Agentic AI Systems AI Agent

Agentic AI Systems

A comprehensive guide to building production-ready AI agents and multi-agent systems

Welcome to Agentic-AI-Systems a curated and evolving knowledge base and hands-on guide for learning about Agents, Agentic AI system design, and building production-ready AI agents and multi-agent systems. This repository is a collection of resources and examples that I have found useful in my journey of building agentic AI systems.

<img src="./assets/covers/cover-03.png" alt="Agentic-AI-Systems" width="50%">

Contents

Chapter	Description
1. Foundations	GenAI concepts and design, LLMs, evaluation, modern Python, and more.
2. Frameworks	Tutorials and example codes for OpenAI, LangGraph, LlamaIndex, LangChain, CrewAI, Chainlit, and more.
3. Agentic System Design	Agentic AI System Design: Architectures, layers, design patterns, diagrams, and code.
4. Use Cases	Real-world and example agent projects and applications.
5. Resources	Courses, tool stacks, protocols, and list of resources.
6. Interview Prep	GenAI and agentic system design interview frameworks, prompts, and practice templates.

Highlights

Agentic AI Systems

• Agentic AI Design Patterns: A comprehensive overview of reusable design patterns in Gen-AI and agentic AI systems.
• 2026 Agentic AI System Design Update: Current framing for harness engineering, long-running agents, AgentOps, context engineering, MCP/A2A, security, and cost-aware design.
• RAGs: A comprehensive overview of RAG architectures, including basic RAGs, agentic RAGs, multi-modal RAGs, and advanced RAGs.
• Cookbooks: A comprehensive overview of the most useful cookbooks in designing and building agentic AI systems.
• OpenAI Agents: Comprehensive guides, tutorials, and code examples for building AI agents using the OpenAI API and Agents SDK.
• Architectures: A comprehensive overview of architectures in agentic AI systems, inlcuding architecture layers, AI-native architectures, step-by-step system design, and example architectures used by tech companies.
• Agentic AI Evaluation: A comprehensive overview of evaluating Agentic AI Systems, including evaluation layers, dimensions, methods, and frameworks.
• Code Examples: Step-by-step guides, example codes, and tutorials for building agentic workflows with Open AI agents, LangGraph, LangChain, CrewAI, LlamaIndex, and more.
• Multi-Agent Systems Examples: Building multi-agent systems using LlamaIndex, Crew AI, and more.

<!-- - **[Real-World Use Cases](./04_use_cases/README.md):** Example projects and applications of agentic AI in production. -->

• Resource Library: Curated list of courses, tools, protocols, and further reading.

Compund Gen-AI Systems

• AI Engineering Book Summary: GenAI system workflows and infrastructure.
• Gen-AI Systems Overview: Platform architecture and technical breakdowns.
• Gen-AI Evaluation Methods: Score-based evaluation methods and tools.

<!-- ## Frameworks & Tutorials - **OpenAI SDK:** [Overview](./02_frameworks/1_openai/openai_agents/), [Design Guide](./02_frameworks/1_openai_agents/docs/openai-agents-design-guide.md), [Starter Code](./02_frameworks/1_openai_agents/code/) - **LangGraph:** [Docs](./02_frameworks/3_langgraph/docs/), [Code](./02_frameworks/3_langgraph/code/) - **LlamaIndex:** [Multi-Agent Systems](./02_frameworks/4_llamaindex/docs/llama-index-multi-agent.md) - **LangChain, CrewAI, Chainlit:** Each with their own docs and code samples. -->

Why Agentic-AI-Systems?

• Practical: Real code, real projects, real-world patterns
• Curated: Only the most useful frameworks, tools, and concepts
• Reference-first: Designed for quick lookup and deep dives
• Production-ready: Tested examples with deployment guides
• Community-driven: Continuously updated with latest best practices

Contributing

More coming soon contributions welcome! You can start by forking and submitting your own code-based experiments.

Pull requests are welcome! If you'd like to add new frameworks, examples, or summaries, fork the repo and submit a PR.

Made with love by Alireza Dirafzoon.