Building Multi-Agent Teams with AutoGen: Deep Dive Part 2

Author(s): Aayushi_Sharma

Originally published on Towards AI.

🧠 What happens when a single AI agent isn’t enough to solve a problem?

In the first part of our AutoGen series, we explored the foundations of this powerful multi-agent framework — its architecture, agent communication, and tool integration. But that was just the tip of the iceberg.

This article dives deeper into AutoGen’s multi-agent framework by illustrating how agent coordination can enhance workflows. It introduces ‘AutoGen Teams’ and explains how two structures, RoundRobinGroupChat and SelectorGroupChat, can help organize agent conversations effectively, resembling a well-orchestrated symphony. The author also highlights the importance of clear roles and responsibilities among agents through practical examples, showing how team interactions can be structured for optimal performance, coordination, and efficiency.

Read the full blog for free on Medium.

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Published via Towards AI