Agent IDE — Codex fork for AI-native development environment
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## Summary - treat `requirements.toml` `allowed_domains` and `denied_domains` as managed network baselines for the proxy - in restricted modes by default, build the effective runtime policy from the managed baseline plus user-configured allowlist and denylist entries, so common hosts can be pre-approved without blocking later user expansion - add `experimental_network.managed_allowed_domains_only = true` to pin the effective allowlist to managed entries, ignore user allowlist additions, and hard-deny non-managed domains without prompting - apply `managed_allowed_domains_only` anywhere managed network enforcement is active, including full access, while continuing to respect denied domains from all sources - add regression coverage for merged-baseline behavior, managed-only behavior, and full-access managed-only enforcement ## Behavior Assuming `requirements.toml` defines both `experimental_network.allowed_domains` and `experimental_network.denied_domains`. ### Default mode - By default, the effective allowlist is `experimental_network.allowed_domains` plus user or persisted allowlist additions. - By default, the effective denylist is `experimental_network.denied_domains` plus user or persisted denylist additions. - Allowlist misses can go through the network approval flow. - Explicit denylist hits and local or private-network blocks are still hard-denied. - When `experimental_network.managed_allowed_domains_only = true`, only managed `allowed_domains` are respected, user allowlist additions are ignored, and non-managed domains are hard-denied without prompting. - Denied domains continue to be respected from all sources. ### Full access - With managed requirements present, the effective allowlist is pinned to `experimental_network.allowed_domains`. - With managed requirements present, the effective denylist is pinned to `experimental_network.denied_domains`. - There is no allowlist-miss approval path in full access. - Explicit denylist hits are hard-denied. - `experimental_network.managed_allowed_domains_only = true` now also applies in full access, so managed-only behavior remains in effect anywhere managed network enforcement is active. |
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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.