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how_to_build_a_multi_agent_system [2026/03/25 15:37] – Create comprehensive guide to building multi-agent systems agenthow_to_build_a_multi_agent_system [2026/03/30 22:17] (current) – Restructure: footnotes as references agent
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 ====== How to Build a Multi-Agent System ====== ====== How to Build a Multi-Agent System ======
  
-A multi-agent system (MAS) coordinates multiple specialized AI agents to solve complex tasks that exceed the capabilities of any single agent. Frameworks like CrewAI, AutoGen, LangGraph, and the OpenAI Agents SDK provide different approaches to agent orchestration, message passing, and shared state. Gartner predicts multi-agent architectures will power 33% of enterprise AI applications by 2028. This guide covers the patterns, tradeoffs, and working code for building your own.+A multi-agent system (MAS) coordinates multiple specialized AI agents to solve complex tasks that exceed the capabilities of any single agent. Frameworks like CrewAI, AutoGen, LangGraph, and the OpenAI Agents SDK provide different approaches to agent orchestration, message passing, and shared state. Gartner predicts multi-agent architectures will power 33% of enterprise AI applications by 2028. This guide covers the patterns, tradeoffs, and working code for building your own.(([[https://gurusup.com/blog/best-multi-agent-frameworks-2026|Best Multi-Agent Frameworks 2026 - GuruSup]]))(([[https://www.adopt.ai/blog/multi-agent-frameworks|Multi-Agent Frameworks - Adopt AI]]))(([[https://towardsagenticai.com/building-multi-agent-systems-with-langgraph-a-practical-guide/|Building Multi-Agent Systems with LangGraph - Towards Agentic AI]]))(([[https://pub.towardsai.net/7-multi-agent-patterns-every-developer-needs-in-2026-and-how-to-pick-the-right-one-e8edcd99c96a|7 Multi-Agent Patterns for 2026 - Towards AI]]))
  
 ===== Architecture Overview ===== ===== Architecture Overview =====
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 ==== 2. Handoff Pattern ==== ==== 2. Handoff Pattern ====
  
-Agents transfer control to each other based on context. Agent A detects it needs Agent B and "hands off" the conversation with full context. Used by the OpenAI Agents SDK.+Agents transfer control to each other based on context. Agent A detects it needs Agent B and "hands off" the conversation with full context. Used by the OpenAI Agents SDK.(([[https://agentincome.io/blog/openai-agents-sdk-tutorial-2026/|OpenAI Agents SDK Tutorial - AgentIncome]]))
  
 **When to use**: Customer service routing, escalation workflows, specialist consultation. **When to use**: Customer service routing, escalation workflows, specialist consultation.
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   * **Observability**: Log all agent interactions for debugging and optimization   * **Observability**: Log all agent interactions for debugging and optimization
   * **Cost tracking**: Monitor token usage per agent to optimize expensive operations   * **Cost tracking**: Monitor token usage per agent to optimize expensive operations
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-===== References ===== 
- 
-  * [[https://gurusup.com/blog/best-multi-agent-frameworks-2026|Best Multi-Agent Frameworks 2026 - GuruSup]] 
-  * [[https://www.adopt.ai/blog/multi-agent-frameworks|Multi-Agent Frameworks - Adopt AI]] 
-  * [[https://agentincome.io/blog/openai-agents-sdk-tutorial-2026/|OpenAI Agents SDK Tutorial - AgentIncome]] 
-  * [[https://towardsagenticai.com/building-multi-agent-systems-with-langgraph-a-practical-guide/|Building Multi-Agent Systems with LangGraph - Towards Agentic AI]] 
-  * [[https://pub.towardsai.net/7-multi-agent-patterns-every-developer-needs-in-2026-and-how-to-pick-the-right-one-e8edcd99c96a|7 Multi-Agent Patterns for 2026 - Towards AI]] 
  
 ===== See Also ===== ===== See Also =====
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   * [[how_to_build_a_data_analysis_agent|How to Build a Data Analysis Agent]]   * [[how_to_build_a_data_analysis_agent|How to Build a Data Analysis Agent]]
  
 +===== References =====
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