# Codeg — Local AI Coding Workspace (Tauri/Web) > Run Codeg as a standalone server or desktop app to manage local agent workflows, MCP installs, and engineering loops; one-line install is available. ## Install Copy the content below into your project: ## Quick Use ```bash curl -fsSL https://raw.githubusercontent.com/xintaofei/codeg/main/install.sh | bash codeg-server ``` ## Intro Use Codeg to host a local coding workspace for agents and access it from your browser or as a Tauri desktop app. Run Codeg as a standalone server or desktop app to manage local agent workflows, MCP installs, and engineering loops; one-line install is available. **Best for:** developers who want a self-hosted UI + server for local AI coding workflows, MCP management, and multi-tool integrations **Works with:** Linux/macOS server mode (curl install), optional desktop/Tauri mode, Node.js toolchain for development **Setup time:** ~5–12 minutes (install script + first run) ### Key facts (verified) - GitHub: 1,178 stars · 126 forks · pushed 2026-05-14. - License: Apache-2.0 · owner avatar + repo URL verified via GitHub API. - Entrypoint (README-backed): `curl -fsSL https://raw.githubusercontent.com/xintaofei/codeg/main/install.sh | bash`. ## 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) ```text # Codeg [![Release](https://img.shields.io/github/v/release/xintaofei/codeg)](https://github.com/xintaofei/codeg/releases) [![License](https://img.shields.io/github/license/xintaofei/codeg)](./LICENSE) [![Tauri](https://img.shields.io/badge/Tauri-2.x-24C8DB)](https://tauri.app/) [![Next.js](https://img.shields.io/badge/Next.js-16-black)](https://nextjs.org/) [![Docker](https://img.shields.io/badge/Docker-ready-2496ED)](./Dockerfile)

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 — enabling ``` ### FAQ **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. ## Source & Thanks > Source: https://github.com/xintaofei/codeg > License: Apache-2.0 > GitHub: 1,178 stars · 126 forks · pushed 2026-05-14 --- ## 快速使用 ```bash curl -fsSL https://raw.githubusercontent.com/xintaofei/codeg/main/install.sh | bash codeg-server ``` ## 简介用 Codeg 搭建本地的 agent 编程工作台，可在浏览器访问或以桌面应用方式使用。 Codeg 可作为桌面应用或独立 Web 服务运行，用于管理本地 agent 工作流、MCP 扫描/安装与工程循环；支持 server 模式自托管，并提供一键安装脚本，适合团队内网部署与权限隔离。 **适合谁：** 想要自托管的 UI + Server 来承载本地 AI 编程工作流、MCP 管理与多工具集成的开发者 **可搭配：** Linux/macOS 的 server 模式（curl 安装），可选桌面/Tauri 模式，开发需 Node.js 工具链 **上手时间：** 约 5–12 分钟（安装脚本 + 首次运行） ### 关键事实（已验证） - GitHub：1,178 stars · 126 forks · 最近更新 2026-05-14。 - 许可证：Apache-2.0（GitHub API 已验证仓库 URL / 头像等基础信息）。 - 入口命令（基于 README）：`curl -fsSL https://raw.githubusercontent.com/xintaofei/codeg/main/install.sh | bash`。 ## 主要内容 - 建议先用 server 模式把端到端流程跑通，再决定是否需要桌面打包。 - 把项目目录与数据持久化路径显式配置（volume/目录），备份与迁移会更可控。 - 一旦对外网段开放，请加鉴权 + TLS，把它当成内部开发服务来运营。 ### README 摘录（来源） ```text # Codeg [![Release](https://img.shields.io/github/v/release/xintaofei/codeg)](https://github.com/xintaofei/codeg/releases) [![License](https://img.shields.io/github/license/xintaofei/codeg)](./LICENSE) [![Tauri](https://img.shields.io/badge/Tauri-2.x-24C8DB)](https://tauri.app/) [![Next.js](https://img.shields.io/badge/Next.js-16-black)](https://nextjs.org/) [![Docker](https://img.shields.io/badge/Docker-ready-2496ED)](./Dockerfile)