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Build a CrewAI Clone where a single prompt generates a complete multi-agent system visualized with React Flow. In this full course, you’ll use Next.js 16, React, TypeScript, LangGraph, LangChain, RAG, and WebSockets to design, orchestrate, and run real-time AI agent workflows from scratch. Source Code Code : https://www.patreon.com/posts/crewai-clone-to-155156256?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link LangChain MCP-Server FullCourse:https://youtu.be/tbzSmR7RHrI Excalindraw : https://github.com/Bienfait-ijambo/agent-builder-skill Raw-Agent-Builder Skill : https://github.com/Bienfait-ijambo/agent-builder-skill Prompt Master Skill : https://github.com/nidhinjs/prompt-master.git LangChain Full-Course : https://youtu.be/nqgAJ3f7ho8 Manus AI Clone : https://youtu.be/j6YGNbH0px8 Learn Multi-Vector Retriever : https://youtu.be/E9aQfzy_2Xg Learn Advance RAG : https://youtu.be/5y6QLMuo67A JOIN THE AI HERO COURSE ⭐🌟✨ Join here : https://forms.gle/1B1tKJ4CzgjnBXFY6 Collaboration Email me : bienfait201@gmail.com Course Features - Prompt To Agent (or Text to Agent) Example You Ask AI : Build me a Customer Support Agent AI : Ask you for clarification then Build an entire agent for you without Taking any Action. Even though you dont know prompt Engineering Agent will do everything for you. - Human in Loop - Multi-Agent System - Hand Off Pattern - LTM Memory & STM - Context Engineering - HyBrid Retriever - Parent Document Retriever - Multi-Vector Retriever - Prompt Engineering - DeepAgent - Trainning Agent Via FeedBack Loop - Skills - React-flow TechStack : Next.js 16,React-Flow, LangChain, LangGraph, RAG, Vector DB, RAG, Better Auth, TimesCode 0:00 - Introduction 6:00 - Installing Nextjs & Layout Creation 10:46 - Authentication with Better Auth & Google 26:54 - Create Workflow Page 31:26 - Project API 1:06:38 - Streaming Agent Message 1:58:32 - Memory Design LongTerm and ShortTerm 3:27:30 - React-flow 4:03:08 - Agent Tree 4:50:48 - Build the Agent Builder 5:26:49 - Agent Collaboration 5:26:49 - Agent Collaboration 6:08:14 - Agent Skills & Training Agent Builder 8:08:54 - save_agent_tree Tool & Websocket