Fluent Behaviour Tree

The chainable syntax reduces nesting and boilerplate, making behavior trees more readable and maintainable, as demonstrated in the builder pattern examples in the README.

Includes core behavior tree nodes like Sequence, Selector, Parallel, Condition, and Inverter, covering fundamental AI decision-making structures without unnecessary complexity.

Supports deep nesting and splicing of sub-trees, enabling modular AI design and component reuse, as shown in the splicing example that allows reusable sub-tree integration.

Provides a Tick method that accepts time delta data, allowing easy integration into standard game update cycles without additional setup.