AI Chronicles

AI News Intelligence & Knowledge Graph

Knowledge Graphs Python Gemini API GitHub Actions Canvas RSS Aggregation

Nodes 0

Connections 0

Articles 0

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Knowledge Graph

Article

Topic

Organization

Model

Article Details

Click any node to explore its connections and details. Hover to preview, drag to rearrange.

Overview

AI Chronicles is a living knowledge graph that maps the AI landscape in real-time. Every day, it automatically aggregates 100+ pieces of content—research papers, articles, videos, and code repositories—from arXiv, Hacker News, YouTube, GitHub, and leading AI company blogs. Using Gemini AI, it extracts entities (organizations, models, topics) and builds a force-directed graph showing how ideas, companies, and technologies connect. Explore trending topics, discover relationships between research, and stay current on AI developments—all updated automatically via GitHub Actions.

Key Features

Automated Aggregation

Aggregates from 8+ sources daily: arXiv papers, AI company blogs (OpenAI, Google AI, Anthropic), Hacker News discussions, YouTube videos, and GitHub repositories.

AI Summarization

Gemini 3 generates concise summaries for content. Entity extraction identifies 20+ AI organizations, 20+ models, and 13 topic categories from each piece.

Knowledge Graph

HTML5 Canvas renders a force-directed physics simulation with 150+ nodes and 200+ edges. Four node types (articles, topics, orgs, models) are color-coded and sized by importance.

Trend Detection

Nodes are scored by recency, Hacker News points, and connection count. The graph intelligently displays the top 50 most relevant nodes, highlighting trending topics.

Technology Stack

Data Pipeline: Python scraper with feedparser for RSS, requests for APIs, and intelligent entity extraction
AI Integration: Gemini 3 API for content summarization (optional, works without it)
Visualization: HTML5 Canvas with custom force-directed physics (repulsion, attraction, damping, gravity)
Automation: GitHub Actions runs daily at 6 AM UTC, auto-commits updates to the knowledge graph
Data Sources: arXiv RSS (3 feeds), Hacker News Algolia API, YouTube, GitHub, and AI company blog feeds
Frontend: Vanilla JavaScript with responsive grid layout and real-time stats

From Data to Insight, Automatically

This graph started with a handful of nodes. Now it tracks hundreds of connections—entities extracted, relationships mapped, trends surfaced—without manual effort. Ready to build something that scales?

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