{"repo":"mohd-faizy/Agentic_AI_using_LangGraph","free":true,"listed":false,"github":"https://github.com/mohd-faizy/Agentic_AI_using_LangGraph","clone":"git clone https://github.com/mohd-faizy/Agentic_AI_using_LangGraph.git","description":"Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.","language":"Jupyter Notebook","stars":48,"topics":["agentic-ai","agentic-rag","agentic-workflow","agents","langchain","langraph","langsmith","langsmith-tracing","rag","rag-chatbot"],"license":"MIT","category":"ai-agents","readme_excerpt":"Agentic AI with LangGraph Build autonomous, stateful, and goal-oriented AI systems capable of complex multi-step reasoning & real-world action. Quick Start · Notebooks · Architecture · Roadmap · Contributing --- What is This? A comprehensive, hands-on curriculum for mastering Agentic AI — from foundational concepts to production-grade multi-agent orchestration — all built on top of LangGraph. GenAI vs Agentic AI — Why Agents? Understanding the paradigm shift from passive generation to active reasoning: Dimension Generative AI Agentic AI :--- :--- :--- Execution Single-shot inference Multi-step iterative reasoning State Stateless / ephemeral context Persistent, structured memory Architecture Monolithic pipeline Modular multi-agent DAG Decision Making Prompt → Response Goal → Plan → Act → Observe → Reflect Tool Use Manual scripting Dynamic selection via MCP Error Handling None (fails silently) Self-correcting with retries & fallbacks Scalability Bound by context window Horizontal scaling via specialized agents Debuggability Opaque Transparent, traceable graph execution --- Architecture The system is built around these 7 modular, interoperable components : Component Details # Component Description :---: :--- :--- 1 Agents Autonomous entities with roles, memory, tools & objectives. Examples: PlannerAgent , ResearchAgent , ExecutionAgent 2 LangGraph State Machine Central orchestrator: stateful DAG with conditional routing, concurrency & retries 3 MCP Message Layer Structured messa","default_branch":null,"files":null,"tree":[],"storefront":"/r/mohd-faizy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/mohd-faizy/Agentic_AI_using_LangGraph/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}