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FeedMe
Most RSS readers hand you a pile of headlines and make you do the reading; FeedMe reads first and hands you the pile already digested. It aggregates every feed you configure into one clean, ranked stream, and for each article an LLM writes a short summary you can scan in seconds, with the full original text one tab away when a story earns a deeper look. Sources organize into categories like Tech News, Finance News, Personal Blogs, Company Blogs, Open Source, Research, and Podcasts, and a global search finds stories across all of them. The reader never sleeps on stale content: a built-in cron refreshes feeds and regenerates summaries on your schedule (every three hours by default in Docker), so the page you open in the morning already covers the night. Summaries answer to you, not a vendor: point FeedMe at any OpenAI-compatible endpoint and tune the prompt, input truncation, temperature, and token budget, with output in the languages you choose. There are no accounts, no forced logins, and no app to install; the responsive page works on phone and desktop in light or dark themes. Because the whole application is a static site, it stays fast and cheap to run, and the same build can live on GitHub Pages or Vercel if you ever want a public edition next to your private one. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Benefits
- Summaries Before You Click
- Every article arrives with an LLM-generated summary next to the original text, so a morning scan of dozens of stories takes minutes and only the worthwhile ones earn a full read.
- Always Fresh, Automatically
- An in-container cron job re-fetches feeds, regenerates summaries, and rebuilds the site on your schedule (every three hours by default), with zero external services or manual refreshes required.
- No Accounts, No Lock-In
- FeedMe is a self-hosted static page: no logins, no subscriptions, no vendor cloud reading your subscriptions. Your feed list and reading habits stay on hardware you control.
- Your Model, Your Rules
- Any OpenAI-compatible endpoint works, and the summary prompt, input truncation, temperature, token limits, fallback text, and output languages are all configurable, including fully local models.
Features
- Multi-Source Aggregation
- Configure unlimited RSS and Atom sources, grouped into categories such as Tech News, Personal Blogs, and Research, and switch between them or search globally from one responsive page.
- AI Article Summaries
- Each story gets an LLM summary rendered beside the original content with a one-tab toggle; summaries use your OpenAI-compatible endpoint with tunable prompt, temperature, and token settings.
- Scheduled Auto Updates
- The Docker image runs dcron to fetch feeds and rebuild on a configurable schedule (default every three hours), while GitHub Actions can drive the same pipeline for hosted editions.
- Light And Dark Themes
- A responsive Vite-built interface offers light, dark, and system themes plus interface and summary language options, readable on phones, tablets, and desktops without any app install.