Monte is designed to play 2-player abstract games (think Chess or Go) and is designed to offer Unity developers simple to use MCTS Agent that they can used in their games. Monte also features a Reinforcement Learning model where developers can train a model to learn what a good state is and then this can be used by the MCTS to improve its performance.
Monte has a wiki at https://github.com/cring002/Monte/wiki This wiki has a getting started guide as well as documentation for every class.
To get the latest version of Monte see https://github.com/cring002/Monte/releases
If there are any other features or improvements you would like to see feel free to get in contact at @chardr27 on twitter or cring002.github.io and suggest them.