Megumin AI BehaviorTree
Create complex AI quickly with this free, open-source behavior tree plugin designed for AAA and indie games.
Create complex AI quickly with this free, open-source behavior tree plugin designed for AAA and indie games.* This page contains affiliate links, meaning we may earn a small commission if you purchase something through them, at no extra cost. FREE
- Category:
- Tools › Behavior-ai
- Developer:
- Kumo
- Price:
- FREE
- Favorites:
- 23
- Supported Unity Versions:
- 2021.3.25 or higher
- Current Version:
- 1.3.1
- Download Size:
- 4.07 MB
- Last Update:
- Dec 2, 2024
- Description:
- The Megumin AI BehaviorTree plugin is a powerful tool for creating complex AI in games. Its intuitive user interface and decorator design make it easy to use and understand. The plugin is highly customizable, with a flexible data binding system and support for multiple windows in the editor. It also includes features such as subtree support, quick subtree splitting, and optimized code architecture. The plugin is built with a modular design and clear code, making it easy to extend and modify. It is suitable for both AAA and indie game developers who want to create complex AI quickly and efficiently.
Note: Make sure to back up your project before upgrading the plugin.
Key features:
* Decorator design for a more intuitive and easier-to-read user interface
* Easy to extend and customize with just a few lines of code
* Powerful data binding system
* Full subtree support
* Editor supports multiple windows
* Optimized code architecture
* Modular design with clear code
* Flexible parameter binding
* Quick subtree splitting for better decomposition and reuse of AI logic - Technical Details:
- The plugin is built using UIElement and has a complete C# codebase, with all code visible and no DLLs. The architecture is designed to be decoupled from the business logic for better scalability. The code is fully modular and has a clear architecture, making it easy to extend and modify. The plugin also includes features such as flexible parameter binding, allowing manual modification of the binding path, and quick subtree splitting for better decomposition and reuse of AI logic.
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