
LangChainAI has launched LangGraph Cloud, a new infrastructure designed to run fault-tolerant LangGraph agents at scale. LangGraph Cloud allows users to handle large workloads and deploy compiled LangGraph with persistence. The platform also features LangGraph Studio, an integrated development environment (IDE) for testing, debugging, and sharing LangGraph applications. Currently in Beta, this launch is seen as a significant step towards creating robust, scalable AI agents, and is expected to be a game-changer for production-ready language use cases. LangGraph Cloud is live now.
There’s a good chance this will change the way we think about building agents. @LangChainAI 🦜 Dropped LangGraph Cloud today 🔥 The same way LangSmith delivered observably, LangGraph Cloud promises to deliver cyclical agents in an observable studio environment. @hwchase17 🙏 https://t.co/BoCocYi9LO
Custom Cognitive Architectures + Generic Agent Infrastructure = LangGraph Cloud Check out the launch video here: https://t.co/K2XlzVSD25 And blog: https://t.co/MoWJLnAxEt The coolest part? LangGraph Studio - an IDE or testing, debugging, and sharing LangGraph applications https://t.co/WY2Kh6DRog https://t.co/FfNLUXQxCf
Huge step towards robust, scalable AI agents. LangGraph Cloud can be game-changer for production-ready language use cases https://t.co/nBg7cRWUfg


