Mastra Tutorial: TypeScript Framework for AI Agents and Workflows

Learn how to build production AI applications with mastra-ai/mastra, including agents, workflows, memory, MCP tooling, and reliability operations.

Why This Track Matters

Mastra is one of the strongest TypeScript-first frameworks for shipping AI agents beyond prototypes. It combines model routing, workflow control, memory systems, and production observability in one stack.

This track focuses on:

• agent and workflow architecture in TypeScript
• robust context, memory, and retrieval design
• MCP and ecosystem integration patterns
• evaluation and operations needed for reliable production launches

Current Snapshot (auto-updated)

• repository: mastra-ai/mastra
• stars: about 23.8k
• latest release: @mastra/core@1.32.0 (published 2026-05-06)

Mental Model

flowchart LR
    A[User Input] --> B[Mastra Agent Layer]
    B --> C[Workflow Orchestration]
    C --> D[Tools and Memory]
    D --> E[Evaluation and Observability]
    E --> F[Production AI Application]

Chapter Guide

Chapter	Key Question	Outcome
01 - Getting Started	How do I bootstrap a Mastra project quickly?	Working local baseline
02 - System Architecture	How are core Mastra components organized?	Strong architecture model
03 - Agents and Tools	How do I design capable and safe agents?	Practical agent patterns
04 - Workflows and Control Flow	When should I use workflows instead of free-form agents?	Better execution strategy
05 - Memory, RAG, and Context	How do I keep context useful over time?	Stable context architecture
06 - MCP and Integration Patterns	How does Mastra integrate with broader agent ecosystems?	Integration blueprint
07 - Evals, Observability, and Quality	How do I measure and improve reliability?	Continuous quality loop
08 - Production Deployment and Scaling	How do I run Mastra systems at production quality?	Deployment runbook baseline

What You Will Learn

• how to build and orchestrate Mastra agents and workflows
• how to design memory and retrieval strategies for long-lived systems
• how to integrate MCP capabilities and external toolchains
• how to evaluate, observe, and operate Mastra workloads in production

Source References

• Mastra Repository
• Mastra Releases
• Mastra Documentation
• Mastra MCP Docs

Related Tutorials

• Vercel AI Tutorial
• LangGraph Tutorial
• CrewAI Tutorial
• MCP Servers Tutorial

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Start with Chapter 1: Getting Started.

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Full Chapter Map

1. Chapter 1: Getting Started
2. Chapter 2: System Architecture
3. Chapter 3: Agents and Tools
4. Chapter 4: Workflows and Control Flow
5. Chapter 5: Memory, RAG, and Context
6. Chapter 6: MCP and Integration Patterns
7. Chapter 7: Evals, Observability, and Quality
8. Chapter 8: Production Deployment and Scaling

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