OWL
Your AI that never sleeps. Discovers what you're missing.
What it does
OWL is an open-source AI daemon that watches your Gmail, Calendar, GitHub, Slack, Shopify, and files in the background. It builds a knowledge graph of everyone and everything you interact with, then discovers patterns you'd never notice. "Your biggest client filed 3 support tickets the same week their renewal arrived." Runs 100% locally with Ollama — no API keys, no cloud, no cost. Your data never leaves your machine. Try it: npx owl-ai demo MIT licensed. Node.js + SQLite.
Does the same job
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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, March 2026
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Switch from ChatGPT to Claude with import memory feature
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