Using n8n to Develop Multi-Agent AI Systems

Darryl Jeffery

ISBN 13: 9798316910823

Published by Independently Published, 2025

About this Item

Seller Inventory # LU-9798316910823

Bibliographic Details

• Title: Using n8n to Develop Multi-Agent AI Systems
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798316910823
• Binding: Paperback
• Condition: New
• Weight: 236 grams

About this title

Synopsis

Book Title:
Using n8n to Develop Multi-Agent AI Systems: Enabling Scalable Orchestration, Real-Time Integration, and Automated Intelligence for Smarter Agent Collaboration

Book Description:

Unlock the full potential of AI-powered automation with this definitive guide to building intelligent, scalable, and collaborative multi-agent systems using n8n.

Whether you're a developer, technical lead, or innovation strategist, this hands-on book gives you step-by-step guidance to design, implement, and scale autonomous AI agents that solve complex problems and optimize real-world workflows. With practical examples, expert strategies, and deep insights, you’ll learn how to connect Large Language Models (LLMs) with real-time data sources, integrate APIs, and orchestrate intelligent behavior across decentralized agents using the powerful capabilities of n8n’s visual workflow platform.

From foundational concepts to advanced architectures like Retrieval-Augmented Generation (RAG), this book delivers a complete system for building next-generation AI solutions—combining cognitive frameworks, automation design, and seamless interoperability.

Inside, you'll learn how to:

• Build and deploy intelligent AI agents with n8n

• Architect multi-agent systems using RAG for dynamic reasoning and collaboration

• Design real-time workflows that integrate with APIs, databases, and cloud services

• Optimize business processes, scale automation, and achieve competitive advantage

• Create autonomous, LLM-powered systems capable of decision-making and task execution

• Leverage n8n to automate repetitive operations and unlock innovation at scale

• Apply best practices for agent communication, performance, monitoring, and error handling

• Future-proof your applications with modern agentic AI architectures

Whether you're automating enterprise workflows, building AI-native applications, or exploring LLM-based agent collaboration, this book provides the practical knowledge and frameworks to succeed. Grounded in real-world case studies and packed with reusable patterns, it’s a must-read for anyone serious about mastering multi-agent AI with n8n.

Make smarter decisions, build smarter systems, and lead the AI automation revolution—one agent at a time.