LangChain
langchain.com › langgraph
LangGraph: Agent Orchestration Framework for Reliable AI Agents
Design agents that reliably handle complex tasks with LangGraph, an agent runtime and low-level orchestration framework.
GitHub
github.com › langchain-ai › langgraph
GitHub - langchain-ai/langgraph: Build resilient language agents as graphs. · GitHub
3 days ago - Build resilient language agents as graphs. Contribute to langchain-ai/langgraph development by creating an account on GitHub.
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Languages Python
Videos
13:21
LangGraph Explained for Beginners - YouTube
03:09:52
LangGraph Complete Course for Beginners – Complex AI Agents with ...
10:42
What is LangGraph? Let's develop an AI agent! Introduction to ...
08:42
LangGraph Agents - Controllability - Sub-graphs - YouTube
Using remote graphs in a multi-agent setup
Langchain
docs.langchain.com › oss › python › langgraph › graph-api
Graph API overview - Docs by LangChain
To emphasize: Nodes and Edges are ... edges tell what to do next. LangGraph’s underlying graph algorithm uses message passing to define a general program....
Medium
medium.com › @cplog › introduction-to-langgraph-a-beginners-guide-14f9be027141
Mastering LangGraph: A Beginner's Guide to Building Intelligent Language Models | Medium
April 21, 2024 - LangGraph is a library built on top of LangChain, designed to add cyclic computational capabilities to your LLM applications. While LangChain allows you to define chains of computation (Directed Acyclic Graphs or DAGs), LangGraph introduces ...
Langchain
reference.langchain.com › python › langgraph › graphs
graphs | langgraph | LangChain Reference
A graph whose nodes communicate by reading and writing to a shared state.
IBM
ibm.com › think › topics › langgraph
What is LangGraph? | IBM
1 month ago - It provides a set of tools and ... At its core, LangGraph uses the power of graph-based architectures to model and manage the intricate relationships between various components of an AI agent workflow....
DataCamp
datacamp.com › tutorial › langgraph-tutorial
LangGraph Tutorial: What Is LangGraph and How to Use It? | DataCamp
June 26, 2024 - LangGraph provides a framework for defining, coordinating, and executing multiple LLM agents (or chains) in a structured manner. It simplifies the development process by enabling the creation of cyclical graphs, which are essential for developing agent runtimes.
YouTube
youtube.com › watch
LangGraph Tutorial - How to Build Advanced AI Agent Systems - YouTube
Download PyCharm and use it for free forever with one month of Pro included: https://www.jetbrains.com/pycharm/In this video, you're going to learn how to bu...
Published May 5, 2025
DataCamp
datacamp.com › tutorial › langgraph-agents
How to Build LangGraph Agents Hands-On Tutorial | DataCamp
July 15, 2025 - Overall, LangGraph is a powerful library that offers a structured and scalable approach to building agentic systems. Modeling logic as a graph of nodes and edges, with shared state and persistent memory, allows us to develop robust agents that can reason, interact, and adapt over time.
GitHub
github.com › langchain-ai › langgraph › tree › main › examples
langgraph/examples at main · langchain-ai/langgraph
Build resilient language agents as graphs. Contribute to langchain-ai/langgraph development by creating an account on GitHub.
Author langchain-ai
GettingStarted.ai
gettingstarted.ai › langgraph-tutorial-with-example
LangGraph Tutorial with Practical Example
November 24, 2024 - For example, a node can integrate with a large language model, process information, call an external API, or any other task. A LangGraph node takes the state of the graph as a parameter and returns an updated state after it is executed.
Medium
medium.com › @ashutoshsharmaengg › getting-started-with-langgraph-a-beginners-guide-to-building-intelligent-workflows-67eeee0899d0
Getting Started with LangGraph: A Beginner’s Guide to Building Intelligent Workflows
June 15, 2025 - LangGraph is a powerful framework for orchestrating complex workflows, allowing you to define sequences of operations (nodes) and how they connect (edges) to form a complete application.
Medium
medium.com › data-science › from-basics-to-advanced-exploring-langgraph-e8c1cf4db787
From Basics to Advanced: Exploring LangGraph | by Mariya Mansurova | TDS Archive | Medium
August 15, 2024 - LangGraph (as you might guess from the name) models all interactions as cyclical graphs.
Hugging Face
huggingface.co › learn › agents-course › unit2 › langgraph › introduction
Introduction to LangGraph · Hugging Face
LangGraph is a framework that allows you to build production-ready applications by giving you control tools over the flow of your agent.
Reddit
reddit.com › r/ai_agents › why use langgraph?
r/AI_Agents on Reddit: Why use LangGraph?
June 6, 2025 -
Hey guys I've been researching AI Agents and LangGraph seems to be one pretty solid contender. If any of you use it to build agents on a regular basis, would love to know what do you think are the most important features or edge factors LangGraph offers? In depth explanations would be helpful. Thanks a lot!
Top answer 1 of 15
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My advice is to do the first project with a simple agentic framework like smolagents or pydanticai. Then, with the second one you will understand why langgraph brings a value. It allows you to conveniently structure the logic into a network of workflows, which gives you greater control plus saves some context space in your LLM calls. At least this is mine experience
2 of 15
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There are a few factors. I started with LangChain in late 2022, so there is familiarity. Also, I'm not a fan of using a proprietary solution. LangGraph emphasizes graph-based workflows and state management, making it ideal for complex applications with sophisticated logic and memory persistence, which I need. I've designed my own agentic frameworks in the past, but taking on that and my other projects is daunting.
LangChain Academy
academy.langchain.com › courses › intro-to-langgraph
Foundation: Introduction to LangGraph - Python
Learn the basics of LangGraph - our framework for building agentic and multi-agent applications. Separate from the LangChain package, LangGraph helps developers add better precision and control into agentic workflows.