Aurora RSS Reader

🇨🇳 中文 • 🇺🇸 English

🎉 v0.1.3 Latest Release | 最新版本

Major Performance & Feature Update | 性能与功能重大更新

• 🦀 Rust Backend - Fully migrated to Rust backend for superior performance and memory efficiency
• 📖 Reading Mode - Added immersive reading mode (experimental support for anti-crawl sites)
• ⏰ Enhanced Time Filtering - Added 2-day and 3-day filter options for better content management
• 🌐 Translation Options - Added title translation display mode settings
• ⚡ Concurrency Control - Added concurrency limits for translation tasks to prevent API throttling

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Introduction

Aurora RSS Reader is a cross-platform desktop RSS reader integrated with AI translation and summarization features. It supports multiple layout modes, local data storage, and rich customization options.

Current Version: v0.1.3

Key Features

Reading Experience

• Multiple Layout Modes - Support for three-column and single-column layouts
• Group Management - Organize RSS feeds by categories
• Full-text Search - Quick search in titles and content
• Favorites Feature - Bookmark important articles for later reading
• Time Filtering - Filter articles by publication date

Smart Features

• Article Summaries - Automatically generate key points for quick understanding
• Multi-language Translation - Support full-text and title translation for barrier-free reading
• Multi-language Interface - Chinese, English, Japanese, Korean interface support
• Flexible Configuration - Support multiple translation and summarization services

System Features

• Local Storage - SQLite database, offline available
• OPML Import/Export - Easy data migration
• Auto Refresh - Periodically fetch latest articles
• Dark Mode - Support dark and light themes
• RSSHub Support - Extend RSS feed coverage

Interface Preview

Layout Modes

Three-column layout Single-column layout

Multi-language Experience

Chinese Interface English Interface

Management Features

Subscription grouping Time filtering Favorites feature

Multi-language Interface

Chinese English Japanese Korean

Quick Start

System Requirements

• Node.js 18+
• Rust 1.70+ (with Cargo)
• pnpm 8+

Installation and Running

# Clone the repository
git clone https://github.com/xiongsircool/aurora-rss-reader.git
cd aurora-rss-reader

# One-click startup
chmod +x start.sh
./start.sh

The startup script will automatically:

• Build Rust backend in development mode
• Install frontend dependencies
• Initialize database
• Launch Electron application

Access URLs

• Desktop App: Electron window opens automatically
• Web Interface: http://localhost:5173
• API Service: http://127.0.0.1:15432

Configuration File

Edit rust-backend/.env to configure AI and RSSHub:

# RSSHub
RSSHUB_BASE=https://rsshub.app

# AI Configuration
GLM_BASE_URL=https://open.bigmodel.cn/api/paas/v4/
GLM_MODEL=glm-4-flash
GLM_API_KEY=your_api_key_here

Build and Release

# Build installation package
chmod +x build-release-app.sh
./build-release-app.sh

Generated files:

• macOS: Aurora RSS Reader-Mac-0.1.3-{x64,arm64}.dmg
• Windows: Aurora RSS Reader-Setup-0.1.3.exe
• Linux: aurora-rss-reader-0.1.3.AppImage

📋 Documentation | 文档

• Update Details - Detailed v0.1.3 update content | v0.1.3详细更新内容
• Chinese Version - Complete documentation in Chinese | 中文完整文档

Tech Stack

• Frontend: Vue 3 + Vite + Pinia + TypeScript
• Backend: Rust + Axum + SeaORM + SQLite
• Desktop App: Electron
• Build Tools: Cargo + electron-builder

Project Structure

aurora-rss-reader/
├── rss-desktop/          # Frontend code
│   ├── src/             # Vue source code
│   └── electron/        # Electron main process
├── rust-backend/        # Rust backend service
│   ├── src/            # Rust source code
│   └── Cargo.toml      # Rust dependencies
├── images/              # Image resources
└── start.sh            # Startup script

📋 Documentation | 文档

• Update Details - Detailed v0.1.3 update content | v0.1.3详细更新内容
• Chinese Version - Complete documentation in Chinese | 中文完整文档

Support

• Issue Reporting: GitHub Issues
• Feature Suggestions: GitHub Discussions
• Email Contact: 1666526339@qq.com

License

This project uses GNU General Public License v3.0, which is a copyleft open source license requiring derivative works to also be open source.

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🎯 Future Roadmap

Short-term Plans (v0.2)

• Mobile Support - Develop iOS and Android mobile applications
• AI Daily Briefing - Smart daily news summaries and personalized recommendations
• Podcast Support - Support for audio podcast subscription and playback
• Reading Analytics - Personal reading habits analysis and data visualization

Mid-term Plans (v0.3)

• Data Synchronization - Cross-device data sync and cloud backup
• Plugin System - Support for third-party plugin extensions

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