Plow Latch
Run AI agents on your Mac with scoped access
What it does
Safely give your agent real control of your Mac, while keeping your data local on your machine. With Plow Latch, pretty much anything you can do with your Mac, you can do with your AI.
Latch keeps your passwords encrypted on your Mac and lets your AI sign in to approved sites. It never hands over your passwords.
Bring the accounts you choose. Latch keeps them encrypted on your Mac and lets your AI sign in to approved sites. It never hands over your passwords. Works with Claude, Codex, OpenClaw, Hermes, and other MCP-compatible agents. Claude wants to use REI and Calendar for “Plan the family camping trip.” Encrypted on your Mac. Your vault is encrypted on your Mac, and the key is protected by macOS Keychain. Plow keeps no cloud copy. Requests and results pass between your agent and your Mac over an encrypted relay. The vault itself never leaves. Filled outside the model. Latch enters an approved credential in the browser itself. The agent never sees it. The log never records it. Only…from plow.co
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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, August 2026
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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