claude-code-codex-bridge: Sync Your Claude Code Setup with Codex
This repository profile is provided by osrepos.com, an open source repository discovery platform.

Summary
The `claude-code-codex-bridge` is a Python tool that automatically synchronizes your Claude Code setup, including plugins, skills, agents, and commands, with Codex. This one-way bridge ensures that any changes made in Claude Code are reflected in Codex, keeping both environments equally effective. It streamlines the management of AI coding tools by allowing you to configure once and deploy across both platforms.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
The claude-code-codex-bridge is an innovative Python tool designed to seamlessly integrate your Claude Code development environment with Codex. It acts as a one-way bridge, reading your Claude Code setup, including plugins, skills, agents, commands, MCP servers, and instructions, and generating equivalent Codex artifacts. This ensures that you only need to configure your AI coding tools once in Claude Code, and the bridge will keep Codex in sync, maintaining consistent effectiveness across both platforms.
Installation
Getting started with claude-code-codex-bridge is straightforward. The recommended method is to use the installer script from GitHub releases:
curl -fsSL https://github.com/vladolaru/claude-code-codex-bridge/releases/latest/download/install.sh | bash
This installer downloads a self-contained bundle and installs it with pip --no-index, eliminating the need for PyPI. It supports Python versions 3.11, 3.12, 3.13, and 3.14.
To verify your installation and environment, run:
cc-codex-bridge doctor
You can also upgrade to the latest version at any time:
cc-codex-bridge upgrade
Examples
Once installed, claude-code-codex-bridge offers several commands to manage your AI coding environments:
Reconcile a Single Project
Navigate to your project directory and run reconcile to sync its Claude Code setup with Codex:
cd ~/path/to/your/project
cc-codex-bridge reconcile
You can preview the changes before applying them:
cc-codex-bridge reconcile --dry-run --diff --project .
Reconcile All Projects
To manage multiple projects, register scan paths and reconcile all at once:
cc-codex-bridge config scan add "~/path/to/projects/*"
cc-codex-bridge reconcile --all
Automatic Synchronization (macOS)
For continuous synchronization, install a background agent that runs reconcile --all every 30 minutes:
cc-codex-bridge autosync install
Check Synchronization Status
Verify the sync status for all your projects:
cc-codex-bridge status --all
Why Use It?
The claude-code-codex-bridge offers significant advantages for developers working with both Claude Code and Codex:
- Efficiency: Configure your AI agents, skills, and commands once in Claude Code and have them automatically mirrored in Codex, saving valuable time and effort.
- Consistency: Ensure that both your Claude Code and Codex environments are always up-to-date and equally effective, preventing discrepancies in your AI coding tools.
- Automation: Leverage features like
autosyncto maintain continuous synchronization in the background, allowing you to focus on coding rather than manual updates. - Streamlined Management: Simplify the complex task of managing multiple AI coding tools by providing a unified source of truth for your configurations.
- Powerful Integration: Bridge the capabilities of two powerful AI development platforms, enhancing your overall coding workflow.
Links
Related repositories
Similar repositories that may be relevant next.

code-review-graph: AI-Powered Code Intelligence for Smarter Reviews
August 6, 2026
code-review-graph is a local-first code intelligence graph that optimizes AI coding tools by building a persistent map of your codebase. It significantly reduces context for AI reviews and large-repo workflows, ensuring AI assistants read only the most relevant code. This leads to more efficient and cost-effective code analysis.

Kilo Code: Open Source AI Coding Assistant for VS Code
November 28, 2025
Kilo Code is an open-source AI coding assistant designed for VS Code, helping developers plan, build, and fix code efficiently. It integrates the latest AI models like Gemini, Claude, and GPT, offering features such as code generation, task automation, and automated refactoring. This powerful extension aims to streamline the development workflow by adapting to your coding style.
Source repository
Open the original repository on GitHub.