wtf is easyai?

EasyAI is a Python toolkit that lets you build two-player board games and either play them against a computer opponent or have the computer figure out the perfect strategy. It is designed for abstract games like Tic Tac Toe, Connect 4, or Reversi, turn-based games where both players can see the full board and there is no hidden information or random chance involved. To use it, you write a short Python class that defines the rules of your game: what moves are legal, how the board changes when a move is made, and how to tell when someone has won. Once the rules are set, you can start a match between a human and the AI. The AI looks ahead a certain number of moves, you choose how many, and picks what it calculates to be the best play. Under the hood, it uses a well-known strategy called Negamax with alpha-beta pruning, which is a standard approach for game-playing AI. You do not need to understand that algorithm to use the framework, you just tell it how deep to think. Beyond playing games, you can also "solve" a game entirely. This means the computer analyzes every possible sequence of moves and determines whether the first or second player can guarantee a win with perfect play, how long that win takes, and what the optimal opening move is. For simple games like a bone-counting example in the docs, this runs quickly, for more complex games it could take much longer. There is an optional speed-up feature called a transposition table that remembers positions it has already analyzed, so it does not recompute them. This project would appeal to hobbyists building game prototypes, teachers demonstrating AI concepts in a classroom, or anyone curious about how computers play games. The README does not go into detail about performance limits for larger or more complex games, so it is best suited for relatively simple, abstract games rather than anything as involved as chess.