WebBrain
The sidebar agent for the rest of us
What it does
Your browser, your models, your data. WebBrain is a free, open-source AI browser agent for Chromium browsers and Firefox. Run it locally with llama.cpp and most queries cost nothing — your data never leaves your device. It reads pages, extracts data, and automates tasks right from the sidebar. Prefer the cloud? Bring your own API key for OpenAI, Claude, OpenRouter, or 100+ OpenAI-compatible providers. Multilingual UI, token-conscious screenshots. MIT licensed.
WebBrain is a free, open-source alternative to Claude's browser plugin. AI browser agent for Chrome, Firefox, and Edge — read pages, extract data, automate tasks. Works with llama.cpp, OpenAI, Claude, OpenRouter. Multilingual UI, token-conscious screenshots. GPL-3.0-or-later licensed.
WebBrain is a free, open-source browser extension that brings AI agent capabilities to your browser. Read pages, extract data, and automate web tasks — powered by your choice of LLM. The self-hostable alternative to proprietary browser AI plugins. The browser is where real work happens — and an adversarial surface. WebBrain starts in read-only Ask Mode, asks before it acts, defends against hidden prompt injections, and handles sensitive fields with stricter rules. See how WebBrain reads pages, extracts data, and automates browser tasks. A full-featured AI agent that lives in your browser sidebar and understands any web page. Reads and comprehends any web page — articles, docs, dashboards,…from webbrain.one
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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.
AI · 16d ago · simedw.com
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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…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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 · 16d ago · simedw.com