GNU Affero General Public License v3.0

项目介绍

kaya-go/kaya 是一个托管在 GitHub 上的开源项目,主要使用 TypeScript 编写,采用 GNU Affero General Public License v3.0 许可证,目前获得 131 个 Star、19 次 Fork。

仓库全名
kaya-go/kaya
开源许可证
GNU Affero General Public License v3.0
Star 数
131
Fork 数
19
未关闭 Issue
4

README 摘要

Kaya Play, study, and analyze Go — right from your browser or desktop. Kaya is a free, open-source Go (Baduk/Weiqi) application with AI-powered analysis, board recognition from photos, and a beautiful modern interface. Available on Windows, macOS, Linux, and the Web. ✨ Features Game & Study 🎯 Complete Go rules on 9×9, 13×13, and 19×19 boards 🌳 Visual game tree with variation support 📄 SGF import/export, drag &…

完整内容见 GitHub 原始 README 或本页 。

常见问题

kaya 用什么语言开发?

主要使用 TypeScript 编写,采用 GNU Affero General Public License v3.0 许可证,目前有 131 个 Star。

kaya 可以免费商用吗?

仓库标注的许可证为 GNU Affero General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 kaya 的源码?

可以直接克隆仓库:git clone https://github.com/kaya-go/kaya.git,默认分支为 main;安装与运行步骤见仓库 README。

kaya 最近还在维护吗?

仓库最近一次更新为 6 天前,当前有 4 个未关闭 Issue;Star 数为 131,可作为社区活跃度的参考。

关于

Play, study, and analyze Go — free & open-source app with AI analysis and board recognition from photos

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

CSS
HTML
JavaScript
Python
Rust
Shell
TypeScript

README

Kaya Logo

Kaya

Play, study, and analyze Go — right from your browser or desktop.

Kaya is a free, open-source Go (Baduk/Weiqi) application with AI-powered analysis, board recognition from photos, and a beautiful modern interface. Available on Windows, macOS, Linux, and the Web.

Download Web App Next


Kaya — Go game with AI analysis

✨ Features

Game & Study

  • 🎯 Complete Go rules on 9×9, 13×13, and 19×19 boards
  • 🌳 Visual game tree with variation support
  • 📄 SGF import/export, drag & drop, OGS URL import
  • ✏️ Edit mode with stones, markers, labels, and annotations
  • 📚 Game library — organize games in folders
  • 🎯 Score estimation with interactive dead stone marking

AI & Analysis

  • 🤖 Live win rate, move suggestions, and full game analysis (KataGo via ONNX)
  • 📊 Analysis graph with move quality colors
  • 🗺️ Ownership heatmap for territory visualization

Board Recognition

  • 📷 Snap a photo of a real board → get a playable SGF
  • 🧠 Powered by Moku AI (RT-DETR model)
Kaya — Board recognition from photo with Moku AI
Board recognition: snap a photo of any Go board and import it instantly

More

  • 🎮 Keyboard shortcuts, gamepad support, mouse wheel navigation
  • 🎨 6 board themes + dark/light mode
  • 🌍 8 languages (EN, ZH, KO, JA, FR, DE, ES, IT)
  • 📱 Responsive on mobile, tablet, and desktop

Platform Support

  • 🖥️ Desktop — Native performance on Windows, macOS, and Linux via Tauri
  • 🌐 Web — Play directly in your browser (works on mobile and tablet too)
    • Stable — Latest official release
    • Next — Built from main branch (newest features)
  • 📱 PWA — Install the web app on any device for offline use (no app store needed)

🚀 Get Started

Platform How
🌐 Web Open kayago.app — nothing to install
🪟 Windows Download .exe
🍎 macOS Download .dmg
🐧 Linux Download .AppImage

🛠️ Tech Stack

Layer Technology
Frontend React 19 + TypeScript 5 + Rsbuild
Desktop Tauri v2 (Rust backend)
AI KataGo via ONNX Runtime
Board Recognition Moku AI (RT-DETR) + classic CV pipeline
Build Bun workspaces (monorepo, 14 packages)
Go logic TypeScript ports from Sabaki

GitHub Release GitHub Downloads CI License: AGPL v3


🤝 Contributing

Contributions are welcome — bug reports, feature ideas, or code!


📜 License

AGPL-3.0 © 2025-2026 Hadim


🙏 Acknowledgments

  • Sabaki — Core Go libraries and inspiration
  • Tauri — Lightweight desktop framework
  • KataGo — AI analysis engine

“Kaya” (榧) — the Japanese nutmeg tree, whose wood makes the finest Go boards.

Made with ❤️ for the Go community

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