Agentic Workflow
An AI system that autonomously plans, executes, and iterates on multi-step tasks using tools and reasoning.
Overview
An agentic workflow is an AI architecture where a language model autonomously plans, executes, and iterates on complex tasks rather than generating a single response. The agent breaks down a high-level goal into sub-tasks, uses tools (search, code execution, APIs), evaluates results, and adapts its approach based on outcomes.
Key Details
Key components include a planning/reasoning loop, tool integration (function calling), memory (conversation history and persistent state), and evaluation (checking if goals are met). Frameworks like LangGraph, CrewAI, and AutoGen facilitate building agentic systems. Agentic workflows enable AI to handle tasks like software development, research, data analysis, and customer support that require multiple steps and adaptation. The reliability and safety of autonomous agents remain active areas of research.