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behaviour_tree

v1.0.3

Published

A modular, type-safe Behaviour Tree library for building AI logic in TypeScript. Designed to provide a behaviour tree framework.

Readme

Behaviour tree

A lightweight, type-safe behaviour tree library for TypeScript. Perfect for building AI and decision-making systems with a fine level of human control.


🚀 Quick Start

Install the package using npm:

npm install behaviour_tree

Then create your first behaviour tree:

import { selector, sequence } from "behaviour_tree";

// state
interface Blackboard {
  energy: number;
  food: string[];
}

// nodes
const isHungry = async (blackboard: Blackboard) => blackboard.energy < 50;
const hasFood = async (blackboard: Blackboard) => blackboard.food.length > 0;
const eat = async (blackboard: Blackboard) => {
  blackboard.food = [];
  blackboard.energy = 100;

  return true;
};

export const tree = selector([
  sequence([isHungry, hasFood, eat]),
  // Add more sequences or nodes here
]);

// Run the tree
await tree({
  energy: 25,
  food: ["chicken", "rice"],
});

🧠 Core Concepts

  • Node:
    • Condition: Checks a state or condition.
    • Action: Performs a defined task or behaviour.
  • Composite Nodes:
    • Sequence: Runs children in order. Fails if any child fails.
    • Selector: Runs children in order. Succeeds if any child succeeds.
    • Parallel: Runs all children in parallel. Fails if any child fails.
  • Decorator Nodes:
    • Inverter: Reverses the result of its child (success becomes failure, and vice versa).

🔧 Features

  • 🕒 Async/Await Support – Works seamlessly with asynchronous logic.
  • TypeScript Typing – Fully typed for safer and more predictable code.
  • 🧩 Flexible Structure – Easily mix and match nodes or write your own.
  • ⚙️ Custom Nodes – Build your own decorators, composites, and leaves.

📦 Installation

Using npm:

npm install behaviour_tree

Using yarn:

yarn add behaviour_tree

Using pnpm:

pnpm install behaviour_tree

🛠️ Example Usage

import { inverter, Node, selector, sequence } from "behaviour_tree";

// state
interface Blackboard {
  energy: number;
  food: string[];
}

// condition
const isHungry: Node<Blackboard> = async (blackboard) => blackboard.energy < 50;

// action
const eat: Node<Blackboard> = async (blackboard) => {
  blackboard.food = [];
  blackboard.energy = 100;

  return true;
};

// sequence
const getEnergy = sequence([isHungry, eat]);

// selector
const routine = selector([
  getEnergy,
  sequence([
    // inverter
    inverter(isHungry),
    async (blackboard: Blackboard) => {
      blackboard.food = [...blackboard.food, "bananas"];

      return true;
    },
  ]),
]);

// Run the tree
await routine({
  energy: 25,
  food: ["chicken", "rice"],
});

📄 License

MIT License – free to use, modify, and distribute.


🔗 Get Involved

Visit the GitHub Repository to report issues, contribute, or join discussions.

Ported from Behaviour-Tree-Dart-.