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.