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Building AI Agents with Mastra and TypeScript: A Practical Guide to Agentic Workflows, RAG, and Production AI Applications
Paperback
Publisher: Independently Published
Published: Aug 16 2026
Pages: 252
Weight: 0.98
Height: 0.53 Width: 7.00 Depth: 10.00
Language: English
Building an AI chatbot is easy. Building an AI application that can use tools, remember context, retrieve reliable information, follow workflows, recover from failures, and operate safely in production is much harder.
Building AI Agents with Mastra and TypeScript shows you how to make that transition step by step.
You do not need previous experience with Mastra, autonomous agents, RAG systems, or multi-agent architectures. If you have basic familiarity with TypeScript or JavaScript and Node.js, this practical guide will help you build confidence as each concept is introduced gradually and applied to a growing real-world project.
Instead of overwhelming you with theory or giant code dumps, the book breaks production AI engineering into manageable stages. You will build agents, connect safe tools, add structured outputs and persistent memory, create production-ready RAG pipelines, design durable workflows with human approval, integrate MCP services, coordinate specialized agents, evaluate behavior, strengthen security, and prepare your application for deployment and scale.
Mistakes, failed tool calls, weak retrieval results, and unexpected model outputs are treated as part of the learning process. Each chapter helps you understand what went wrong, improve the system, and move forward with greater confidence.
Key FeaturesPractical, step-by-step Mastra and TypeScript implementation
One progressively developed production-oriented AI application
Typed tools, structured outputs, memory, RAG, MCP, and multi-agent orchestration
Testing, evaluation, observability, security, deployment, and cost control
Practical exercises and production-readiness guidance
Build and configure reliable AI agents with Mastra
Create typed tools for APIs, databases, and business services
Manage memory, persistent state, and user isolation
Build secure RAG systems with embeddings, vector search, filtering, reranking, and source attribution
Design agentic workflows with branching, retries, suspension, and human approval
Connect external capabilities through Model Context Protocol (MCP)
Build supervisor and specialist-agent architectures
Test, evaluate, observe, secure, deploy, scale, and optimize production AI applications
Developers new to Mastra and agentic AI; TypeScript or JavaScript programmers exploring LLM application engineering; and self-learners who want a practical path from basic AI agents to dependable production systems.
Table of ContentsMastra Foundations and Project Setup
Engineering Reliable AI Agents
Building Safe and Reusable Tools
Memory, State, and Persistent Context
Building Production RAG Systems
Agentic Workflows and Durable Execution
MCP and Full-Stack Application Integration
Multi-Agent Systems and Orchestration
Testing, Evaluation, Observability, and Security
Deployment, Scaling, and Production Optimization
Move beyond AI demos and start building software you can understand, test, secure, and trust. Begin your production AI engineering journey with Mastra and TypeScript today.
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