I wrote an open-source browser alternative for Computer Use for any LLM
Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…
In plain words
Browser-Use is an open-source tool that enables large language models supported by Langchain to automate tasks directly in web browsers through natural language commands. It simplifies web interaction by automatically extracting clickable elements, buttons, input fields, and their locations, eliminating the need for manual DevTools inspection. Users can build custom web automation and scraping agents without repeating the foundational work of parsing HTML and identifying interactive elements.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general SaaS tool yes, but I think a lot of people are going to try to make their own web automation agents from scratch, so the idea is to provide groundwork/library for the hard part so that not everyone has to repeat these steps: - parse html in a LLM friendly way (clickable items + screenshots) - provide a nice function calls for everything inside the browser - create reusable agent classes What this is NOT? An all knowing AI agent that can solve all your problems. The vision: create repeatable tasks on the web just by prompting your agent and not care about the hows. To better showcase the power of text extraction we made a few demos such as: - Applying for multiple software engineering jobs in San Francisco - Opening new tabs to search for images of Albert Einstein, Oprah Winfrey, and Steve Jobs - Finding the cheapest one-way flight from London to Kyrgyzstan for December 25th I’d be interested in feedback on how this tool fits into your automation workflows. Try it out and let me know how it performs on your end. We are Gregor & Magnus and we built this in 5 days.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, November 2024
the whole month →
- IB
I wasn't quite sure if this qualified as "Show HN" given you can't really download it and try it out. However, dang said[0]: > If it's hardware or something that's not so easy to try out over the internet, find a different way to show how it actually works—a video, for example, or a detailed post with photos. Hopefully I did that? Additionally, I've put code and a detailed guide for the netboot computer management setup on GitHub: https://github.com/kentonv/lanparty Anyway, if this shouldn't have been Show HN, I apologize! [0]…
Dev tools · 2024 · lanparty.house
