What are agentic workflows?

Agentic workflows represent a significant evolution from traditional automation by introducing systems that are goal-directed and capable of observing, planning, acting, and adjusting in a continuous loop. Unlike the deterministic and often brittle rule-based scripts of traditional automation, agentic workflows empower agents to operate independently within defined boundaries, reason beyond simple input-output mappings, and use external tools and maintain context across interactions. Key components include setting goals and constraints, utilizing planners and policies, and integrating tools efficiently, while memory systems play a crucial role in recalling past interactions and optimizing retrieval efficiency. These workflows follow patterns such as the plan-act-observe loop, retrieval augmented generation, and memory writeback, with real-world applications spanning support operations, developer productivity, sales engineering, finance, security, and e-commerce. Infrastructure choices, especially those involving memory and caching solutions like Redis, are vital for handling the coordination, memory lookups, and retrieval demands of agentic systems, ensuring they operate smoothly and interactively.

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