Analyze Every Move. Find Every Pattern.
StoneBase is a desktop Go review tool powered by KataGo AI. See win rates and candidate moves for every position, explore variation trees, and search your game library by board position — all running privately on your machine.
Everything You Need to Improve
AI analysis, position search, and a full game library — professional tools for studying Go.
Game Library
Import, store, and organize your SGF game files. Upload single files, multiple files, or entire folders.
Interactive Go Board
Beautiful canvas-based board with stone placement, move markers, and variation preview on hover.
AI Analysis
KataGo evaluates every move with win rates, candidate moves, score estimates, and principal variations.
Move Tree Navigation
Visual move tree with branching variations. Add comments, annotations, and navigate freely.
Game Metadata
Track player names, ranks, events, komi, handicap, results, and dates for every game.
Game Search
Filter by player, date, event, ranks, komi, handicap, move count, board size, result type, and analysis status.
SGF Export
Download your games as standard SGF files, preserving all metadata and analysis.
Board Annotations
Mark positions with circles, squares, triangles, crosses, and text labels for study.
OGS Integration
Import games directly from the Online Go Server. Search by username and bring your full game history into StoneBase.
Board Appearance
Choose from six board themes and three stone styles. Kaya, Cherry, Night mode, Shell & Slate, and more.
English & Spanish
Full interface and game metadata in both languages. Switch anytime from the settings.
Private & Local
Your games and analysis stay on your machine. No cloud accounts, no uploads, no tracking. You own your data.
Go Further with Pro
Unlock advanced tools for serious study and large game collections.
Batch AI Analysis
Queue multiple games for background KataGo analysis with real-time progress tracking.
Position Search
Find games containing exact or similar board positions across your entire library.
Duplicate Detection
Automatically identify duplicate games via move sequence hashing and merge their analysis data.
Batch Export
Download multiple games at once as a ZIP archive with auto-generated filenames.
Unlimited Library
No cap on the number of games. Build a comprehensive library of thousands of games.
How It Works
Get from game to insight in three simple steps.
Import
Upload your SGF files — individually, in batches, or by folder. StoneBase parses and indexes every game automatically.
Analyze
KataGo evaluates every move — win rate, score lead, top candidate moves, and full principal variations.
Improve
Review your mistakes, explore better variations, and search for board positions across your entire library.
A Professional Review Environment
Built for serious Go study.
AI analysis with candidate moves, win rate graph, and move tree
Game library with advanced search and batch operations
Advanced search with filters for players, dates, rules, and analysis status
Duplicate game detection with smart merge and cleanup tools
Import games directly from the Online Go Server by username
Simple, Transparent Pricing
Start free. Upgrade when you need more power.
Free
Perfect for casual review
- Up to 50 games in library
- Single game AI analysis
- Advanced search & filters
- SGF import & export
- Board annotations
- Move tree navigation
- OGS game import
- Board & stone themes
Pro
For dedicated players
€99/year (billed annually)
- Unlimited games
- Batch AI analysis
- Position search (exact & similar)
- Duplicate detection & merge
- Batch ZIP export
- Use on up to 3 devices
- Everything in Free
Max
For players who want the strongest analysis
€199/year (billed annually)
- Cloud KataGo analysis (no local GPU needed)
- Stronger neural networks
- Faster analysis speed
- Priority support
- Use on up to 3 devices
- Everything in Pro
Just want unlimited games? — Supporter, €2.99/mo or €24/year
Lift the 50-game cap and help keep StoneBase free for everyone. No other Pro features — just unlimited library and a warm fuzzy feeling.