Papr

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

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

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:

• Read — feeds, list, read, full-text search
• Triage — mark 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

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