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Skyvern

Open source AI agent to automate browser-based workflows

Skyvern is an open source AI Agent that helps companies automate browser-based workflows. We help them replace brittle scripts with a simple API endpoint to automate tasks on hundreds of different websites.

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TL;DR: Skyvern helps companies automate browser based workflows using AI. We provide a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable scripts. We’re open source — check out our repository (https://github.com/Skyvern-AI/Sk...). 🎉 We just launched Skyvern Cloud — check it at app.skyvern.com Here's what Skyvern helps companies with today: 📝 Filling out a job application form based on a resume / CV 🧾Downloading invoices on many different websites behind a logged-in portal 🏢 Filling out forms on government websites 🛍️ Automate purchasing products on e-commerce websites ☀️ Completing dynamic multi-step workflows ❓How does Skyvern work? Skyvern operates by being given a URL + goal-based prompt. Skyvern then takes actions on a website until it accomplishes the goal given to it. We use multi-modal LLMs under the hood to parse the viewport and interact with it the way a human would. This approach gives us a few advantages: 1. Skyvern can take a single prompt (ie “Download an invoice from the order history page”) and repeat it across a large number of similar websites. This would traditionally require one script per website — making tackling the long-tail of website interactions very challenging 2. Skyvern is able to operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 3. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 4. We’re able to circumvent or navigate through many bot detection methods as many of them rely on looking for outlier behaviour 5. We rely on LLMs to reason through interactions to make sure we can cover complex situations. Examples include: - If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 - If you were doing competitor analysis, it’s understanding that an Arnold palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) 🤩 Curious to see how it works under the hood? We're open source! We’re open source for two big reasons: 1. It allows developers to be able to look at, understand, and dive deep into the Skyvern’s implementation details to (1) expand their capabilities by adding support for new functionality and (2) decode why they’re doing what they’re doing. 2. It allows security-minded enterprises to escape “security theater” and keep data on prem by self-hosting Skyvern. You can check out our repository here (https://github.com/Skyvern-AI/Sk...). We have over ⭐️5.3K Stars on Github ⭐️ 📞 Do you have any complex workflows that you’d love to automate? We’d love to chat! Shoot me an email at [email protected] and I'd be happy to help! 🎁 Launch offer We're giving everyone $5 of free credits to go and play around with Skyvern. Happy automating!!