Design Patterns of Agent Development

As AI agents move from simple prompt-response tools to systems capable of planning, using tools, and collaborating with other agents, a set of recurring architectural patterns has emerged to guide their design. These design patterns — reflection, planning, tool use, multi-agent collaboration, and memory management, among others — provide structured ways to make agent behavior more reliable, capable, and maintainable. This essay surveys the core design patterns used in modern agent development, explains the problem each pattern solves, and discusses how they are often combined in practice to build robust, production-grade agentic systems.

کلیدواژه ها:

AI agents ، agent design patterns ، agentic workflows ، large language models ، multi-agent systems ، tool use ، planning ، reflection