Introduction
While a single agent is powerful, giving one LLM too many tools and a complex goal often leads to confusion and failure. The solution is Multi-Agent Systems.
Specialization and Collaboration
Just like a human company is divided into specialized roles (Researcher, Writer, Quality Assurance), a Multi-Agent System breaks down a massive task and assigns different parts to distinct AI agents. Each agent has a specific persona, a narrow set of tools, and a clear goal. They collaborate, pass data between each other, and review each other's work.