wst-library 0.2.3

CLI tool for organizing books and PDFs with AI-powered metadata

wst — Wan Shi Tong

"I am Wan Shi Tong, he who knows ten thousand things."

_{Character from Avatar: The Last Airbender. Avatar: The Last Airbender is a trademark of Viacom International Inc. Image used for illustrative purposes only.}

---

CLI tool for organizing books and PDFs with AI-powered metadata generation.

Named after Wan Shi Tong, the ancient spirit who collected every piece of knowledge in the world and guarded the great library in the desert. This tool aspires to do the same for your PDFs — just with less hostility toward humans.

Features

• AI-powered metadata: Automatically extracts and completes metadata (title, author, type, year, summary, tags, etc.) using Claude CLI with web search for missing fields (year, ISBN, publisher)
• Organized library: Files sorted by type (books/, papers/, notes/, exercises/, guides/) with consistent naming (Author - Title (Year).pdf)
• SQLite search index: Full-text search across title, author, tags, subject, and summary via FTS5
• Interactive browser: Fuzzy-search your library, view and edit metadata interactively
• Cloud backup: Backup files to iCloud Drive (macOS/Windows), with extensible provider system for future S3 support
• Extensible backends: Abstract layers for AI (Claude CLI, future API/SDK) and storage (local filesystem, future S3)

Installation

pipx (recommended, all platforms)

pipx install wst-library

pip

pip install wst-library

Homebrew (macOS/Linux)

brew tap cnexans/tap
brew install wst

Chocolatey (Windows)

choco install wst

From source

git clone https://github.com/cnexans/wst.git
cd wst
make install

Quick Start

# Ingest PDFs from a folder
wst ingest ~/Documents/papers/

# Ingest from current directory
wst ingest .

# Ingest from default inbox (~/wst/inbox/)
wst ingest

# Ingest with manual confirmation for each file
wst ingest --confirm

# Re-ingest files with fresh AI metadata (e.g. after enabling web search)
wst ingest --reprocess

# Search
wst search "machine learning"
wst search --author "Knuth"
wst search --type textbook
wst search --subject "Mathematics"

# List all documents
wst list
wst list --type paper --sort year

# Show full details
wst show 1
wst show "Design Patterns"

# Interactive browser — fuzzy search, view and edit metadata
wst browse

# Edit a specific document
wst edit 1
wst edit "Player's Handbook"

# Backup to iCloud
wst backup icloud                    # interactive: all or select file
wst backup icloud 1                  # backup specific file by ID
wst backup icloud "Player's Handbook" # backup by title
wst backup                           # interactive: choose provider

Commands

Command	Description
wst ingest [PATH] [--confirm] [--reprocess]	Ingest PDFs from a path or the inbox, generate metadata with AI
wst search <query> [--author] [--type] [--subject]	Full-text search across the index
wst list [--type] [--sort]	List all documents in the library
wst show <id-or-title>	Show complete metadata for a document
wst edit <id-or-title>	Interactively edit metadata for a document
wst browse	Interactive TUI for browsing and editing documents
wst backup [provider] [id-or-title]	Backup files to a cloud provider (iCloud, future S3)

Library Structure

~/wst/
├── inbox/           # PDFs pending ingestion
└── library/
    ├── books/       # book, novel, textbook
    ├── papers/      # paper
    ├── notes/       # class-notes
    ├── exercises/   # exercises
    ├── guides/      # guide-theory, guide-practice
    └── wst.db       # SQLite index

Documentation

See docs/README.md for architecture details and diagrams.

Requirements

• Python 3.11+
• claude CLI (authenticated) for AI metadata generation
• macOS, Windows, or Linux

License

MIT with Commons Clause — free to use, modify, and distribute. Commercial sale rights reserved to the author. See LICENSE.