← Back to CoursesAgentic AI: Intermediate

Neuroanatomy Explorer

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Memory Deck

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The Agent Loop in 3D

Watch a thought travel through Perceive → Plan → Act → Observe. Drag to rotate, scroll to zoom, click a node.

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Designing Agent Architectures

Manual: General · Subject: Agentic AI

Compare common architecture patterns and learn how to choose one for a specific use case.

Architecture Choices

Common Patterns

Many agent systems can be described as combinations of planner-executor loops, tool-augmented workflows, retrieval-augmented memory, and critique or review modules. The best architecture depends on task complexity, latency, risk, and cost.

Architecture Patterns

PatternBest For
Planner-executorLong tasks that need sequencing
Tool-augmented workflowTasks requiring external data or actions
Retrieval-augmented agentTasks needing relevant stored knowledge
Debate or critique loopTasks benefiting from review and error detection

Choosing the Right Design

Use the simplest design that can meet the requirement. Complexity should be added only when it improves reliability, speed, safety, or maintainability.

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Architecture Heuristic

If a task is repetitive and well-defined, favor structure. If it is uncertain and exploratory, favor stronger planning, memory, and verification.

Which architecture is best matched to tasks requiring repeated tool calls and step-by-step progress?

What is the main design principle when choosing agent architecture?

Simple vs Complex Systems

Simple System

  • Faster to build
  • Easier to test
  • May be less capable on long tasks

Complex System

  • More flexible
  • Can handle richer workflows
  • Harder to secure and debug

Which factor should most influence architecture choice?