BrowserAct vs Agent Browser: A Hands-On Stealth Execution Comparison A developer compared BrowserAct and Agent Browser using the SannySoft browser fingerprint test and the Cloudflare Challenge benchmark to evaluate their stealth execution and anti-bot capabilities. BrowserAct demonstrated superior stealth by passing both tests, while Agent Browser failed the Cloudflare Challenge. The comparison highlights the importance of stealth execution in modern browser automation for AI agents. A hands-on comparison where I tested BrowserAct and Agent Browser using the SannySoft browser fingerprint test and the Cloudflare Challenge benchmark to evaluate their stealth execution and anti-bot capabilities under identical conditions. You switched to a browser automation tool built specifically for AI agents. That should have solved the hardest part... right? After all, these tools are designed for production workflows, autonomous agents, and modern browser automation. So you launch your agent against a website protected by Cloudflare, expecting everything to work. Instead, you find yourself in front of another verification page. Or the browser keeps asking you to verify you're human. Or the automation simply never reaches the content you need. So I was asking myself: If both BrowserAct and Agent Browser are built for AI agents, how different are they when it comes to stealth execution and anti-detection? Instead of comparing documentation or feature lists, I decided to run both tools through the same hands-on tests under the same conditions. For this comparison, I focused on one capability: stealth execution . I tested both tools against the two most widely used benchmarks in the automation community. These two tests measure different aspects of browser automation, and together they provide a clearer overview than a simple feature comparison. I'll walk through exactly what I observed during both tests, where each tool performed well, where I noticed differences, and which one I would choose depending on the type of automation I'm building. Before getting into the results, it's important to understand why stealth execution has become one of the biggest challenges in modern browser automation. A few years ago, getting browser automation working mostly meant writing reliable scripts. If your selectors were correct and your timing was good, there was a good chance your automation would work consistently. Today, that's only half of the challenge. Modern websites don't just respond to browser actions. They also evaluate the browser itself almost immediately after the page starts loading. That creates two different layers of anti-bot protection. The first layer is browser fingerprint detection . This focuses on identifying whether the browser behaves like a normal user or an automated environment. Websites inspect signals such as: navigator.webdriver Many of these checks happen before your automation even clicks its first button. The second layer is real-world anti-bot protection . Services such as Cloudflare combine browser fingerprinting with additional signals like browser behavior, challenge-response verification, network reputation, and other detection techniques before deciding to trust a session. That's an important distinction because passing a fingerprint test doesn't automatically mean a browser will get through Cloudflare or similar protection systems. This is exactly why I used two different benchmarks for this article. On paper, both BrowserAct and Agent Browser offer stealth capabilities. The important thing is how they approach it. And that difference isn't obvious from their documentation. It becomes easier to understand the difference when you run the same tests against both tools. Before running the benchmarks, I wanted to understand how each tool approaches browser execution in environments that actively inspect automation. Although both tools target AI agent workflows, they expose their browser environments differently. BrowserAct https://www.browseract.com/?co-from=Hadil provides a dedicated stealth browser that is ready to use once you've created a stealth browser profile. According to BrowserAct's documentation, its stealth browser is designed to reduce common automation signals by providing characteristics such as: To launch the browser, I simply opened my existing stealth browser profile: browser-act --session stealth-test browser open