KaibanJS

Quick Start

1. Run the KaibanJS initializer in your project directory:

npx kaibanjs@latest init

1. Add your AI service API key to the .env file:

VITE_OPENAI_API_KEY=your-api-key-here

1. Restart your Kaiban Board:

npm run kaiban

Manual Installation

1. Install KaibanJS via npm:

npm install kaibanjs

1. Import KaibanJS in your JavaScript file:

// Using ES6 import syntax for NextJS, React, etc.
import { Agent, Task, Team } from 'kaibanjs';

// Using CommonJS syntax for NodeJS
const { Agent, Task, Team } = require('kaibanjs');

// Define an agent
const researchAgent = new Agent({
  name: 'Researcher',
  role: 'Information Gatherer',
  goal: 'Find relevant information on a given topic',
});

// Create a task
const researchTask = new Task({
  description: 'Research recent AI developments',
  agent: researchAgent,
});

// Set up a team
const team = new Team({
  name: 'AI Research Team',
  agents: [researchAgent],
  tasks: [researchTask],
  env: { OPENAI_API_KEY: 'your-api-key-here' },
});

// Start the workflow
team
  .start()
  .then((output) => {
    console.log('Workflow completed:', output.result);
  })
  .catch((error) => {
    console.error('Workflow error:', error);
  });