Types of AI Agents

AI Agents come in different forms based on how they make decisions and interact with the environment. Here’s a quick comparison of common types:

Comparison Table

Agent Type	Think of it like...	How it Works	Best For	Complexity	Examples
Reactive	A thermostat	Input → Rule → Output	Simple, real-time tasks	⭐ Beginner	Chatbots, alarms
Deliberative	A chess master	Analyze → Plan → Execute	Complex decision-making	⭐⭐⭐ Advanced	Self-driving cars
Hybrid	A race car driver	Combine planning + reaction	Real-world environments	⭐⭐⭐⭐ Expert	Smart assistants
Learning	A student	Learn from experience	Adaptive behavior	⭐⭐⭐ Advanced	Recommendation engines
Multi-Agent	A project team	Agents collaborate	Distributed complex tasks	⭐⭐⭐⭐⭐ Expert	Supply chain systems

Start simple. Most beginners build Reactive or Hybrid agents first — then move toward multi-agent or learning-based systems once comfortable.