LangGraph Fundamentals

Build stateful agent workflows with LangGraph StateGraph and reducers.

1.1k|86|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/langchain-ai/langchain-skills --skill langgraph-fundamentals-langchain-ai
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Skill: LangGraph Fundamentals
Source: https://github.com/langchain-ai/langchain-skills/tree/main/config/skills/langgraph-fundamentals
Command: npx skills add https://github.com/langchain-ai/langchain-skills --skill langgraph-fundamentals-langchain-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides essential knowledge and practical examples for building sophisticated agent workflows using LangGraph, addressing common pitfalls in state management and graph construction.

Core Features & Use Cases

  • State Management: Learn to correctly manage and update graph state, including the use of reducers for list accumulation and custom logic.
  • Graph Construction: Understand how to define nodes, edges (static and conditional), and utilize Command for combined state updates and routing.
  • Use Case: Building an agent that needs to iteratively refine a document based on feedback, requiring careful state updates and conditional branching between editing and review nodes.

Quick Start

Use the LangGraph Fundamentals skill to learn how to define a StateGraph with annotated state and conditional edges.

Frequently Asked Questions about LangGraph Fundamentals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage state updates in a LangGraph workflow without overwriting existing data?

LangGraph state management requires defining state schemas with reducers to accumulate list values and apply custom merge logic, preventing partial state updates from overwriting existing data across nodes.

What is the Command API used for in LangGraph agent orchestration?

The Command API in LangGraph is used for combining state updates and conditional routing within graph edges, allowing you to simultaneously modify the graph state and direct the workflow to a specific node.

How do I set up conditional routing between nodes in a LangGraph StateGraph?

Set up conditional routing in a LangGraph StateGraph by defining conditional edges that evaluate the current state and return the name of the next node, or by using the Command API to dynamically route based on workflow logic.

Why does my LangGraph workflow fail when updating lists in the state?

LangGraph workflows fail on state list updates when reducers are missing from the state schema, so you must define annotated reducer functions to correctly accumulate and merge list data during partial state updates.

Can I build an iterative document refinement agent using LangGraph?

Yes, you can build an iterative document refinement agent in LangGraph by constructing a StateGraph with conditional edges that branch between editing and review nodes based on continuous feedback.

Do I need to avoid mutable defaults when defining LangGraph state schemas?

Yes, you must avoid mutable defaults when defining LangGraph state schemas to prevent shared state corruption, utilizing reducers and proper schema annotations for safe graph state initialization.