All 37 Dependencies
Every package auto-news depends on, ranked by repo health score.
Auto-News is an open source personal content aggregator designed to combat information overload in the AI era. It pulls from Twitter, RSS feeds, YouTube, Reddit, web articles, and personal journal notes, then routes each item through a configurable LLM backend—OpenAI ChatGPT, Google Gemini, or locally-run Ollama models via LangChain—to rank, categorize, and summarize content based on your personal interests.
The pipeline runs on Apache Airflow, making it fully schedulable and observable. Each source type has its own dedicated operator that handles pulling, deduplication against Redis, LLM summarization, and publishing results into Notion databases. The result is a unified RSS-reader-style inbox where noisy content is filtered out before it reaches you, with only the highest-ranked insights surfacing for human review.
AutoNews also includes a Weekly Top-k Recap feature, automatically generating periodical digests, as well as an experimental multi-agent Deepdive mode powered by AutoGen that lets you explore any topic across the web through an autonomous search agent. A hosted managed version (Dots Agent) exists as a commercial offering available on iOS, Android, and the web for those who prefer not to self-host.
