Agentic AI Systems
A curated, evolving guide to building production-ready AI agents and multi-agent systems, covering foundations, frameworks, system design patterns, real-world use cases and interview preparation.
Agentic-AI-Systems collects tutorials, example code and design references across six areas: generative AI and LLM foundations, framework tutorials for OpenAI, LangGraph, LlamaIndex, LangChain, CrewAI and Chainlit, agentic system design patterns and architectures, real-world use case projects, a resources list of courses and protocols, and interview preparation material for agentic system design.
Highlighted material includes an overview of reusable agentic design patterns, a current framing of harness engineering, long-running agents, AgentOps, context engineering, MCP and A2A protocols and cost-aware design, a survey of RAG architectures from basic to multi-modal and agentic RAG, and step-by-step examples of multi-agent systems built with LlamaIndex and CrewAI.