Multi-Agent Orchestration — When One AI Agent Isn't Enough

A single agent with tools is useful. A team of specialized agents? That’s the future. Multi-agent systems tackle complex tasks.

Why Multi-Agent¶

A single agent with 20 tools is overloaded. Instead: specialization. Researcher, Analyst, Writer, Reviewer — each does what they do best.

Frameworks¶

• CrewAI: Simplicity, setup in an hour
• AutoGen (Microsoft): Conversational approach, flexible
• LangGraph: State machine, most robust for production

Patterns¶

• Sequential pipeline: A → B → C
• Hierarchical: Manager delegates to workers
• Debate: Opposing perspectives, balanced output

Multi-Agent Is the Next Level¶

Start with CrewAI for prototypes, LangGraph for production. Key: clear roles, limited scope per agent.