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# Overview MCP refreshes were rebuilding active threads from fresh disk-backed config only, which dropped thread-start session overlays such as app-injected MCP servers. This keeps refreshes current with disk config while preserving the thread-local config that only the active thread knows about. # Changes - Rebuild refreshed config per active thread using that thread's current `cwd`, rather than fanning out one app-server config to every thread. - Preserve each thread's `SessionFlags` layer while replacing reloadable config layers with freshly loaded config, then derive the MCP refresh payload from the rebuilt result. - Move MCP refresh orchestration into app-server so manual refreshes fail loudly while background refreshes remain best-effort, and route plugin-triggered refreshes through the same per-thread reload path. - Add regression coverage for session overlays, fresh project config, plugin-derived MCP config, current requirements, and strict vs best-effort refresh behavior. # Verification - Passed focused Rust coverage for the thread-config rebuild behavior and deferred MCP refresh flow, plus `cargo test -p codex-app-server --lib`. - Verified end to end in the Codex dev app against the locally built CLI: registered an MCP via thread config, verified that it could be used successfully before refresh, manually triggered MCP refresh, and verified that it continued to be available afterward.
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.