Multi-Agent System
A multi-agent system (MAS) is an architecture where multiple autonomous AI agents collaborate, each specializing in different tasks, to collectively solve complex problems.
In Depth
Multi-agent systems bring the software engineering principle of separation of concerns to AI. Instead of one monolithic model handling everything, specialized agents divide the workload. A classifier agent determines the type of request, a retrieval agent fetches relevant knowledge, a reasoning agent formulates the solution, and a response agent crafts the customer-facing message.
This architecture offers significant advantages in customer support: each agent can be updated independently, failures are isolated to individual agents rather than the whole system, and new capabilities can be added by deploying new specialist agents. Multi-agent systems also enable complex workflows like processing a return while simultaneously issuing a replacement — two agents working in parallel on different aspects of the same customer request.
Related Terms
Multi-Agent Orchestration
Multi-agent orchestration is the coordination of multiple specialized AI agents working together to handle complex tasks, where each agent focuses on a specific domain or function.
AI Agent
An AI agent is an autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specific goals without continuous human intervention.
Agent Orchestration
Agent orchestration is the process of coordinating, sequencing, and managing the interactions between multiple AI agents to complete complex workflows efficiently.
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