AI Intelligence Dashboard - Comprehensive AI content aggregation platform

The Ultimate AI Intelligence Dashboard - Comprehensive AI content aggregation platform

AIFEED is a powerful desktop application that brings together the latest AI research, news, and insights from across the web in one intelligent dashboard. Built with Electron, React, and TypeScript, it provides a beautiful interface for monitoring AI trends, research papers, and industry news.

• 🤖 Multi-Source Aggregation - Collect AI content from arXiv, News API, YouTube, RSS feeds
• 🧠 AI-Powered Analysis - Claude API processes content for categorization and summarization
• 🔍 Smart Filtering - Filter by date, source, category, importance score
• 💾 Local Database - SQLite storage with full-text search capabilities
• 🔄 Background Updates - Automated scheduler for content refresh
• 🔖 Bookmarking System - Save important articles for later reference
• 📖 Read Tracking - Mark items as read/unread with progress tracking
• 🎨 Modern UI - Beautiful dark theme interface with responsive design
• ⚡ Native Performance - Built with Electron for optimal cross-platform performance
• 🖥️ Cross-Platform - Works on macOS, Windows, and Linux

# Clone and build
git clone https://github.com/sanchez314c/ai-feed.git
cd ai-feed

# Build and run with a single command!
./scripts/build-release-run.sh

# Run in development mode with hot reload
npm run dev

# Build only (don't launch)
npm run dist:current

# Build for all platforms
npm run dist:maximum

# Development with hot reload
npm run electron:dev

# Clean build artifacts
npm run clean

For running from source:

• Node.js 18+ and npm
• Python 3.8+ (for AI model integration)
• Git (for version control)

The application will guide you through installing any missing dependencies.

# Clone the repository
git clone https://github.com/sanchez314c/ai-feed.git
cd ai-feed

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env
# Add your API keys to .env file

# Start the application
npm run dev

# One-command build for current platform
npm run dist:current

# Build for all platforms
npm run dist:maximum

# Development build
npm run electron:dev

After building, find your executables in:

• macOS: dist/AIFEED-*.dmg and dist/mac*/AIFEED.app
• Windows: dist/AIFEED Setup *.exe
• Linux: dist/AIFEED-*.AppImage and dist/*.deb

• Pre-built Binary: Just double-click the application
• From Source: Run npm run dev for development or use built executables

Configure your API keys in the .env file:

ANTHROPIC_API_KEY=your_claude_api_key
NEWS_API_KEY=your_news_api_key
YOUTUBE_API_KEY=your_youtube_api_key

The app integrates with multiple sources:

• arXiv: AI research papers (cs.AI, cs.CL, cs.CV, cs.LG, cs.NE)
• News API: AI-related news articles from various sources
• YouTube: Content from AI channels and educational content
• RSS Feeds: OpenAI, Anthropic, Google AI, Meta AI blogs

• Browse Content: View aggregated content in the main dashboard
• Read & Bookmark: Mark articles as read and save important ones
• Search & Filter: Use advanced filtering to find relevant content
• Background Updates: Automatic content refresh at configured intervals

~/.ai-feed/
├── database/          # SQLite database
├── cache/            # Content cache
├── config.json       # App configuration
└── logs/             # Application logs

# Set custom content cache directory
export AIFEED_CACHE_DIR=/path/to/cache

# Set custom database directory
export AIFEED_DB_DIR=/path/to/database

# Set custom update interval (minutes)
export AIFEED_UPDATE_INTERVAL=30

# Disable background updates
export AIFEED_NO_BACKGROUND=1

ai-feed/
├── package.json              # Node.js configuration and dependencies
├── package-lock.json         # Dependency lock file
├── tsconfig.json             # TypeScript configuration
├── .eslintrc.json            # ESLint configuration
├── src/                      # Source code
│   ├── main/                # Electron main process
│   │   ├── main.ts          # Main application entry point
│   │   └── preload.ts       # Preload script
│   ├── renderer/            # React frontend
│   │   ├── App.tsx          # Main React component
│   │   ├── components/      # UI components
│   │   ├── services/        # API services
│   │   ├── types/           # TypeScript definitions
│   │   └── styles/          # CSS stylesheets
│   └── shared/              # Shared utilities and types
├── build_resources/          # Build resources and assets
│   ├── icons/               # Platform-specific icons
│   └── screenshots/         # Application screenshots
├── scripts/                 # Build and utility scripts
│   ├── build-release-run.sh # Unified build script
│   └── build-compile-dist.sh # Comprehensive build script
├── docs/                    # Documentation
├── archive/                 # Archived/backup files
└── dist/                    # Build outputs (generated)

Contributions are welcome! Please feel free to submit pull requests or create issues for bug reports and feature requests.

# Clone the repo
git clone https://github.com/sanchez314c/ai-feed.git
cd ai-feed

# Install dependencies
npm install

# Set up environment
cp .env.example .env
# Add your API keys to .env

# Run in development mode
npm run dev

# Run tests
npm test

# Lint code
npm run lint

# Type checking
npm run type-check

This project is licensed under the MIT License - see the LICENSE file for details.

• arXiv - For providing access to cutting-edge AI research papers
• News API - For aggregating AI-related news from various sources
• YouTube API - For access to AI educational content
• Anthropic Claude - For AI-powered content analysis and summarization
• Electron - For making cross-platform development possible
• The open-source AI community for making all of this possible

• Report Issues
• Request Features
• Discussions

AIFEED v1.0 - AI Intelligence Dashboard Built with AI!