AI Agents

Learn how AI agents think and act

Understand the ReAct framework that powers AI agents. Interactive visualization shows Thought-Action-Observation loops in real-time.

Function Calling

Giving LLMs abilities

Master function calling to give LLMs abilities: databases, APIs, calculations. Learn JSON schemas, parallel calls, and error handling with real examples.

Tool Impact

More tools = different behavior

See how available tools influence agent behavior

Agent Memory

Short-term, Long-term, RAG

Learn how agents remember and use information

Multi-Agent Systems

Team of AI agents

See how multiple agents work together

Planning & Decomposition

Break down complex tasks

Learn how agents plan and decompose tasks into subtasks

Agent Architectures

MRKL, Reflexion, LATS

Explore different agent architectures and their trade-offs

Building AI Agents

From scratch with code

Learn how to build AI agents from scratch with practical code examples

LangChain & LlamaIndex

LLM Application Frameworks

Build powerful LLM applications using LangChain and LlamaIndex frameworks