
CortexOS - Zero-Knowledge AI Journal
Your mind, encrypted. AI that never leaves your phone.
What it does
Every AI journal sends your thoughts to a server. CortexOS doesn't. A full LLM (Llama 3.2) runs entirely on your phone. Voice transcription, 20+ emotions, 15 distortions, AI reflections, emotional chapters, yearly review. All on-device. All encrypted. Offline or online. Your entries are locked behind a 6-word phrase and PIN only you know. We can't read your data. Nobody can. That's not a setting. That's the architecture. New category: Zero-Knowledge AI Journal. Solo-built. 14-day free trial.
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- MAModel-agnostic cognitive architecture for LLMsNov 2025 · github.com · ▲6
Hi HN, A couple weeks ago I shared an early version of a side project I’ve been tinkering with called Persistent Mind Model. I built it at home on an i7-10700K / 32GB RAM / RTX 3080 because I was curious whether an AI could keep a stable “mind” over time, that could "think" about it's own identity as an LLM, instead of resetting every session. After a lot more tinkering, I think the architecture is finally in a solid place. Basically, it saves everything the AI does, thoughts, decisions, updates as a chain of events in a local SQLite database. Because the “identity” is stored in…
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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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