kobanium/TamaGo
Computer go engine using Monte-Carlo Tree Search written in Python3.
TamaGo is a computer Go engine designed to play the board game Go (also known as Weiqi or Baduk). It takes Go board positions as input and outputs the optimal next move, helping players analyze games, practice, or challenge themselves against an AI. This tool is for Go players, enthusiasts, and researchers interested in game AI.
No commits in the last 6 months.
Use this if you want an AI to play Go against you or analyze Go positions using advanced techniques like Monte-Carlo Tree Search.
Not ideal if you're looking for a simple, lightweight Go engine for casual play without advanced AI capabilities or if you prefer a graphical user interface out-of-the-box.
Stars
71
Forks
12
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 02, 2025
Commits (30d)
0
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