The answer
Typically through a supervisor or orchestrator that captures output from one agent and passes it as context to the next.
Typically through a supervisor or orchestrator that captures output from one agent and passes it as context to the next.
They reduce instruction confusion, isolate tool access, and simulate division of labor, leading to more reliable execution.
Popular frameworks designed specifically to orchestrate, connect, and run multi-agent workflows.
Yes, because running multiple agents requires making sequential LLM calls, which increases response times.
Browse all our FAQs or reach out to our support team
Your learning library
Find your next course. Build something great.