agent-craft

# Tool List > ✅ **Systematic Open Source Teaching Project**, guiding you to build a fully functional AI Agent from scratch using Python, covering Prompt, LLM, LangChain, RAG, LangGraph, MCP, and deployment. [](https://github.com/Annyfee/agent-craft/actions/workflows/ci.yml) ## 📘 Project Overview If you're learning AI agent development but struggling with "understanding concepts but not knowing how to implement" or "being able to call APIs but not understanding the principles" - **Agent Craft is the learning path designed for you.** We start from the basics of LLM calls and guide you step-by-step to build a complete Agent capability stack: - Let models call external tools (Function Calling) - Access private knowledge bases for Q&A (RAG) - Implement stateful, debuggable decision-making processes with LangGraph - Integrate memory, tools, and retrieval to create a truly usable intelligent agent All content follows two principles: - 💻 **Runnable code**: each module is independent, with clear comments, and can be reproduced locally with one click - 📖 **Understandable principles**: accompanying CSDN blog posts explain design ideas and key mechanisms > 💡 **We don't reinvent the wheel, but we go beyond just calling frameworks** - > Instead, we explore how Agents think, make decisions, and take actions using mainstream tools like LangChain and LangGraph. ## 🧭 Module Overview (15 Modules) > 💡 Each module corresponds to an independent directory (including code, instructions, and examples) and can be run and learned independently. > 🔥 Updated to 13 Streamlit Quick Start, continuously updated! | Chapter | Module | Blog | Core Keywords | Difficulty | |:-----------:|:---------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------:|:-------------------------------------------------------------|:-----:| | 🏗️ **Basics** | [01 Agent Introduction & Environment Setup](https://github.com/Annyfee/agent-craft/tree/main/m01_agent_introduction) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153729555) | OpenAI API | ⭐ | | | [02 LLM Fundamentals](https://github.com/Annyfee/agent-craft/tree/main/m02_llm_fundamentals) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153735431) | LLM API Call · prompt · Context Memory | ⭐ | | | [03 Function Calling & Tool Calling](https://github.com/Annyfee/agent-craft/tree/main/m03_function_calling_tools) | [🏠](https://blog.csdn.net/2401_87