Main
- Start with server mode to validate the workflow end-to-end before investing in desktop packaging.
- Keep agent projects and persisted data on explicit volumes/paths so backups and migrations are predictable.
- If you expose it on a network, put it behind auth + TLS and treat it like any other internal dev service.
README excerpt (source)
# Codeg
[](https://github.com/xintaofei/codeg/releases)
[](./LICENSE)
[](https://tauri.app/)
[](https://nextjs.org/)
[](./Dockerfile)
<p>
<strong>English</strong> |
<a href="./docs/readme/README.zh-CN.md">简体中文</a> |
<a href="./docs/readme/README.zh-TW.md">繁體中文</a> |
<a href="./docs/readme/README.ja.md">日本語</a> |
<a href="./docs/readme/README.ko.md">한국어</a> |
<a href="./docs/readme/README.es.md">Español</a> |
<a href="./docs/readme/README.de.md">Deutsch</a> |
<a href="./docs/readme/README.fr.md">Français</a> |
<a href="./docs/readme/README.pt.md">Português</a> |
<a href="./docs/readme/README.ar.md">العربية</a>
</p>
Codeg (Code Generation) is an enterprise-grade multi-agent coding workspace.
It unifies local AI coding agents (Claude Code, Codex CLI, OpenCode, Gemini CLI,
OpenClaw, Cline, etc.) in a desktop app, standalone server, or Docker container — enablingFAQ
Q: Is there a one-line install?
A: The README includes an install.sh script and a codeg-server standalone server mode.
Q: Do I need Tauri? A: Only for the desktop app; server mode runs without a GUI.
Q: What should I secure first? A: Network exposure: add auth/TLS and restrict what directories the service can access.