Features
- TypeScript-native agent framework
- Workflow engine with step-based execution
- Built-in integrations and tool management
- Local development server for testing
Pros
- TypeScript-first design with strong typing
- Unified workflow and agent framework
- Good developer experience with local tooling
Cons
- Newer framework with smaller community
- Less mature than LangChain or LangGraph
- Integration ecosystem still growing
Overview
Mastra is a TypeScript-native framework for building AI agents and workflows. It provides a unified platform for defining agents with tools, building multi-step workflows, and integrating with external services, all with first-class TypeScript support.
The framework includes a workflow engine that supports step-based execution with conditions, loops, and parallel steps. Agents can use tools defined in TypeScript with full type safety, and the framework handles the tool calling loop automatically.
Mastra provides a local development server for testing agents and workflows interactively, along with observability features for understanding agent behavior during development.
When to Use
Choose Mastra when building AI agents and workflows in TypeScript and you want a purpose-built framework with strong typing. It is a good fit for TypeScript teams who find Python-centric frameworks like LangChain or CrewAI less ergonomic.
Getting Started
npm install mastraimport { Agent } from 'mastra'
const agent = new Agent({
name: 'assistant',
instructions: 'You are a helpful assistant',
model: { provider: 'ANTHROPIC', name: 'claude-sonnet-4-5-20250929' }
})
const response = await agent.generate('Hello!')