| layout | default |
|---|---|
| title | Mastra Tutorial |
| nav_order | 101 |
| has_children | true |
| format_version | v2 |
Learn how to build production AI applications with
mastra-ai/mastra, including agents, workflows, memory, MCP tooling, and reliability operations.
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
- repository:
mastra-ai/mastra - stars: about 22k
- latest release:
@mastra/core@1.10.0(published 2026-03-09)
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 | 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 |
- 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
Start with Chapter 1: Getting Started.
- Start Here: Chapter 1: Getting Started
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- Chapter 1: Getting Started
- Chapter 2: System Architecture
- Chapter 3: Agents and Tools
- Chapter 4: Workflows and Control Flow
- Chapter 5: Memory, RAG, and Context
- Chapter 6: MCP and Integration Patterns
- Chapter 7: Evals, Observability, and Quality
- Chapter 8: Production Deployment and Scaling
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