AI Agent Knowledge Library

Foundations

Fundamental concepts behind AI agents: goals, autonomy, agent loops, state, environments, and the building blocks of agentic behavior.

3 Published resources

Explore: Reasoning & Planning Memory & Context Tools & Actions Multi-Agent Systems

Editor’s pick

Start with this guide

Nine labeled AI agent components arranged around a central agent core: model, instructions, tools, memory, state, planning, observation, guardrails, and execution loop.

Explainer Beginner

Anatomy of an AI Agent: The 9 Core Components

A beginner-friendly breakdown of the model, instructions, tools, memory, state, planning, feedback, guardrails, and execution loop inside an AI agent.

Knowledge library

Latest resources

3 published articles

Circular AI agent execution loop connecting Goal, Reason, Decide, Act, Observe, Update State, and Repeat around a goal-directed agent.

Explainer Beginner

How AI Agents Work: The Complete Execution Loop

Follow the seven-stage execution loop that lets an AI agent reason, choose actions, use tools, learn from results, and keep working toward a…

AI agent loop showing goal, reasoning, action, observation, and adaptation around a central intelligent system.

Explainer Beginner

What Is an AI Agent? A Practical Mental Model

A practical explanation of what makes an AI agent different from a chatbot or fixed workflow, and how the agent loop turns model…