Developer’s guide to multi-agent patterns in ADK

In the realm of AI application development, monolithic systems are being replaced by Multi-Agent Systems (MAS) to enhance scalability, reliability, and specialization, akin to the microservices architecture in software development. By decentralizing tasks among specialized agents with distinct roles, such as Parsers, Critics, and Dispatchers, these systems become more modular and testable, reducing bottlenecks and improving performance. The guide explores eight essential design patterns using the Google Agent Development Kit (ADK), including the Sequential Pipeline and Human-in-the-loop patterns, offering practical pseudocode examples for building robust, production-grade agent teams. These patterns, from straightforward sequential processing to complex human-involved decision-making, emphasize the importance of state management, clear role definitions, and starting with simple structures before increasing complexity, providing a comprehensive approach to creating effective AI systems.

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