser Use vs other browser agents

GitHub stars of the best-rated open-source projects in the browser agents family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

Browser Use and other browser agents at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 92/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 37/40: 119,041 stars on a log scale (40 points from about 200,000).
• Activity 30/30: last commit less than a month ago, 17 releases in six months, 3,247 commits in a year.
• Framework 25/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.