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Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably

The LangGraph platform has been officially released and Cloud testing services have been enabled.

2026-08-27 00:53 Models 🔥 33.9 heat score
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33.9heat score
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SummaryAI generated

On August 26, 2026, LangChain announced that its LangGraph platform had officially entered the General Availability (GA) phase, marking the completion of stable version updates for this core component of the agent infrastructure. This release aims to support large-scale deployment and management of long-running, stateful agents, providing a full set of capabilities from agent construction to production-level operations. Developers can develop applications in cloud environments such as AWS Lambda using the Python SDK, leveraging built-in loop control mechanisms and persistent storage functions to orchestrate complex workflows. Meanwhile, LangGraph Cloud, as a new infrastructure for running large-scale agents, has opened beta testing services, accelerating the implementation of enterprise-level agent applications.

Related eventsRELATED EVENTS
Key entitiesKEY ENTITIES
LangGraphLangGraph Cloud

Event frameEVENT FRAME

Launch

LangChain LangGraph v0.1 & LangGraph Cloud 发布 LangGraph 新稳定版及云平台

Status

The LangGraph platform has been officially released and Cloud testing services have been enabled.

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
LangGraph × LangGraph C…1

Integrated timelineUNIFIED TIMELINE

  1. 2026-08-26

    The LangGraph platform has been officially released.

    LangChain announced that the LangGraph platform has entered the GA phase, and Cloud testing services are now available.

    2 reports

SignalsSIGNALS

Keyword heat
  • LangGraph2
  • LangGraph Cloud1

All reports (2)SOURCES

L LangChain Blog en 2026-08-27 00:15

LangGraph Platform is now Generally Available: Deploy & manage long-running, stateful Agents

LangGraph 平台现已正式通用发布,旨在支持大规模部署与管理长运行、有状态智能体。该平台作为 LangChain 生态的基础设施,提供从代理构建到生产级运维的全套能力,支持通过 Python SDK 进行开发及在云端环境(如 AWS Lambda)中运行。开发者可利用其内置的循环控制机制和持久化存储功能,实现复杂工作流的编排与管理,目前平台已开放使用以加速企业级智能体应用的落地。