Agent IDE — Codex fork for AI-native development environment
cd5f49a619
Promotes the Steer feature from Experimental to Stable and enables it by default. ## What is Steer mode? Steer mode changes how message submission works in the TUI: - **With Steer enabled (new default)**: - `Enter` submits messages immediately, even when a task is running - `Tab` queues messages when a task is running (allows building up a queue) - **With Steer disabled (old behavior)**: - `Enter` queues messages when a task is running - This preserves the previous "queue while a task is running" behavior ## How Steer vs Queue work The key difference is in the submission behavior: 1. **Steer mode** (`steer_enabled = true`): - Enter → `InputResult::Submitted` → sends immediately via `submit_user_message()` - Tab → `InputResult::Queued` → queues via `queue_user_message()` if a task is running - This gives users direct control: Enter for immediate submission, Tab for queuing 2. **Queue mode** (`steer_enabled = false`, previous default): - Enter → `InputResult::Queued` → always queues when a task is running - Tab → `InputResult::Queued` → queues when a task is running - This preserves the original behavior where Enter respects the running task queue ## Implementation details The behavior is controlled in `ChatComposer::handle_key_event_without_popup()`: - When `steer_enabled` is true, Enter calls `handle_submission(false)` (submit immediately) - When `steer_enabled` is false, Enter calls `handle_submission(true)` (queue) See `codex-rs/tui/src/bottom_pane/chat_composer.rs` for the implementation. ## Documentation For more details on the chat composer behavior, see: - [TUI Chat Composer documentation](docs/tui-chat-composer.md) - Feature flag definition: `codex-rs/core/src/features.rs` |
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| codex-cli | ||
| codex-rs | ||
| docs | ||
| patches | ||
| scripts | ||
| sdk/typescript | ||
| shell-tool-mcp | ||
| third_party/wezterm | ||
| .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 | ||
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 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.