Five core AI agent types, from reflex rules to learning systems
goyalshaliniuk · x · 2026-07-28
A simple visual guide breaks down five core AI agent types:
- Simple reflex agents: if-then logic, no memory, best for predictable environments.
- Model-based reflex agents: add memory and an internal state model, making them suitable for partially observable or sequential settings.
- Goal-based agents: plan actions toward a target outcome.
- Utility-based agents: choose actions by optimizing trade-offs, preferences, and satisfaction.
- Learning agents: improve from experience and feedback over time.
The infographic also lists shared building blocks across agents: sensors, actuators, decision logic, performance evaluation, and environment interaction.
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