Papr
A fast, native RSS reader — plus an agent-facing CLI so your AI agent can read, search and triage your feeds from the shell.
Install
npx skills add https://github.com/l0ng-ai/papr/tree/main/skills/papr-rssclaude mcp add papr -- npx skills add https://github.com/l0ng-ai/papr/tree/main/skills/papr-rss{
"mcpServers": {
"papr": {
"command": "npx",
"args": [
"skills",
"add",
"https://github.com/l0ng-ai/papr/tree/main/skills/papr-rss"
]
}
}
}Install command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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
| 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:
- Read —
feeds,list,read, full-textsearch - Triage —
markread/star/later,extractfull 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 |
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