A year ago I was running small shops in Seoul - a cafe, a convenience store, food. I can't really code. But I kept watching AI "computer use" demos and thinking: this is amazing, and also I would never use it every day.
The loop is always the same: take a screenshot, think, click, take another screenshot. Each step takes seconds. While it works, you can't touch your own computer. When the session ends, it forgets everything. And it does one thing at a time.
So I spent the last months building my own, mostly by talking to AI models and following my gut. I call it ARCHE. It's a local AI coworker that lives on my Windows PC. I use it every day, for real work, not demos.
What it does differently
- Works in the background, no screenshots. It operates apps behind what I'm doing. I keep using my PC; it keeps working.
- Knows what's happening on my PC right now - which window is open, what just changed - without me explaining.
- Splits big jobs across several AI workers at once, and they report back.
- Remembers. Decisions and conversations from weeks ago, in Korean or English, with the original record.
- Survives restarts. If the app closes mid-task, it picks up where it stopped instead of starting over or repeating things.
Some honest numbers (from my own usage logs)
- Over 3 days: 378 requests from me, 84% finished end-to-end.
- Same 3 days: 227 jobs handed to parallel AI workers.
- Across 24 real tool calls, what it sends to the model went from 668,083 to 95,131 characters - about 86% less, so it's faster and cheaper per step.
- "Find this YouTube video and play it": the search part takes about 1 second.
These are from one person's machine, not a lab benchmark. I'd rather show small real numbers than big made-up ones.
Why I'm posting
Two reasons.
- Feedback. If you've used Claude Code, Codex or other computer-use agents on your own machine - what made you stop? What would make you keep one running all day?
- I'm looking for people who believe in this. I have no company, no funding, no team. If this sounds like something that should exist, I'm raising a small pre-seed round, and I'd also be grateful for a coffee-sized tip. Either way, an honest comment helps a lot.
More details and a one-page summary: https://telegra.ph/ARCHE---local-AI-coworker-10-02
Disclosure: my English is not great, so this post was drafted and posted by ARCHE itself on my behalf, from my own usage logs. The story and the numbers are mine - and yes, that is also a small demo of what it does.
Thanks for reading. I'm happy to answer anything in the comments (slowly - please be patient with me).
- Junyoung
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