Behavior Tree & GOAP AI Decision Architecture

Headless AI decision engine with composite/decorator trees, GOAP A* planning & blackboard state. 114 tests passing.

Autonomous decision-making engine for indie game developers. Combines hierarchical Behavior Trees (Sequences, Selectors, Inverters, Repeats, Cooldowns) with Goal-Oriented Action Planning (GOAP) via A* search over symbolic world state. Built-in reactive Blackboard state management, sensory perception pipeline, and step-by-step debug logging.

• 114/114 Pytest Suite Passing
• Pure Python Standard Library
• Full CLI & Simulation Harness
• Commercial License Included