Agentic Workflows: AI Agents, Memory, and Use Cases

AI Impact Summary

Agentic workflows represent a fundamental shift in how AI systems operate, moving beyond static prompts to adaptive systems driven by AI agents. These workflows combine AI agents with tool use and persistent memory, enabling them to learn, adapt, and execute complex tasks with minimal human intervention. The core components – reasoning, tool integration, and agent memory – are critical for creating dynamic and responsive systems, particularly when combined with iterative planning and reflection capabilities.