Welcome to the fourth installment of our OpenAgents AI series. So far, we’ve discussed the concept of AI agents and explored the architecture behind multi-agent systems. Now, it’s time to get hands-on. In this episode, we’ll guide you through building your first multi-agent system using OpenAgents AI. Whether you’re a seasoned developer or just starting your journey into AI, this walkthrough will help you unlock the potential of a collaborative agent-driven framework.

Why Start with OpenAgents AI?

OpenAgents AI is designed to lower the barriers to entry for multi-agent system development. It provides modular tools, intuitive workflows, and community-driven resources that make building and deploying intelligent agents accessible to everyone.

By the end of this tutorial, you’ll have a functioning multi-agent system that can handle basic tasks collaboratively, laying the foundation for more complex applications.

Task: Build a Mobile App with NativeScript

In the fast-paced world of app development, efficiency and adaptability are key. NativeScript is a powerful framework that enables developers to create cross-platform mobile applications using JavaScript, TypeScript, or Angular. Today, we’re diving into how OpenAgents AI can revolutionize the app development process by orchestrating multiple agents to build a mobile app with NativeScript.

This guide will take you through a step-by-step process to set up a multi-agent system that collaborates efficiently to create a robust, feature-rich app. We’ll also include snippets of logic code to demonstrate how it all comes together.

Why NativeScript?

NativeScript simplifies the creation of native iOS and Android apps using a single codebase. By pairing NativeScript’s capabilities with the multi-agent orchestration of OpenAgents AI, you can streamline workflows, reduce development time, and ensure consistent output across platforms.

Step 1: Setting Up Your Agents

We’ll need the following agents for this task:

1. Setup Agent: Handles environment setup and project initialization.

2. UI Agent: Designs the app's interface, converting descriptions into NativeScript XML.

3. Logic Agent: Implements app features like data management and API integrations.

4. Testing Agent: Ensures the app runs smoothly and is free of bugs.

5. Deployment Agent: Packages the app and submits it to the app stores.

Step 2: Orchestrating the Workflow

The multi-agent system works collaboratively, with each agent focusing on its specific role. Here’s how the workflow looks:

1. Setup Agent:

   - Initializes the project and installs necessary dependencies.
   - Example task:
   "Create a new NativeScript project named 'TaskManager' with TypeScript support."

   Code Example:

   tns create TaskManager --template @nativescript/template-blank-ts
   cd TaskManager
   npm install @nativescript/core
   

2. UI Agent:

   - Designs the user interface based on inputs.
   - Example task:
   "Build a home screen with a task list and a button to add new tasks."

   Code Example:

   <!-- home.component.xml -->
   <GridLayout>
       <ListView [items]="tasks">
           <ng-template let-task="item">
               <Label [text]="task.name"></Label>
           </ng-template>
       </ListView>
       <Button text="Add Task" (tap)="addTask()"></Button>
   </GridLayout>
   

3. Logic Agent:

   - Implements core functionalities like adding and managing tasks.
   - Example task:
   "Add functionality to store tasks locally using SQLite."

   Code Example:

   // home.component.ts
   import { Component } from '@angular/core';
   import { SQLite } from '@nativescript/sqlite';
   
   @Component({
       selector: 'Home',
       templateUrl: './home.component.html',
   })
   export class HomeComponent {
       tasks: Array<{ name: string }> = [];
       private database: SQLite;
   
       constructor() {
           (async () => {
               this.database = await new SQLite('taskmanager.db');
               await this.database.execSQL(
                   'CREATE TABLE IF NOT EXISTS tasks (id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT)'
               );
               this.loadTasks();
           })();
       }
   
       async loadTasks() {
           const rows = await this.database.all('SELECT * FROM tasks');
           this.tasks = rows.map((row) => ({ name: row[1] }));
       }
   
       async addTask() {
           const newTask = { name: 'New Task' }; // Replace with user input
           await this.database.execSQL('INSERT INTO tasks (name) VALUES (?)', [newTask.name]);
           this.tasks.push(newTask);
       }
   }
   

4. Testing Agent:

   - Validates functionality and ensures compatibility across platforms.
   - Example task:
   "Run end-to-end tests for adding and listing tasks."

   Code Example:

   describe('Task Manager', () => {
       it('should add a task successfully', async () => {
           await homeComponent.addTask('Sample Task');
           const tasks = await homeComponent.loadTasks();
           expect(tasks).toContainEqual({ name: 'Sample Task' });
       });
   });
   

5. Deployment Agent:

   - Prepares the app for release and submits it to the app stores.
   - Example task:
   "Package the app and deploy it to the Google Play Store."

   Code Example:

   tns build android --release --key-store-path my-release-key.keystore --key-store-password password --key-store-alias alias
   

Step 3: Real-Time Agent Collaboration

During development, agents work in sync:

• The Testing Agent identifies bugs and communicates them to the Logic Agent for resolution.

• The UI Agent ensures the interface adheres to the app's functionality defined by the Logic Agent.

• The Deployment Agent verifies the app's readiness based on inputs from the Testing Agent.

Step 4: Reviewing the Output

Once the workflow is complete, the system generates a report summarizing the app’s features, test results, and deployment status.

Conclusion

Building a mobile app with NativeScript has never been easier, thanks to OpenAgents AI’s multi-agent system. By automating repetitive tasks and enabling real-time collaboration, developers can focus on creating innovative features and delivering high-quality apps.

This episode highlighted how to bring multiple agents together to tackle a practical development task. Whether you’re working on personal projects or enterprise-grade solutions, OpenAgents AI provides the tools to streamline and scale your efforts.