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Multi-Agent Systems

AI architecture where dozens of specialized agents collaborate on tasks — each with unique competencies and roles.

What are multi-agent systems?

A multi-agent system (MAS) is an architecture where multiple autonomous AI agents collaborate to solve problems too complex for a single model. Each agent has specialized skills — e.g., data analysis, code writing, or project management.

Why multiple agents instead of one?

A single LLM is a "generalist" — it can do many things but nothing perfectly. Multi-agent systems work like a team of specialists: the financial agent handles budgets, the legal agent verifies compliance, the technical agent writes code. They communicate, share context, and escalate issues.

Enterprise applications

In enterprises, multi-agent systems automate processes requiring cross-domain knowledge: customer service, document management, compliance audits, and even software development with full testing cycles.