Architecture

Designing Reliable Agent Systems

Agent architecture defines how perception, reasoning, planning, and execution interact within an AI system. A well-designed architecture determines how effectively an agent can adapt, learn, and operate over time.

Core Structural Layers

Modern architectures typically include planning modules, execution environments, feedback mechanisms, and persistent memory. These components enable agents to evaluate progress, revise strategies, and maintain context across sessions.

Balancing Flexibility and Control

Architectural decisions influence scalability and predictability. Systems must allow adaptive reasoning while maintaining guardrails that prevent unintended actions or unstable behaviors.