l0ng-ai/papr

Papr is a desktop RSS reader. RSS is a long-standing format that lets you subscribe to updates from blogs, news sites, and podcasts in one place, instead of visiting each site to check for new posts. Papr is built as a native desktop application, which the project tags suggest uses Rust and the Tauri framework along with a React interface for the windows you see. You subscribe to feeds, group them into folders, and import or export your subscription list in the standard OPML format so you can move it between readers. Articles can be sorted into smart views called All, Unread, Starred, and Read Later, each showing a live count. Color-coded tags can be applied by hand, and rules can be set up to tag new articles automatically as they arrive. When a feed only publishes a short summary of each post, Papr can fetch the full article text and clean it up for reading. The reader also has an AI section that produces article summaries, lets you ask questions of an article, and builds digests, but you supply your own API key for whatever model you want it to use. A built-in audio player carries playback from one article to the next. If you already use a FreshRSS server, Papr can sync read state with it. Otherwise everything is stored locally in a SQLite database with no account and no cloud component. The interface is available in English, Japanese, and Simplified Chinese, and installers for each platform are linked from the project's latest release page.