by xintaofei · Codex Skill · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Codeg English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Español | Deutsch | Français | Português | العربية Codeg (Code Generation) is a multi-agent coding workspace. It brings multiple agents (Claude Code, Codex CLI, OpenCode, Gemini CLI, OpenClaw, Cline, Hermes Agent, etc.) into one workspace, supporting conversation aggregation and multi-agent collaboration, with desktop installation plus server/Docker deployment. Sponsors <img src="https://raw.githubusercontent.com/Leo
| Stars | 1,921 |
| Forks | 226 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 66.3048436995523/100 |
| Open Issues | 86 |
| Last Updated | 2026-07-03 |
| Created | 2026-02-09 |
| Platforms | claude-code, cli, codex, docker, gemini, node |
| Est. Tokens | ~19k |
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codeg is Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, etc. Desktop app, self-hosted server, or Docker.. It is categorized as a Codex Skill with 1.9k GitHub stars.
codeg is primarily written in TypeScript. It covers topics such as acp, agent, claude-code.
You can find installation instructions and usage details in the codeg GitHub repository at github.com/xintaofei/codeg. The project has 1.9k stars and 226 forks, indicating an active community.
codeg is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to codeg on Agent Skills Hub include tokscale, takopi, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.