This repository is a complete, step-by-step book for learning Agno —
from absolute beginner to production-ready systems.
✨ Learn how to build, extend, and deploy AI agents with Python, using tools, knowledge bases, memory, teams, workflows, and AgentOS.
- Clone or download this repo.
- Open the chapters in order (Markdown files).
- Follow the examples — each chapter contains ready-to-run code.
💡 Tip: Create a Python virtual environment before running examples.
| # | Chapter | Description |
|---|---|---|
| 1 | Part I — Introduction & Quickstart | Install Agno, set up keys, run your first agent |
| 2 | Part II — Core Concepts | Deep dive into Agents, Tools, RAG, Memory, Teams, Workflows |
| 3 | Part III — Production & Advanced | AgentOS, security, monitoring, scaling, resilience |
| 4 | Part IV — Examples & Projects | End-to-end examples: Support bot, e-commerce, research, multilingual |
| 5 | Part V — Best Practices & Glossary | Checklists, performance tips, security, glossary |
- Python 3.12+
- Internet connection for API-based models
- (Optional) Docker for production deployment
This book was generated from a synthesis of the Agno documentation and practical examples.
It’s intended for developers who want to master Agno and build AI-powered systems.
If you find this guide useful, ⭐ star the repo and share it with others.
Happy hacking with Agno! 🚀