Continuous agents that actually know where they're going. Write a spec → OmoiOS builds a DAG → parallel agents execute in sandboxes → system constantly checks state against your goal → wake up to shipped code. Like Ralph, but intelligent.

Hey Product Hunt!

I'm Kevin. I've been obsessed with continuous agents — the idea that an AI can just "loop until done" without constant prompting. Tools like Ralph showed the potential.

But I kept running into the same problem: the agent doesn't know where it's going.

A continuous loop is powerful, but without structure:

Agents redo work they already did
They miss dependencies between tasks
They don't know when they're actually done
They can't tell you how close they are to the goal

So I built OmoiOS — continuous agents with a brain.

Here's how it works:

Describe your idea — Even loosely. OmoiOS helps you turn it into a structured spec.
OmoiOS generates tickets & tasks — With dependencies, forming a DAG
Claude Code agents execute in parallel sandboxes — Multiple agents working simultaneously
System constantly checks state against spec — Are we closer? Is this task actually done?
Wake up to a PR — Everything traced back to your original intent

The key insight: AI should babysit itself. OmoiOS doesn't just track tasks — it watches agents, catches drift, checks progress against your spec, and course-corrects. You shouldn't have to do that. That's the job.

If you've tried AI coding tools and found yourself constantly checking in, this is the fix. OmoiOS babysits so you can actually walk away.

Try it free — connect your GitHub and see what happens overnight.

Kevin

The "AI babysitting itself" concept is brilliant - that's exactly the pain point with most continuous agents. I've wasted hours checking on Cursor and Bolt to see if they're stuck or redoing work. The DAG approach with parallel execution makes so much sense for complex features. Does the system handle merge conflicts automatically, or does it alert you when manual intervention is needed?