## Why The local memories MCP backend only rejected symlinks after resolving the final path. That left room for scoped requests like `skills/secret.md` to walk through a symlinked ancestor directory and escape the configured memories root. This change also makes missing scoped paths fail explicitly instead of looking like an empty `list` / `search` result or a `NotFile` read error. ## What Changed - walk each scoped path component in `LocalMemoriesBackend::resolve_scoped_path` and reject symlinked ancestors before accessing the target - reject scoped paths that traverse through a non-directory intermediate component - add a `NotFound` backend error for missing `read`, `list`, and `search` paths and map it through the MCP server error conversion - add coverage for missing paths and symlinked ancestor directories in `codex-rs/memories/mcp/src/local_tests.rs` ## Testing - added unit coverage in `codex-rs/memories/mcp/src/local_tests.rs` for missing paths and symlinked ancestor directories across `read`, `list`, and `search`
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.
