linux musl build steps in `rust-release.yml` are [currently broken](https://github.com/openai/codex/actions/runs/22367312571) because of linking issues due to ubsan-calling types (`jitterentropy`) leaking into the build. add `AWS_LC_SYS_NO_JITTER_ENTROPY=1` to the musl build step to avoid linking those ubsan-calling types. this is a more temporary fix, we need to clean up ubsan usage upstream so they dont leak into release-build steps anyways. codex's more thorough explanation below: [pr 9859](https://github.com/openai/codex/pull/9859) added [MITM init](https://github.com/openai/codex/pull/9859/changes#diff-db782967007060c5520651633e1ea21681d64be21f2b791d3d84519860245b97R62-R68) in network-proxy, which wires in cert generation code (rcgen/rustls). this didnt bump/change dep versions, but it changed symbol reachability at link time. for musl builds, that made aws-lc-sys’s jitterentropy objects get pulled into the final link. those objects contain UBSan calls (__ubsan_handle_*). musl release linking is static (*-linux-musl-gcc, -nodefaultlibs) and does not link a musl UBSan runtime, so link fails with undefined __ubsan_*. before, our custom musl CI UBSan steps (install libubsan1, RUSTC_WRAPPER + LD_PRELOAD, partial flag scrubbing) masked some sanitizer issues. after this pr, more aws-lc code became link-reachable, and that band-aid wasn't enough. |
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| .codex/skills | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party | ||
| .bazelignore | ||
| .bazelrc | ||
| .bazelversion | ||
| .codespellignore | ||
| .codespellrc | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| AGENTS.md | ||
| announcement_tip.toml | ||
| BUILD.bazel | ||
| CHANGELOG.md | ||
| cliff.toml | ||
| defs.bzl | ||
| flake.lock | ||
| flake.nix | ||
| justfile | ||
| LICENSE | ||
| MODULE.bazel | ||
| MODULE.bazel.lock | ||
| NOTICE | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| rbe.bzl | ||
| README.md | ||
| SECURITY.md | ||
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, Team, 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.