# What is dmx?

> dmx is an open source AI-native engineering harness.

- **Website:** https://dmx.deepmodel.ai
- **Pricing:** open source
- **Categories:** Developer Tools, Productivity
- **Tags:** developer-tools, productivity, design
- **Platforms:** Web
- **Last verified:** 2026-09-10
- **Canonical page:** https://linkrena.com/tools/what-is-dmx

## About

If you've used AI to write code, you've noticed the problem. The model is fast and often impressive, but the output is inconsistent. Quality depends on how you prompted, whether you remembered to run tests, whether the spec was clear before the first line of code was written. There's no structure. There's just you and the model and whatever happened to work that day.

The model does not merge. It does not advance the workflow. It does not decide when the work is done. You own every gate.

Loops. Each phase is a named, versioned loop: an ordered sequence of skills that run, trigger validators, and wait for your approval before advancing. Loop configs live in your repo, versioned alongside code, reviewed in PRs.

Validators. At every loop boundary, dmx runs validators against a defined policy. Required checks block progress. Optional checks warn. You control what passes.

A memory bank. The .dmx/ directory is committed to your repo. Every session starts with full project context: the spec, the plan, decisions made, patterns established. You stop re-explaining the project to the AI every time.

Persistent job state. Every loop run is a tracked job with a task ID. State persists across sessions. Close the IDE and pick up tomorrow exactly where you left off.

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