Cerebellum – Open-Source Browser Control with Claude 3.5 Computer Use
Hi HN! I was mesmerized by the Claude Computer Use reveal last week and was specifically impressed by how well it navigated websites. This motivated me to create Cerebellum, a library that lets an LLM take control of a browser. Here is a demo of Cerebellum in action, performing the goal “Find a USB C to C cable that is 10 feet long and add it to cart” on amazon.com: https://youtu.be/xaZbuaWtVkA?si=Tq9lE6BXv9wjZ-qC Currently, it uses Claude 3.5 Sonnet’s newly released computer use ability, but the ultimate goal is to crowdsource a high quality set of browser sessions to train…
In plain words
Cerebellum is an open-source library that enables large language models to control and navigate web browsers autonomously. Built with Claude 3.5 Sonnet's computer use capabilities, it can perform tasks like searching for products and adding items to carts. The tool is available as an MIT-licensed repository and npm package. The creator aims to eventually train an open-source local model using crowdsourced browser session data, moving beyond reliance on Claude's API.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN! I was mesmerized by the Claude Computer Use reveal last week and was specifically impressed by how well it navigated websites. This motivated me to create Cerebellum, a library that lets an LLM take control of a browser. Here is a demo of Cerebellum in action, performing the goal “Find a USB C to C cable that is 10 feet long and add it to cart” on amazon.com: https://youtu.be/xaZbuaWtVkA?si=Tq9lE6BXv9wjZ-qC Currently, it uses Claude 3.5 Sonnet’s newly released computer use ability, but the ultimate goal is to crowdsource a high quality set of browser sessions to train an open source local model. Checkout the MIT licensed repo on github (https://github.com/theredsix/cerebellum) or install the library from npm (https://www.npmjs.com/package/cerebellum-ai) Looking for feedback from the HN community, especially on: What browser tasks would you use an LLM to complete? Thanks again for taking a look!
Does the same job
all alternatives →- LBLightweight browser automation powered by Claude 3.5 Sonnet2024 · github.com · ▲10
Hey HN! I'm excited to show off Cerebellum, a new open-source tool designed to automate browser tasks using large language models (LLMs). Cerebellum is an LLM-based AI agent that interacts with web sites using mouse and keyboard interactions, much like you would. So it works on web sites whether or not they have an API. The only requirement is that you use a Selenium-supported browser like Chrome, Firefox, or Safari. It’ll even work on Electron apps with a bit of setup! Furthermore, Cerebellum is open-source! We’d love both your feedback and contributions. The GitHub repo is here:…

- IUI used Claude Code to discover connections between 100 booksJan 2026 · trails.pieterma.es · ▲524
I think LLMs are overused to summarise and underused to help us read deeper. I built a system for Claude Code to browse 100 non-fiction books and find interesting connections between them. I started out with a pipeline in stages, chaining together LLM calls to build up a context of the library. I was mainly getting back the insight that I was baking into the prompts, and the results weren't particularly surprising. On a whim, I gave CC access to my debug CLI tools and found that it wiped the floor with that approach. It gave actually interesting results and required very little orchestration…


- IWI wrote an open-source browser alternative for Computer Use for any LLM2024 · github.com · ▲180
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…
More ai this month
the category →
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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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…
AI · 27d ago · cactuscompute.com


Launched alongside, October 2024
the whole month →


Softr for Notion▲925Turn Notion databases into portals & apps with no code
Dev tools · 2024 · softr.io

One inbox for all your work discussions
Work · 2024 · generalcollaboration.com