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Beginner Tutorials

Welcome to the AgentFlow beginner tutorials! These hands-on guides take you from your first agent to building real, stateful applications.

Learning Path

Work through these tutorials in order:

1. Your First Agent (~15 minutes)

What you'll build: A weather assistant with a custom personality

You'll learn: - Creating agents with system prompts - Switching between LLM providers (OpenAI, Google Gemini) - Building and running a basic workflow

Start here if: You've completed the Hello World guide

2. Adding Tools (~20 minutes)

What you'll build: An agent that fetches real data and performs calculations

You'll learn: - Creating Python function tools - Connecting tools to agents with ToolNode - Conditional routing (tool call → tool execution → final answer)

Prerequisites: Tutorial 1

3. Chat with Memory (~25 minutes)

What you'll build: A chatbot that remembers conversations across multiple turns

You'll learn: - Using InMemoryCheckpointer for conversation memory - Managing multiple conversations with thread_id - Building an interactive chat loop

Prerequisites: Tutorial 2

What You'll Accomplish

By completing all three tutorials, you'll be able to:

  • Create agents with any LLM provider (OpenAI, Gemini, and more)
  • Give agents tools to perform real actions
  • Build chatbots with persistent conversation memory
  • Understand the core AgentFlow patterns used in every agent

Quick Setup Reminder

If you haven't set up AgentFlow yet:

  1. Installation — install AgentFlow and an LLM SDK
  2. Hello World — run your first agent
  3. Core Concepts — understand the building blocks

Then come back here and start with Tutorial 1!

After Beginner Tutorials

Once you complete these, explore:

Ready to start? Tutorial 1: Your First Agent →