LangGraph Fundamentals

Create stateful agentic workflows with LangGraph StateGraph, nodes, and edges.

11|2|Updated Feb 3, 2026

Search Tags:#workflow #state management #agent #orchestration #langgraph #graph

Ready to run

npx skills add https://github.com/jackjin1997/ClawForge --skill langgraph-fundamentals-jackjin1997

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: LangGraph Fundamentals
Source: https://github.com/jackjin1997/ClawForge/tree/main/skills/langgraph-fundamentals
Command: npx skills add https://github.com/jackjin1997/ClawForge --skill langgraph-fundamentals-jackjin1997

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to building complex agentic workflows using LangGraph, enabling fine-grained control over orchestration, state management, and execution flow.

Core Features & Use Cases

StateGraph Creation: Learn to define and build stateful directed graphs for agentic processes.
Node & Edge Management: Understand how to implement nodes (functions) and define static or conditional edges for routing.
State Management with Reducers: Master the use of Annotated and reducers for controlled state updates, including list accumulation and custom logic.
Command API: Utilize the Command type for combined state updates and routing decisions within a single node.
Use Case: Building a multi-turn conversational agent that needs to maintain conversation history, track user intent, and branch to different tools based on the context.

Quick Start

Use the LangGraph Fundamentals skill to create a simple StateGraph with two nodes and a linear edge connecting them.

Frequently Asked Questions about LangGraph Fundamentals

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

FAQPage Schema

How do I build a stateful agentic workflow with LangGraph?▼

You can build a stateful agentic workflow with LangGraph by defining a StateGraph, implementing nodes as functions, and connecting them with static or conditional edges to control execution flow and orchestration.

How does state management work in LangGraph using reducers?▼

State management in LangGraph uses Annotated types and reducers to control state updates. Reducers enable list accumulation and custom logic, ensuring nodes update shared state predictably during graph execution.

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

The Command API in LangGraph orchestration is used to combine state updates and routing decisions within a single node. This allows nodes to dynamically direct the execution flow while modifying the graph's state.

Can I implement conditional routing in LangGraph for multi-turn conversational agents?▼

Yes, you can implement conditional routing in LangGraph for multi-turn conversational agents. By defining conditional edges, the graph can branch to different tools based on the current context, intent, and conversation history.

Does LangGraph support both Python and TypeScript for agent state management?▼

Yes, LangGraph supports both Python and TypeScript for agent state management. You can use either language to build complex, stateful agent orchestrations using StateGraphs, nodes, edges, and reducers.