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I'm not a programmer. I ran cafes. Then I built an AI coworker that uses my PC without stealing my screen.

A Seoul-based former cafe and convenience-store operator with no programming background built ARCHE, a local AI coworker for Windows that runs apps in the background without taking over the screen, splits large jobs across parallel AI workers, and persists memory and task state across restarts. The developer reports that over three days the system handled 378 requests with 84% completing end-to-end and 227 jobs delegated to parallel workers, while context sent to the model dropped from 668,083 to 95,131 characters across 24 tool calls — roughly 86% less. The creator is seeking feedback from users of Claude Code, Codex and other computer-use agents, and is raising a small pre-seed round with no company, funding or team in place.

by read2 min views1 publishedOct 3, 2026

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? 2. 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).

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