AI Agent Architecture: 7 Components Structure Overview

AI agents have become one of the most widely discussed technologies in software development today.

Businesses across industries are adopting AI agents to automate workflows, augment decision-making, and deliver more responsive digital products. This, in turn, means more teams need a clear understanding of what actually makes an AI agent work under the hood. For those people we prepared this guide. Newcomers will find the material simple to understand, while advanced practitioners can benefit from the detailed breakdown of each architectural layer in the second part of the whitepaper.

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Overview.What's inside.

  • How AI Agent Systems Look and What Lies Behind the Term Agent Architecture
  • 7 components of an AI agent architecture
  • #1 Component: LLM / Reasoning Core
  • #2 Component: Tool & Function Calling
  • #3 Component: Memory & Context Management
  • #4 Component: Orchestration Layer
  • #5 Component: Guardrails & Safety
  • #6 Component: Data & Retrieval Layer
  • #7 Component: Monitoring & Observability

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