BomberManAI is an AI agent designed to play the classic Bomberman game autonomously. Developed in Python, it interfaces with a game environment to perceive map states, available moves, and opponent positions in real time. The core algorithm combines A* pathfinding, breadth-first search for reachability analysis, and a heuristic evaluation function to determine optimal bomb placement and evasion strategies. The agent handles dynamic obstacles, power-ups, and multiple opponents on various map layouts. Its modular architecture enables developers to experiment with custom heuristics, reinforcement learning modules, or alternative decision-making strategies. Ideal for game AI researchers, students, and competitive bot developers, BomberManAI provides a flexible framework for testing and improving autonomous gaming agents.