auto-news
Aggregate many content sources, filter noise with LLMs, and generate insights and tasks.
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- Updated Jul 12, 2026
Aggregate many content sources, filter noise with LLMs, and generate insights and tasks.
Auto-News collects RSS feeds, Reddit posts, tweets, YouTube videos, web articles, and personal journal notes into a Notion-based reading workflow. It uses OpenAI, Gemini, or Ollama models to filter unwanted items, generate insights, create weekly recaps, and turn takeaways into tasks. The open-source setup is self-hosted and has meaningful infrastructure requirements: the documented minimum is 2 CPU cores, 6 GB of memory, and 20 GB of disk.
Resource types
Use cases
Runtime
Break market themes into supply-chain bottlenecks and prioritize stocks or funds for research.
Distill books, long videos, and podcasts into callable, testable agent skills.
Capabilities
Audience
Public GitHub facts last synced Jul 14, 2026.
Generate prioritized AI opportunity maps and implementation roadmaps for companies.
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