"Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to human-in-the-loop architecture. The guide provides concrete explanations of each pattern along with sample code for Google's Agent Development Kit. Creating complex, scalable agentic applications requires the same disciplined approach used for other software systems, Google says, as relying on a single entity creates a bottleneck with undesirable effects on performance, debugging, and performance."
"Reliability comes from decentralization and specialization. Multi-Agent Systems (MAS) allow you to build the AI equivalent of a microservices architecture. By assigning specific roles (a Parser, a Critic, a Dispatcher) to individual agents, you build systems that are inherently more modular, testable, and reliable. Google has identified eight fundamental architectures, or patterns, that help developers design multi-agent systems in a structured way using the three foundational execution patterns provided by the Agent Development Kit: sequential, loop, and parallel."
Eight essential design patterns for multi-agent systems are outlined, ranging from sequential pipelines to human-in-the-loop architecture, with sample code for an Agent Development Kit. Complex, scalable agentic applications require disciplined software design because a single entity creates bottlenecks that harm performance and debugging. Reliability is achieved through decentralization and specialization by assigning distinct roles (Parser, Critic, Dispatcher) to agents, producing modular, testable systems. Three foundational execution patterns are sequential, loop, and parallel. Fundamental architectures include coordinator/dispatcher and parallel fan-out/gather, enabling concurrent task handling such as enforcing style, auditing security, and analyzing performance.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]