BenedictKing/ccx
ccx
Claude / Codex / Gemini API Proxy - CCX
Usage guide
ccx is an open-source project around claude, codex, gemini with 2,257 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in Go, useful for judging integration effort in a similar stack.
- GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating ccx for Go AI workflows.
- Comparing a GitHub project with 2,257 stars and current repository activity.
Pros
- ccx has visible GitHub traction with 2,257 stars. Topics: claude, codex, gemini.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
ccx should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
Install tutorial
Before you install
- Docker Engine with enough disk space for images and volumes
- Local build tools for compiling the project
- A clean working directory for the first test run
Check the runtime environment
ccx has Docker in the setup path. Confirm Docker Engine works and reserve enough disk space for images and volumes.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/BenedictKing/ccx.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ docker run -d \Troubleshooting
- If Docker startup fails, check port conflicts, image pull permissions, and volume paths first.
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented ccx example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
What is ccx?
ccx is an open-source ai coding project. Claude / Codex / Gemini API Proxy - CCX
How do I install ccx?
Start with the official README. The first detected setup step is: git clone https://github.com/BenedictKing/ccx.git.
Is ccx beginner-friendly?
If you already know the Go ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can ccx be used commercially?
GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does ccx need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt ccx?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.