Part 5: Multi-Agent Orchestration

Name: AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems
Author: Wayland Zhang

From single Agent to multi-Agent: orchestration, coordination, collaboration

Chapter List

Chapter	Title	Core Question
13	Orchestration Fundamentals	How to coordinate multiple Agents working together?
14	DAG Workflows	How to handle task dependencies?
15	Supervisor Pattern	How to dynamically manage Agent teams?
16	Handoff Mechanism	How do Agents pass tasks and state to each other?

Learning Objectives

After completing this Part, you will be able to:

Design Orchestrator architectures
Implement DAG (Directed Acyclic Graph) workflows
Use the Supervisor pattern to manage dynamic Agents
Handle Handoffs and state passing between Agents

Shannon Code Guide

Shannon/
├── go/orchestrator/internal/workflows/
│   ├── orchestrator_router.go          # Routing decisions
│   ├── dag_workflow.go                 # DAG implementation
│   └── supervisor_workflow.go          # Supervisor pattern
└── docs/multi-agent-workflow-architecture.md

Core Architecture

Orchestrator Router
    ├── SimpleTask (complexity < 0.3)
    ├── DAG (general multi-step tasks)
    ├── React (tool-intensive)
    ├── Research (information synthesis)
    └── Supervisor (> 5 subtasks)

Prerequisites

Part 1-4 completed
Graph theory fundamentals (DAG, topological sorting)
Concurrent programming basics

@incollection{zhang2026aiagent_en_part5_overview, author = {Zhang, Wayland}, title = {Part 5: Multi-Agent Orchestration}, booktitle = {AI Agent Architecture: From Single Agent to Enterprise Multi-Agent Systems}, year = {2026}, url = {https://waylandz.com/ai-agent-book-en/part5-overview} }