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AI Intelligence Hub

Track AI trends from 19 sources in one dashboard. GitHub Trending, HuggingFace, MCP Servers, Claude Code Releases, Anthropic Skills & Cookbooks, arXiv, Google AI Blog, Simon Willison, and more — with full-text search and keyword scoring.

License: MIT Node.js Port Sources


Quick Start

git clone https://github.com/ytrofr/ai-intelligence-hub.git
cd ai-intelligence-hub
npm install
node server.js
# Open http://localhost:4444

No external services required. All 19 sources use free, unauthenticated APIs. Fetches all sources in parallel (~5 seconds).

Optional: Add a GITHUB_TOKEN in .env to increase GitHub API rate limit from 60/h to 5,000/h. See .env.example.


Features

  • 19 AI Sources — GitHub Trending repos, HuggingFace models, MCP server registry, Claude Code releases and docs, Anthropic Skills Library, Claude Cookbooks, arXiv CS.AI, Google AI Blog, Simon Willison, MarkTechPost, The Gradient, Hacker News, Product Hunt, Anthropic Blog, OpenAI Blog, TechCrunch AI, MIT AI News, AI News
  • Full-Text Search — SQLite FTS5 indexes all items for instant keyword search
  • Keyword Scoring — Configurable categories with weighted keywords rank items by relevance
  • Bookmarks — Save items for later with persistent bookmarks
  • Modular Architecture — Add new sources by extending BaseModule (one file per source)
  • Zero Build Step — Vanilla JavaScript frontend, no bundler or framework required
  • Self-Contained — SQLite database, no external database or service dependencies

Sources

Source Type Refresh What It Tracks
GitHub Trending github 60 min AI/LLM/MCP repos ranked by stars
HuggingFace huggingface 30 min Trending ML models
Hacker News rss 5 min Front page tech news
Product Hunt rss 15 min New product launches
AI News rss 60 min AI industry newsletter
Anthropic Blog rss 60 min Official Anthropic announcements
OpenAI Blog rss 60 min OpenAI research and updates
MCP Servers mcp 30 min MCP server registry (glama.ai)
TechCrunch AI rss 15 min AI category from TechCrunch
MIT AI News rss 60 min MIT AI research
Claude Code Releases changelog 60 min GitHub releases with version notes
Claude Code Docs changelog 360 min 98 documentation pages
Anthropic Skills changelog 360 min Official skill library (16 skills)
Claude Cookbooks changelog 360 min Agent patterns and notebooks
arXiv CS.AI rss 60 min AI research papers
Simon Willison rss 60 min AI developer blog
Google AI Blog rss 60 min Google AI research and products
MarkTechPost rss 60 min ML research summaries
The Gradient rss 60 min In-depth AI research analysis

Architecture

server.js (port 4444)
├── modules/           # Source fetchers (BaseModule pattern)
│   ├── base-module.js # Abstract base with normalize()
│   ├── github.js      # GitHub trending repos
│   ├── huggingface.js # HuggingFace models
│   ├── rss.js         # RSS/Atom feeds (12 sources)
│   ├── mcp-registry.js# MCP server registry
│   └── changelog.js   # Claude Code releases + docs
├── config/
│   ├── sources.json   # Source definitions (URL, type, refresh)
│   └── keywords.json  # Scoring categories and weights
├── database/          # SQLite with FTS5 full-text search
│   ├── db.js          # Database operations
│   └── schema.sql     # Table definitions
├── routes/            # Express API routes
│   ├── items.js       # List/filter items
│   ├── fetch.js       # Trigger source fetches
│   ├── sources.js     # Source management
│   ├── bookmarks.js   # Bookmark CRUD
│   ├── stats.js       # Dashboard statistics
│   └── search.js      # FTS5 search + suggestions
└── public/            # Frontend (vanilla JS)
    ├── index.html     # Single-page dashboard
    ├── css/           # Styles (variables, layout, components)
    └── js/            # App logic (api, filters, ui, icons)

API Reference

Method Endpoint Description
GET / Dashboard UI
GET /api/items List items (paginated, filters)
POST /api/fetch Trigger fetch from sources
GET /api/sources List configured sources
GET /api/bookmarks List bookmarked items
GET /api/stats Dashboard statistics
GET /api/search Full-text search (FTS5)
GET /api/health Health check

Adding a New Source

  1. Create a module in modules/ extending BaseModule
  2. Implement the fetch() method returning normalized items
  3. Register it in modules/index.js
  4. Add source config to config/sources.json
  5. Add badge CSS in public/css/components.css

See CONTRIBUTING.md for details.


Configuration

Keyword Scoring

Edit config/keywords.json to customize scoring categories:

{
  "categories": [
    {
      "id": "mcp",
      "label": "MCP & Tools",
      "keywords": ["mcp", "model context protocol", "tool-use"],
      "weight": 3
    }
  ]
}

Source Configuration

Edit config/sources.json to add or modify sources:

{
  "sources": [
    {
      "id": "github-trending",
      "name": "GitHub Trending",
      "type": "github",
      "url": "https://api.github.com/search/repositories",
      "refresh_minutes": 60
    }
  ]
}

Requirements

  • Node.js 18+
  • No external databases (SQLite is embedded)
  • No API keys required (all sources use free APIs)
  • Optional: GitHub personal access token for higher rate limits

FAQ

Q: What port does the Intelligence Hub run on? A: Port 4444. This is hardcoded in server.js and does not conflict with other common development ports.

Q: Do I need any API keys? A: No. All 19 sources use free, unauthenticated APIs. Optionally add a GITHUB_TOKEN for higher GitHub rate limits (60/h free, 5,000/h with token).

Q: How is data stored? A: SQLite with FTS5 (full-text search). The database is created automatically on first run. No setup needed.

Q: Can I add my own sources? A: Yes. Create a module extending BaseModule, register it, and add config. See CONTRIBUTING.md.

Q: Is there a hosted version? A: No. This is a local-first tool designed to run on your machine. Your data stays on your machine.


Built With


License

MIT

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AI Intelligence Hub - Track 14 AI sources (GitHub, HuggingFace, MCP, Claude Code, Anthropic Skills & Cookbooks) with full-text search and keyword scoring. Port 4444.

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