Is Codeg — Local AI Coding Workspace (Tauri/Web) free to use?

Yes. Codeg — Local AI Coding Workspace (Tauri/Web) is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Codeg — Local AI Coding Workspace (Tauri/Web)?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Codeg — Local AI Coding Workspace (Tauri/Web)

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)

# 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)

<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 — 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.

Codeg — Local AI Coding Workspace (Tauri/Web)

Cet actif peut être lu et installé directement par les agents

Key facts (verified)

Main

README excerpt (source)

FAQ

Source et remerciements

Fil de discussion

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