Getting Started with Mastra

Mastra is a powerful framework for building AI agents. In this experiment, I explored its core features and capabilities.

Overview

This experiment covers:

  • Setting up Mastra in a Next.js application
  • Creating custom agents
  • Integrating with external APIs
  • Best practices for production deployments
Prerequisites

You should have basic knowledge of TypeScript and Next.js before diving into this experiment.

Installation

First, install the required dependencies:

Bash
1pnpm add @mastra/core

Creating Your First Agent

Here's a simple example of creating an agent:

TypeScript
1import { Agent } from '@mastra/core';
2
3const myAgent = new Agent({
4  name: 'assistant',
5  instructions: 'You are a helpful assistant.',
6  model: {
7    provider: 'openai',
8    name: 'gpt-4',
9  },
10});

Key Learnings

Through this experiment, I learned:

  1. Architecture Design: Mastra provides a clean separation between agent logic and application code
  2. Flexibility: Easy to integrate with various LLM providers
  3. Production Ready: Built-in features for logging, error handling, and monitoring

Mastra simplified my agent development workflow significantly, reducing boilerplate code by ~60%.

Next Steps

  • Explore advanced agent patterns
  • Implement custom tools
  • Set up production monitoring

This is a placeholder experiment. Replace with your actual technical content.