Horizon Open-Source Project Offers AI-Powered News Aggregation and Briefing Generation

Overview of Horizon

Horizon is an open-source project designed to act as an AI-powered news radar, collecting, filtering, and deduplicating information from various feeds to generate structured daily briefings. The project aggregates content from sources such as RSS feeds, Hacker News, Reddit, Telegram, X, GitHub, and financial news platforms.

Core Features and Processing

According to the project documentation, Horizon uses customizable profiles to determine how different types of content are scored, treated, and summarized. Users can define specific editorial rules or allow AI assistance to categorize and route items.

Key processing steps include:

• Collection and Filtering: Gathering raw inputs from configured channels.
• Deduplication: Merging repeated stories within designated profiles.
• Enrichment: Adding web-researched background and community discussions where applicable.
• Digest Balancing: Capping briefing lengths and category shares to prevent single topics from dominating the output.

Configuration and Delivery

Horizon offers an interactive setup wizard for generating configuration files based on user interests. The system supports environment variable references for sensitive data such as API keys and base URLs.

Generated briefings can be produced in English and Chinese, formatted as Markdown, published via GitHub Pages, or delivered through email, webhooks, and other channels. The project also includes a Command Line Interface (CLI) and support for Model Context Protocol (MCP) integration, allowing AI assistants to execute pipeline stages.

Verification and Availability

Users interested in reviewing the full setup instructions, system requirements—such as Node.js and Python dependencies—and deployment templates can consult the official GitHub repository for Horizon to verify installation steps and configuration guidelines.