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QMReader

QMReader is a self-hosted reading workbench that treats RSS as raw material for knowledge you keep, not a pile of unread badges waiting to be cleared. Subscribe to RSSHub routes, direct feeds, sitemaps, Hacker News, Product Hunt, GitHub Trending, and Hugging Face Papers, and new items land in the article list immediately while translation and rewriting finish in the background. English headlines gain Chinese translations automatically, and full articles can be read as the original, a Chinese translation, or a plain-language rewrite, all kept side by side on the same page. Highlight passages, attach your own commentary, and open an AI conversation scoped to the article in front of you instead of starting from a blank chat box. Work you produce becomes a public reading asset with a stable link: translations, rewrites, comments, and dialogues collect on contributor pages and flow out through asset catalogs and RSS feeds for the next reader. Split background workers keep fast feed fetching separate from slower AI processing, and search, unread, popular, favorites, and history views keep a heavy reading habit navigable. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

QMReader
QMReader
QMReader
QMReader
QMReader
QMReader

Benefits

  • Reading That Leaves Assets
  • Translations, rewrites, highlights, comments, and article dialogues become public assets with stable deep links, contributor pages, and RSS feeds, so today's reading keeps helping tomorrow's readers.
  • Fast Feeds, Patient AI
  • Separate fetch and AI workers mean new items appear the moment feeds update, while title translation and rewriting complete asynchronously without ever blocking your reading list.
  • Three Ways To Read Everything
  • Every article keeps its original text, a Chinese translation, and a plain-language rewrite side by side, so you choose the depth that matches the time you have.
  • Sources Beyond Plain RSS
  • Aggregate RSSHub routes, direct feeds, sitemaps, and curated sources including Hacker News discussions, Product Hunt launches, GitHub Trending, and Hugging Face Papers in one list.

Features

  • Bilingual Title Translation
  • English headlines automatically gain Chinese translations after fetching, with full-text translation available per article while the original stays one click away.
  • Article Agent Chat
  • An AI companion scoped to the open article answers questions against its content, and the conversation itself can be published as a citable asset.
  • Highlights And Commentary
  • Select passages to annotate, add human commentary to any article, and reference individual highlights, comments, and dialogues through stable single-item links.
  • Split Background Workers
  • A fetch worker lands new RSS items and writes them to SQLite first; a separate AI worker then backfills translations and rewrites source by source.
  • Systemd Or Compose Deployment
  • Run it under Node with systemd on port 3088 behind Nginx or Caddy, or with Docker Compose, storing all runtime data in SQLite.

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