OpenAI Codex CLI can be installed globally using npm or Homebrew (macOS/Linux), or by downloading the precompiled binary from GitHub.
Installation Methods:
npm (Cross-platform): Run
npm install -g @openai/codexin your terminal. This is the recommended method for most users and works on macOS, Linux, and Windows.Homebrew (macOS/Linux): Run
brew install --cask codexto install the latest version directly.Direct Binary: Download the appropriate binary (e.g.,
codex-x86_64-unknown-linux-musl) from the GitHub Releases page, rename it tocodex, and add it to your system PATH.
Prerequisites and Setup:
Node.js: Ensure Node.js (v14 or later) is installed if using npm; Ubuntu users should install from NodeSource to avoid outdated versions.
Authentication: Run
codexin your terminal to start; you will be prompted to sign in with a ChatGPT account (Plus, Pro, Business, Edu, or Enterprise) or an API key.Windows Support: Native Windows support is currently experimental; for the best experience, use WSL (Windows Subsystem for Linux) and follow the standard Linux installation steps.
Verification and Updates:
Verify installation by running
codex --version.To upgrade to the latest version, execute
npm upgrade @openai/codex@latest.
How do you use OpenAI's Codex CLI?
Everything I Wish Existed When I Started Using Codex CLI — So I Built It
Everything I Wish Existed When I Started Using Codex CLI — So I Built It
Open source, community driven memory plugin for Codex CLI & Openclaw
Videos
» npm install @openai/codex
Hi,
OpenAI released their Codex CLI. It brings an AI coding agent directly to your terminal.
Do you find it useful for shell-based tasks? What do you use it for?
Automating file edits or refactoring code snippets ?? Isn't it better to integrate an LLM with an IDE? Cursor, VS Code, Github Copilot etc etc.
I suppose it's useful if you automate tasks in your terminal. But it's only something I do occasionally, when I train models on cloud computers, I commit/pull code back and forth between my computer and the cloud instance via Github. Can you give me your use cases?
Thanks.