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How to run Codex on a remote server

Running Codex on a remote machine means it keeps working when your laptop doesn’t. Here’s the do-it-yourself setup, and what to watch for.

Published

What you need

  • A Linux machine that stays on: a VPS, a cloud VM or a desktop at home.
  • SSH access to it, with a key.
  • Node.js on the server, and your repositories.
  • Your OpenAI or ChatGPT account for Codex.

1. Install Codex on the server

ssh my-server
npm install -g @openai/codex

Then sign in. On a server with no browser, follow the Codex docs for signing in on a headless machine.

2. Bring your code

Clone your repository and set up Git so Codex can commit:

git clone git@github.com:you/your-repo.git
cd your-repo

You’ll need a deploy key or an SSH key on the server that GitHub accepts.

3. Run Codex inside tmux

tmux new -s codex
codex
# detach with Ctrl-b then d

Codex keeps working after you disconnect. Reattach from any device with tmux attach -t codex.

4. Keep it healthy

  • Memory: watch it with free -h. If the agent dies overnight, it’s often the kernel killing a process that ran out of memory. Check dmesg for “Out of memory”.
  • Disk: node_modules, build caches and Docker images fill small disks fast. Check with df -h.
  • Restarts: after an OS update or a reboot, tmux sessions are gone. Start them again.
  • Secrets: keep API keys out of your shell history and out of the repo.

The managed alternative

If you’d rather not look after a server, Cube gives you an always-on Linux computer, with an app for your Mac and the web. Sign in, install Codex in one click, and give every task its own worktree. SSH is set up for you, and you can check in from your phone. To drive it from the Codex app on your Mac, see Connect the Claude and Codex apps.

Questions

Can Codex run on a headless Linux server?

Yes. The Codex CLI runs in a terminal, so it works over SSH on a Linux server. Signing in without a browser on the server takes an extra step; the Codex docs describe the options.

How much server do I need for Codex?

Codex itself is light, since the model runs on OpenAI’s side. What needs memory is everything the agent runs: installs, builds, test suites and dev servers. Very small instances often run out of memory on real projects.

Why does Codex stop when I close my SSH connection?

Processes started in an SSH session end when it closes. Run Codex inside tmux or screen so the session survives the disconnect.

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