Don’t rebuild it.Just use Codex.

Codex Desktop in a Docker container. Bridge it over HTTP. Keep its native browser, computer use, threads, and free upgrades from OpenAI.

One Docker container · One HTTP API · Full Codex capabilities
Bots in the cloud running a Codex-powered Hacker News research task
Three bell-curve meme characters
HTTP-nativeOne clean API
Real Codex DesktopNot an imitation
Built-in browserCapabilities intact
Persistent threadsContext stays put
Headless Codex API driving Codex Desktop's built-in browser to inspect Hacker News

Desktop power.
Worker shape.

The shortest path to a capable Codex worker is the one that keeps Codex itself in the loop. JustUseCodex wraps the native app in a container and gives your code a straightforward HTTP surface.

01 / CONTAIN

Run the real app

Codex Desktop lives inside an isolated worker with its own persistent state.

02 / BRIDGE

Talk over HTTP

Send turns, inspect status, manage threads, and invoke the native runtime through one API.

03 / USE

Build the thing

Connect your app, automation, or agent. The browser and computer-use surface come along.

Shimex

Use any inference providers you want in Codex Desktop.

Explore Shimex ↗

No SDK
required.

If it can make an HTTP request, it can use your worker. Start a turn with JSON and follow the run until Codex is done.

API

Get service health

Check the running Headless Codex worker.

GET/v1/health

Response

Not sent
Choose “Send request” to preview the response.

Bro, you're not going to out-build OpenAI's coding product from your bedroom.

They have an army of engineers and a mountain of GPUs. That annoying missing feature? They'll probably ship it before you finish rebuilding their entire stack.