{"repo":"zkzkGamal/agentic-ai-engineering","free":true,"listed":false,"github":"https://github.com/zkzkGamal/agentic-ai-engineering","clone":"git clone https://github.com/zkzkGamal/agentic-ai-engineering.git","description":"Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.","language":"Jupyter Notebook","stars":32,"topics":["langchain","langgraph","agentic-ai","llm","mcp","mcp-client","mcp-server"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Agentic AI Engineering Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services. The repository leads toward the architecture implemented in Chapter 5 : a multi-node LangGraph assistant connected to a standalone MCP server, with intent routing, tool execution, response summarization, email tooling, math tools, automated tests, and GitHub Actions CI. Earlier chapters build the required layers underneath it: provider abstraction, LCEL orchestration, vector retrieval, memory, ReAct agents, router graphs, sequential workflows, multi-agent collaboration, and human-in-the-loop control. This is not a beginner chatbot walkthrough. It is a structured engineering path for developers building systems that need state, tools, routing, retrieval, observability, modularity, and model-provider flexibility. What You'll Build - Multi-node LangGraph assistant with router, execution, summarization, and conversation nodes. - MCP tool server exposing isolated math and email tools over a decoupled server boundary. - Tool-using ReAct workflows that call external capabilities through typed tool contracts. - RAG pipelines using vector stores, embeddings, retrieval chains, and local document context. - Provider-flexible LLM interfaces across OpenAI, Gemini, and Ollama. - Agent routing systems for sequential, router-based, ReAct, and multi-agent workflows. - Human-in-the-loop","default_branch":null,"files":null,"tree":[],"storefront":"/r/zkzkGamal","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zkzkGamal/agentic-ai-engineering/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."}