Retro2512/CodexZero
Measured, monotonic, lossless input savings for Codex.
- Stars
- 59
- Forks
- 3
- Open issues
- 3
- Last push
- 1d ago
CodexZero star history
+0 this week
About CodexZero
CodexZero is a free, open-source AI coding tool by Retro2512, written mainly in JavaScript. Measured, monotonic, lossless input savings for Codex. It has 59 GitHub stars and 3 forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- JavaScript
- Stars
- 59
- Last update
- 1d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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CodexZero FAQ
Can I use CodexZero commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is CodexZero free?
Yes. CodexZero is open source and free to use. It's released under the MIT license, a standard open-source license.
Does CodexZero run on a Mac?
Yes. According to the project, CodexZero works on macOS.
Does CodexZero need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is CodexZero still maintained?
Yes. It was last updated 1d ago and has 3 open issues on GitHub.
What are alternatives to CodexZero?
Similar free, open-source tools include rtk, claude-skills, token-optimizer, academic-research-skills-codex.
Maintain CodexZero?
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