by Annyfee · MCP Server · ★ 124
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🤖 Agent Craft —— 从零构建全栈AI智能体 ✅ 系统性开源教学项目,手把手带你用 Python 构建可运行的 AI Agent,涵盖 Prompt、LLM、LangChain、RAG、LangGraph、MCP 到部署发布全流程。 📘 项目简介 如果你正在学习 AI 智能体开发,却卡在“知道概念但不会动手”或“会调 API 但不懂原理”的阶段—— Agent Craft 就是为你设计的学习路径。 我们从最基础的 LLM 调用开始,一步步带你构建完整的 Agent 能力栈: 让模型调用外部工具(Function Calling) 接入私有知识库实现问答(RAG) 用 LangGraph 实现带状态、可调试的决策流程 整合记忆、工具与检索,打造真正可用的智能体 所有内容围绕两个原则展开: 💻 代码可运行:每个模块独立、注释清晰、本地一键复现 📖 原理可理解:配套 CSDN 博客详解设计思路与关键机制 💡 我们不重复造轮子,但也不止于调用框架—— 而是在 LangChain、LangGraph 等主流工具中,看清 Agent 是如何思考、决策与行动的。 🧭 模块总览(15 模块) 💡 每个模块对应独立目录(含代码、说明与示例),可独立运行与学习。 🔥 已更新至 13 Streamlit 快速入门,持续更新中! [🏠](https://blog.csdn.net/2
| Stars | 124 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.7180576638421/100 |
| Last Updated | 2026-03-12 |
| Created | 2025-10-23 |
| Platforms | mcp, python |
| Est. Tokens | ~4087k |
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agent-craft is 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. It is categorized as a MCP Server with 124 GitHub stars.
agent-craft is primarily written in Python. It covers topics such as ai-agent, artificial-intelligence, beginner-guide.
You can find installation instructions and usage details in the agent-craft GitHub repository at github.com/Annyfee/agent-craft. The project has 124 stars and 24 forks, indicating an active community.
agent-craft is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-craft on Agent Skills Hub include argo, oreilly-ai-agents, c4-genai-suite. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.