Copyright (c) 2026 MindMesh Academy. All rights reserved. This content is proprietary and may not be reproduced or distributed without permission.
4.5. Multi-Agent Orchestration Patterns
💡 First Principle: Multi-agent systems need coordination patterns, just like human teams. Sequential (assembly line): each agent completes their work before passing to the next—use when order matters and steps don't need iteration. Hierarchical (manager delegates): a supervisor agent assigns tasks and synthesizes results—use when subtasks are independent. Collaborative (group discussion): agents debate and refine together—use when quality improves through iteration. The exam tests whether you can match the task structure to the right orchestration pattern.
Orchestration Patterns
| Pattern | Description | Use Case |
|---|---|---|
| Sequential | Agents execute in fixed order | Pipeline workflows |
| Hierarchical | Manager delegates to specialized workers | Complex planning |
| Collaborative | Agents discuss and reach consensus | Research, analysis |
| Competitive | Agents propose solutions, best wins | Creative tasks |
The following diagram shows a hierarchical multi-agent pattern:
Framework Selection Decision Tree
Use this decision tree to select the appropriate agent framework:
Framework Comparison
| Capability | Azure OpenAI Assistants | Semantic Kernel | Autogen |
|---|---|---|---|
| Single agent | ✅ | ✅ | ✅ |
| Built-in tools | ✅ code_interpreter, file_search | ❌ (use plugins) | ✅ code execution |
| Custom tools | ✅ function calling | ✅ plugins | ✅ function registration |
| Multi-agent | ❌ | ⚠️ AgentGroupChat | ✅ Best support |
| Planners | ❌ | ✅ | ❌ |
| Memory/Context | ✅ threads | ✅ built-in | ⚠️ manual |
| Azure-native | ✅ | ✅ | ⚠️ |
| Enterprise-ready | ✅ | ✅ | ⚠️ |
When to Use Each Framework
| Scenario | Recommended Framework |
|---|---|
| Simple chatbot with tool use | Azure OpenAI Assistants |
| Enterprise app with Azure integration | Semantic Kernel |
| Complex multi-agent collaboration | Autogen |
| Research/coding tasks | Autogen (code execution) |
| Customer-facing applications | Semantic Kernel or Assistants |
Written byAlvin Varughese
Founder•15 professional certifications