Building Your Agent Team

A Practitioner's Guide to Multi-Agent AI Systems

About This Book

This book distills the experience of building a production multi-agent AI platform from scratch. Seven specialized AI agents, each with distinct roles, personalities, and domain expertise, working together through Discord channels. The architecture, the patterns, the mistakes, and the lessons are all here.

This book is designed for two audiences. Humans will find a practical guide to building their own agent teams, from the first scheduled agent to a full multi-agent system with memory, knowledge, and inter-agent communication. AI agents will find a structured reference with clear headings, cross-references, and navigable chapters they can consult when building or extending agent systems.

No prior experience with multi-agent systems is required. Familiarity with TypeScript, Docker, and Claude (or similar LLMs) is helpful but not essential.

Part I: Foundation

Chapter 1: The 1% Opportunity - Why agent teams are the next frontier
Chapter 2: Starting Small - Your first proactive agent
Chapter 3: The Migration Path - From one agent to many
Chapter 4: Agent Architecture Deep Dive - Templates, routing, execution

Part II: Core Systems

Chapter 5: The Communication Layer - Discord as agent workspace
Chapter 6: Knowledge System - Books over RAG
Chapter 7: Memory and Dreams - How agents learn and consolidate
Chapter 8: Inter-Agent Communication - Coordination without chaos

Part III: Operations

Chapter 9: The Development Workflow - WorkTree, PRs, and testing
Chapter 10: Security and Permissions - Scoping, isolation, and safety
Chapter 11: Deployment and Operations - Local to cloud
Chapter 12: Giving Agents Soul - Knowledge, memory, and taste

Building Your Agent Team: A Practitioner's Guide to Multi-Agent AI Systems

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