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## Why Experimental feature toggles and memory settings can update several related config values in one interaction. Keeping those writes local in a remote TUI session is especially dangerous because the UI can diverge from the app-server config while also leaving behind partially stale supporting keys. This is **[3 of 4]** in a stacked series that moves TUI-owned config mutations onto app-server APIs. ## What changed - Routed feature flag persistence through app-server batch writes, including the supporting reviewer and permission updates used by guardian approval. - Routed Windows sandbox mode persistence and legacy Windows feature cleanup through app-server writes. - Routed memory settings through app-server batch writes and updated the TUI tests to exercise the embedded app-server path. ## Config keys affected - `features.<feature_key>` - `profiles.<profile>.features.<feature_key>` - `approval_policy` - `sandbox_mode` - `approvals_reviewer` - `windows.sandbox` - `features.experimental_windows_sandbox` - `features.elevated_windows_sandbox` - `features.enable_experimental_windows_sandbox` - Profile-scoped Windows legacy feature variants under `profiles.<profile>.features.*` - `memories.use_memories` - `memories.generate_memories` - Profile-scoped memory variants under `profiles.<profile>.memories.*` ## Suggested manual validation - Connect the TUI to a remote app server, toggle guardian approval on and off, and confirm the remote config updates `features.guardian_approval`, reviewer state, approval policy, and sandbox mode coherently. - Toggle a default-false experimental feature at the root level, disable it again, and confirm the key clears instead of lingering as an unnecessary explicit `false`. - Change memory settings and confirm the remote config updates both memory keys while the running TUI reflects the new state. - On Windows, switch sandbox mode through the TUI and confirm `windows.sandbox` is updated while the legacy Windows feature keys are cleared. ## Stack 1. [#22913](https://github.com/openai/codex/pull/22913) `[1 of 4]` primary settings writes 2. [#22914](https://github.com/openai/codex/pull/22914) `[2 of 4]` app and skill enablement 3. [#22915](https://github.com/openai/codex/pull/22915) `[3 of 4]` feature and memory toggles 4. [#22916](https://github.com/openai/codex/pull/22916) `[4 of 4]` startup and onboarding bookkeeping
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.