I turned a Linux box into a fully-offline, agent-native OS with the whole local-AI stack wired together out of the box. Roast the architecture.
Disclosure up front: I'm the dev, this is my project, and there's a paid version — I'll mention it at the end so it's not a stealth ad. I'm really here for this community's brutal technical feedback, because you'll find the holes faster than anyone.
What it is: a Debian-based OS built around local AI as a first-class citizen instead of a browser tab. Everything runs on your own hardware, fully offline — no cloud, no API keys, no token meter.
Under the hood (no magic — it's open models orchestrated into an OS):
- LLMs via Ollama/llama.cpp (Qwen2.5 family + others), auto-tiered to your VRAM
- Image: SDXL / Z-Image-Turbo · Video: Wan 2.2 i2v · Voice: Chatterbox TTS + Whisper STT — all local
- An agent layer ("Omega") that can actually operate the machine: plan→act with a grounded verify step and a tamper-evident action log
- Ships with a curated set of Apache/MIT-licensed models baked into the image, so it generates on first boot with zero downloads and no internet
The point isn't a new frontier model — it's that the whole sovereign stack is integrated, offline, and yours, instead of you gluing 8 repos together.
Honest limits: it's beta, and the local models are smaller than frontier cloud (I don't claim Midjourney/GPT parity — the trade is sovereignty + zero per-use cost, not raw quality).
Genuinely want to know: what would you want in a "local-AI-first OS" that nothing does well yet — and where do you think this approach breaks? (Paid founding beta link in a comment to respect the sub; the feedback is why I'm posting.)