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l0ng-ai / papr

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A fast, native RSS reader for the desktop.

51
4
69% credibility
Found May 21, 2026 at 51 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Papr is a fast, native RSS reader for desktop computers that helps you subscribe to blogs, news sites, and newsletters in one place. It includes an AI-powered summarizer that can read long articles and give you quick summaries, a highlighting system for saving and annotating important passages with export to tools like Obsidian and Readwise, built-in audio playback for podcast episodes, email newsletter support via IMAP, and synchronization with FreshRSS servers. Everything is stored locally in a database on your computer, so there's no account or cloud service required. It also comes with a browser extension that detects RSS feeds on any webpage and lets you subscribe to them with one click.

How It Works

1
đź“° Your favorite blogs, all in one place

You add RSS feeds from your favorite websites — tech news, independent writers, podcasts — and Papr fetches everything automatically throughout the day.

2
đź“– Read without the noise

Open any article in a clean, distraction-free reader. Papr shows the full content even when feeds only provide a summary, and it keeps reading comfortable with adjustable fonts and layouts.

3
✨ Get the gist in seconds with AI

For long articles, Papr can read the full text and give you a quick summary plus key points — so you can decide in seconds whether to dive deeper.

4
🗂️ Organize with tags and folders

Create tags and folders to sort your feeds, then use rules to automatically tag new articles based on their title, author, or content.

5
📝 Save and export your highlights

When you find something worth remembering, highlight it and add notes. Your annotations can be exported to Obsidian, Readwise, or Notion — or shared as a simple Markdown file.

6
Listen while you work
🎵
Turn articles into a podcast playlist

Play audio enclosures from articles in sequence — like your own personal news radio station.

đź“§
Subscribe to newsletters by email

Connect your email inbox to receive newsletters directly in Papr, so nothing gets lost in your crowded inbox.

🎉 Your reading, perfectly organized

Everything stays local on your computer — no accounts, no cloud, just a fast, capable RSS reader that puts you in control of your information diet.

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AI-Generated Review

What is papr?

Papr is a native desktop RSS reader built with Rust and React that stores everything locally in SQLite. You subscribe to feeds, organize them into folders, tag articles with color-coded labels, and read content in a clean reader view with customizable typography. The app also ships with AI-powered features—summaries, article Q&A, and digests—that let you bring your own API key rather than forcing you into a proprietary service.

Why is it gaining traction?

The appeal is clear: a fully native app that respects your privacy without requiring accounts or cloud sync, yet still packs modern conveniences like AI assistance and an embedded audio player. The local-first architecture means zero latency and no server dependencies, while the FreshRSS sync option gives you a safety net if you want cloud backup later. Keyboard shortcuts (j/k navigation, star with S, read later with B) will feel familiar to terminal-savvy readers, and the browser extension for feed discovery solves one of RSS's friction points—finding subscribe links on the page you're browsing.

Who should use this?

Power users who consume multiple feeds daily and want a fast, distraction-free reading environment. Developers who prioritize local-first tools and resist yet another cloud dependency. Anyone who wants AI-assisted reading—summaries, asking questions about an article—without surrendering data to a third-party service. Podcast listeners who want RSS audio to continue playing across article navigation.

Verdict

This is a well-structured, feature-rich RSS reader with a Rust backend that delivers the native feel and performance the category lacks, but with only 51 stars and a credibility score of 0.699999988079071%, it's early and unproven at scale. The codebase shows thoughtful engineering (i18n, error boundaries, tests), so the foundation is solid—yet the community is minimal. Worth installing if you want local-first RSS with AI, but treat it as an actively-developed project rather than a stable product. Watch the releases for maturity milestones before committing it as a daily driver.

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