didilili/ai-agents-from-zeroMCPMCP Server

ai-agents-from-zero

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

1.7kstars

224forks

Python

agentagent-frameworkagentic-aiai-agentaigccozecursordeepagentsdifygptlangchainlanggraph

Quality signals

ActiveNo testsNo CIThin docsNo licensePopular

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AI summary

Auto-generated overview of what this skill does and when to reach for it.

A Chinese-language, project-based guide teaching developers to build enterprise-grade AI agents from scratch using LangChain, LangGraph, Coze, Dify, and MCP.

Use this when

Learning AI agent frameworks like LangChain or LangGraph
Building RAG-powered tools for internal knowledge bases
Preparing for AI application developer interviews
Deploying agent systems with Coze or Dify
Debugging multi-agent workflows with MCP

Don't use when

Need production-ready, vendor-neutral agent SDKs
Want English-first documentation or examples
Seeking pre-built agent templates for non-Chinese markets

Capabilities

Covers LangChain, LangGraph, Coze, Dify, MCP, and RAG in one path
Provides runnable code for NL2SQL and multi-agent projects
Includes interview question bank aligned with 2026 job descriptions
Teaches enterprise deployment with Docker, Ollama, and cloud platforms
Explains tool calling, skills, and function-calling patterns
Links concepts to real-world agent use cases like e-commerce Q&A

InstallMCPRun via uvx (Python)

Universal installANY TOOL

$ npx skillcity@latest didilili/ai-agents-from-zero

Auto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor or Cline.

Requires Node.js 18+ (ships with npx).

Or install manually

uvx ai-agents-from-zero

MCP Configuration

Add this to your claude_desktop_config.json

{
  "mcpServers": {
    "ai-agents-from-zero": {
      "command": "uvx",
      "args": [
        "ai-agents-from-zero"
      ]
    }
  }
}

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ai-agents-from-zero