A command-line tool for Paperzilla, an AI-powered scientific paper discovery platform. Browse your curated research feed, manage projects, and stay on top of new papers — all from the terminal.
brew install paperzilla-ai/tap/pzVia Scoop:
scoop bucket add paperzilla-ai https://github.com/paperzilla-ai/scoop-bucket
scoop install pzDownload the latest binary from GitHub Releases:
curl -sL https://github.com/paperzilla-ai/pz/releases/latest/download/pz_linux_amd64.tar.gz | tar xz
sudo mv pz /usr/local/bin/Requires Go 1.23+:
git clone https://github.com/paperzilla-ai/pz.git
cd pz
go build -o pz .
mv pz /usr/local/bin/Log in with your Paperzilla account:
pz loginList your projects:
pz project listBrowse your feed:
pz feed <project-id>Machine Learning Papers — 12 papers (total: 142)
★ Must Read A Novel Approach to Transformer Efficiency
Smith et al. · arxiv · 2025-08-01 · relevance: 92%
○ Related On the Convergence Properties of Diffusion Models
Chen et al. · arxiv · 2025-07-30 · relevance: 74%
Filter and export:
pz feed <project-id> --must-read --limit 5
pz feed <project-id> --since 2025-08-01
pz feed <project-id> --jsonGet an Atom feed URL you can add to any feed reader (Vienna RSS, NetNewsWire, Feedly, etc.):
pz feed <project-id> --atomThis prints a URL with an embedded feed token. Paste it into your feed reader to subscribe — no login required on the reader side. The token is per-user and the same URL is returned on repeated calls. Running --atom again after revoking will generate a new token.
| Variable | Description | Default |
|---|---|---|
PZ_API_URL |
API base URL | https://paperzilla.ai |
Full docs available at docs/.