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Concept

Multi-Agent Systems

Multi-agent systems are AI architectures where multiple specialized AI agents collaborate to solve complex problems, each handling different aspects of a workflow while sharing context and coordinating actions.

What Are Multi-Agent Systems?

Multi-agent systems (MAS) are AI architectures where multiple specialized agents work together — each responsible for a specific capability — coordinated by an orchestration layer that routes tasks, manages shared memory, and ensures coherent outcomes. This mirrors how human teams work: specialists collaborating under a manager.

How Do Businesses Use Multi-Agent Systems?

A real-world example: an e-commerce multi-agent system might include a customer service agent, an inventory management agent, a pricing optimization agent, and a marketing automation agent — all sharing customer data and coordinating responses. When a customer asks about a product, the service agent queries inventory, checks pricing, and provides personalized recommendations without any human intervention.

AffixedAI's Venture tier deploys multi-agent systems with 1,000+ pre-built modules that can be composed into custom agent teams for any business process. See our showcase for examples of deployed multi-agent architectures.

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