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dive-into-langgraph

dive-into-langgraph

github.com/luochang212Agent workflows46569 installsUpdated 7w ago
Repository

About dive-into-langgraph

Dive Into LangGraph is a learning skill and guide to the LangGraph 1.0 agent framework, with online and offline chapters. It covers workflows, middleware, memory, multi-agent patterns, MCP integration, and retrieval.

Key features

  1. 01ReAct agent quick start
  2. 02StateGraph workflows and middleware
  3. 03Human-in-the-loop and memory
  4. 04MCP server creation and integration
  5. 05Parallel execution and multi-agent patterns
  6. 06RAG and web search

Use cases

  1. 01Learn to build a first ReAct agent
  2. 02Model workflows with StateGraph
  3. 03Add MCP servers to LangGraph
  4. 04Explore RAG and web search approaches

MCP support

The guide includes a chapter on creating MCP servers and connecting them to LangGraph.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/luochang212/dive-into-langgraph --skill dive-into-langgraph

After installing, type/dive-into-langgraphin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
1.quickstart.md
10.rag.md
11.web_search.md
2.stategraph.md
3.middleware.md
4.human_in_the_loop.md
5.memory.md
6.context.md
7.mcp_server.md
8.supervisor.md
9.parallelization.md
scripts/
examples.py
utils.py
scripts/tools/
__init__.py
tool_math.py

Details

From the project README

Dive Into LangGraph

LangGraph 是由 LangChain 团队开发的开源 Agent 框架。v1.0 是稳定版本，框架能力全面升级，支持中间件、状态图、多智能体等高级功能。本 skill 内容由《LangGraph 1.0 完全指南》提供。

LangGraph 1.0 完全指南：

安装依赖

基础依赖：

pip install \
  langgraph \
  "langchain[openai]" \
  langchain-community \
  langchain-mcp-adapters \
  python-dotenv \
  pydantic

环境变量

使用模型供应商的大模型需要设置环境变量，推荐使用阿里云百炼（DashScope）的模型：

# 阿里云百炼 (DashScope)
# 获取地址: https://bailian.console.aliyun.com/
DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
DASHSCOPE_API_KEY=your_api_key_here

# 火山方舟 (ARK)
# 获取地址: https://console.volcengine.com/ark/
ARK_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
ARK_API_KEY=your_api_key_here

# 或者其他模型供应商...

请将环境变量添加到 .env 文件，并填入你的 API key。

章节概览

序号章节内容简介在线阅读离线阅读
1快速入门创建你的第一个 ReAct Agent在线本地
2状态图使用 StateGraph 创建工作流在线本地
3中间件预算控制、消息截断、敏感词过滤、PII 检测在线本地
4人机交互使用 HITL 中间件实现人机交互在线本地
5记忆短期记忆、长期记忆在线本地
6上下文工程使用 State、Store、Runtime 管理上下文在线本地
7MCP Server创建 MCP Server 并接入 LangGraph在线本地
8监督者模式两种方法：tool-calling、langgraph-supervisor在线本地
9并行节点并发、@task 装饰器、Map-reduce、Sub-graphs在线本地
10RAG向量检索、关键词检索、混合检索在线本地
11网络搜索DashScope、Tavily 和 DDGS在线本地

官方资源

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