lightvector/KataGo

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5204 stars · 778 forks observed · 2026-10-20

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

KataGo is an open-source Go (baduk) engine trained via AlphaZero-like self-play, one of the strongest Go bots available. It runs as a GTP engine and analysis engine, with support for GPU backends like CUDA, TensorRT, OpenCL, ROCm, ONNX, and Eigen.

Use cases

• play Go against a strong AI bot
• analyze my Go game records and get win-rate evaluations
• train a Go AI from scratch with self-play
• run a GTP engine with a Go GUI like Sabaki or Lizzie
• contribute GPU compute to a distributed Go training run
• research faster AlphaZero-style self-play training methods

When to choose

• you need a top-strength open-source Go engine for play or analysis
• you want to study or extend self-play neural net training for board games
• you need handicap play, score prediction, and multiple board sizes and rulesets in one engine

When to avoid

• you need an engine for chess, shogi, or other games (use Stockfish or Leela variants)
• you have no GPU and need maximum playing strength
• you want a graphical interface out of the box - KataGo is a backend engine

Facets

application · maturity active

machine-learning deep-learning llm-training simulation game-engine artificial-intelligence machine-learning deep-learning gpu-computing cpp windows cli go-game gtp-engine self-play-training alphazero board-games neural-network mcts distributed-training game-development linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="lightvector/KataGo")