Core Concepts

Master the fundamental building blocks of AI agent development. Each concept builds on the last — start with the basics and work your way up.

Understanding autonomous AI systems that perceive, reason, plan, and act to achieve goals.

How agents interact with external tools, APIs, and services to take action in the real world.

Short-term, long-term, and episodic memory architectures that give agents persistent knowledge.

Chain of Thought, ReAct, Tree of Thought, and other reasoning strategies agents use to solve problems.

Coordinating multiple AI agents to collaborate, delegate, and solve complex problems together.

The open standard that lets LLM applications seamlessly connect to any external data source or tool.

Retrieval-augmented generation and its evolution into agentic systems with hierarchical retrieval.