Components

Understanding the Building Blocks of Agents

AI agents are modular systems composed of interconnected components that collectively enable intelligent behavior.

Key Functional Elements

Common components include language models for reasoning, memory systems for context retention, tool integrations for external actions, and evaluation layers that validate outputs. Together, these modules allow agents to perceive, decide, and act.

Modular Evolution

A component-based approach allows teams to upgrade individual capabilities without rebuilding entire systems. As new models and tools emerge, agent architectures can evolve incrementally, ensuring long-term adaptability.