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papr

A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the s…

l0ng-ai
Rust48945 forksMITupdated 2 weeks ago
git clone https://github.com/l0ng-ai/papr.gitl0ng-ai/papr
Papr

Papr

A fast, native RSS reader — and a CLI your AI agent can actually drive.

Papr

Papr is two front-ends over one local database:

  • A desktop reader — fast, native, offline-first. No account, no cloud.
  • papr, an agent-facing CLI — so an autonomous agent (Claude Code, Codex, OpenCode…) can read, search and triage your feeds straight from the shell. Jump to it ↓

Both read the same database through the shared papr-core crate, so the app and the CLI can never drift apart.


The desktop app

  • Feeds & folders — subscribe, organize, and import/export OPML.
  • Smart views — All, Unread, Starred, and Read Later, with live counts.
  • Tags & rules — color-coded tags and rules that tag new articles automatically.
  • Full-text — fetch and clean the complete article when a feed ships only a summary.
  • AI — summaries, ask-the-article Q&A, and digests. Bring your own API key.
  • Audio — a built-in player that follows you from article to article.
  • FreshRSS sync — keep read state in step with a FreshRSS server.
  • Local-first — everything stays on your machine. No account, no cloud.
  • Localized — English, Japanese, and Simplified Chinese.

Install

Platform How
macOS brew install --cask l0ng-ai/papr/papr — or grab the .dmg
Windows Download the .msi installer
Linux Download the .AppImage or .deb

All packages live on the latest release. The macOS builds are Developer ID signed and notarized.


papr — your feeds, handed to your agent

This is what makes Papr different. papr is a command-line companion built for autonomous agents to drive over the shell. Point your agent at it and it can work your feeds with no GUI:

  • Readfeeds, list, read, full-text search
  • Triagemark read/star/later, extract full text, refresh
  • Manage — subscriptions, folders, tags, rules, highlights, OPML
  • Sync — FreshRSS / Miniflux

Run bare papr and it prints your unread dashboard plus the next useful commands, so the agent orients with zero manual. Output is TOON — ~40% fewer tokens than JSON — with definitive counts and structured exit codes.

$ papr
unread: 206   starred: 17   later: 0   feeds: 15
articles[10]{id,feed,title,flags,date}:
  3664,V2EX,[Java] 使用 kkRepo 搭建 Maven 私服,unread.star,"2026-06-25"
  ...
help[4]: Run `papr read <id>` to read an article's full text, ...

Hand it to your agent — one line

The bundled papr-rss skill loads on demand when an agent recognizes a feed-related task, so it costs nothing until you use it. Install it with skills:

npx skills add https://github.com/l0ng-ai/papr/tree/main/skills/papr-rss

Want the agent proactively aware of your feeds every conversation? papr setup wires up an ambient SessionStart hook (Claude Code, Codex, OpenCode).

Install the CLI

Platform How
macOS / Linux brew install l0ng-ai/papr/papr-cli
Windows Download papr-x86_64-pc-windows-msvc.zip, unzip, drop papr.exe on your PATH
Any Prebuilt papr-<target>.tar.gz from the latest release, or cargo build --release -p papr-cli

Full command reference, agent setup, and install options → docs/cli.md

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