AIHOT

AIHOT is a self-hosted framework for building AI-curated news and industry intelligence websites. It collects material from sources such as RSS feeds, websites, JSON APIs, social accounts, WeChat, and custom scripts. Incoming items are deduplicated, prefiltered, scored twice by language models, and selected according to configurable thresholds. The system writes summaries, titles, translations, tags, and recommendations before clustering related reports into shared events. Event popularity is calculated from independent sources instead of raw article counts. It can automatically publish daily, weekly, and monthly briefings with topic pages and search. RSS, APIs, MCP, Markdown endpoints, administration tools, and Docker deployment make the framework usable by both people and AI agents.

Features

Multi-source news collection
AI filtering and double scoring
Automatic summaries and translations
Event clustering and trend ranking
Daily, weekly, and monthly reports
RSS, API, MCP, and agent interfaces

Project Samples

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License

MIT License

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Additional Project Details

Programming Language

TypeScript

Related Categories

TypeScript Frameworks

Registered

2026-10-02

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