For players who want to understand the game

Turn every Go game into a study plan.

TensuGo puts your board, local KataGo analysis, variations, and review notes in one focused workspace—so you can see what changed, why it mattered, and what to practice next.

Local-first by default. Your games stay on your machine.

Now available: TensuGo V0.7.25. A major update for deeper review, engine setup, and study workflows.

TensuGo desktop app showing a Go board, game tree, and KataGo candidate move analysis.
The board is the starting point. The review is the product.

The problem

AI can find a better move. It rarely helps you remember why.

Most review tools stop at a score or a cloud variation. TensuGo keeps the whole argument together: the position, the alternatives, the turning point, and your own explanation. That makes one game useful long after the engine stops running.

Features

Built around review, not around engine knobs.

SGF and variation trees

Import games while preserving branch structure, then promote, remove, and return to variations without flattening your study.

Local KataGo analysis

Run KataGo locally and inspect candidate moves, win rate, score lead, visits, and PV without uploading your games.

Candidates and trends

Candidate bubbles, move tables, and win-rate trends stay in sync so you can spot turning points and direction mistakes quickly.

Research notes

Collect board diagrams, candidate lines, and written commentary into review material for study, teaching, and archiving.

Four interface languages

Switch the Desktop App interface in Settings between English, 简体中文, 日本語, and 한국어.

Workflow

From one game to a readable review.

  1. Import

    Open an SGF and jump into any main-line or variation position.

  2. Analyze

    Start local KataGo and compare candidate moves with AI principal variations.

  3. Study

    Keep useful branches and compare score lead, win rate, and direction.

  4. Write

    Turn key positions and commentary into structured review notes.

Download

Start with Windows or macOS.

Windows x64 is the recommended path for most users and includes a built-in KataGo OpenCL engine. The macOS Apple Silicon build stays lightweight and expects KataGo to be installed separately.

macOS Apple Silicon (M-series)

Does not include a built-in engine. Install KataGo with Homebrew: brew install katago

After installing TensuGo, open Settings > Engine, then use Auto Detect. TensuGo will detect and configure the engine automatically. You can also download and configure the engine manually from the same panel.

Download macOS DMG

Release history

Release history

V0.7.25Latest

Improved SGF review, variations, dingshi (joseki) and problem study; added pass and handicap support; refined KataGo configuration, human-style engine support, charts, language handling, and Windows/macOS packaging.

V0.6.x

Expanded local KataGo analysis, human-engine configuration, win-rate and score-difference views, download infrastructure, and review tools.

V0.5.x

Established the local-first SGF review workspace with variation trees, candidate analysis, research notes, and Windows/macOS distribution.