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A clean release build takes ~18m and an incremental build takes ~12m. This is far too slow to iterate on performance related changes and the build time is dominated by LTO. This pull request adds a `profiling` profile for Cargo which takes ~13m clean and ~6m incremental, the primary change is that LTO is disabled. This matches a profile used in uv and follows the great work at https://github.com/astral-sh/uv/pull/5955 — there's a bit of commentary there about the trade-offs this implies. We've found that this does not inhibit the ability to accurately benchmark as measurements with LTO disabled are generally consistent with the results with LTO enabled and it makes it much faster (~2x) to rebuild after making a change. This is motivated by my interest in improving Codex TUI performance, which is blocked by the tragically builds right now. I tested incremental build times by making a no-op change to the `codex-cli` crate.
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.