agent-craft and Agentic_AI_using_LangGraph
These are ecosystem siblings—one is a comprehensive educational repository demonstrating LangGraph and MCP concepts, while the other is a production framework implementing those same architectural patterns (multi-agent systems with control planes) for practical deployment.
About agent-craft
Annyfee/agent-craft
AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
This project is a systematic guide for developers looking to build sophisticated AI agents from scratch using Python. It takes you from basic large language model (LLM) calls to integrating advanced features like external tools and knowledge bases. You'll learn to create intelligent systems that can understand, reason, and act, ultimately deploying them as functional applications.
About Agentic_AI_using_LangGraph
mohd-faizy/Agentic_AI_using_LangGraph
Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.
This project helps AI solution builders create advanced AI systems that can independently plan, execute, and remember tasks, moving beyond simple question-and-answer bots. It takes high-level goals or problems and produces a series of coordinated actions by specialized AI agents to achieve those goals. This is for AI developers, researchers, and engineers building sophisticated, autonomous AI applications.
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