Gain control with LangGraph to design agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. Learn the basics of LangGraph in this LangChain Academy Course. You'll learn how to build agents that …

LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents.

LangGraph is built for developers who want to build powerful, adaptable AI agents. Developers choose LangGraph for: Reliability and controllability. Steer agent actions with moderation checks and human-in-the-loop approvals. LangGraph persists context for long-running workflows, keeping your agents on course. Low-level and extensible.

LangGraph Quickstart: Build a chatbot that can use tools and keep track of conversation history. Add human-in-the-loop capabilities and explore how time-travel works. Common Workflows: Overview of the most common workflows using LLMs implemented with LangGraph.

2024年6月26日 · LangGraph is a library within the LangChain ecosystem that provides a framework for defining, coordinating, and executing multiple LLM agents (or chains) in a structured and efficient manner. Imagine you're building a complex, multi-agent large language model (LLM) application.

As the world of LLMs moves beyond single-prompt interactions, developers are now looking for more structured, flexible, and stateful ways to orchestrate AI agents and tools. Enter LangGraph — a new paradigm for building graph-based workflows with LangChain.If LangChain helped us connect tools and chains, LangGraph gives us control over how information flows, how agents …

2024年9月6日 · LangGraph, a powerful extension of the LangChain library, is designed to help developers build these advanced AI agents by enabling stateful, multi-actor applications with cyclic computation...

2025年3月19日 · LangGraph is a versatile Python library designed for stateful, cyclic, and multi-actor Large Language Model (LLM) applications. This tutorial will give you an overview of LangGraph fundamentals through hands-on examples, and the tools needed to build your own LLM workflows and agents in LangGraph.

2024年10月1日 · LangGraph, a powerful library within the LangChain ecosystem, provides an elegant solution for building and managing multi-agent LLM applications. By representing workflows as cyclical graphs, LangGraph allows developers to orchestrate the interactions of multiple LLM agents, ensuring smooth communication and efficient execution of complex tasks.

2025年3月11日 · The graph can track conversation history and use it to inform future responses, making the interaction more natural. Workflow Automation: LangGraph can automate complex workflows that involve multiple steps and decision points. By defining the steps as nodes in the graph and the decision logic as edges, LangGraph can handle complex tasks easily.