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LangGraph Platform
Platform for building and deploying AI agents
Overview
Deployment options
Cloud SaaS
Self-hosted data plane
Self-hosted control plane
Standalone container
Guides for deployment
Deploy to cloud SaaS
Deploy self-hosted data plane
Deploy self-hosted control plane
Deploy a standalone container
Interact with the deployment using RemoteGraph
Configure your application for deployment
Set up a LangGraph application with requirements.txt
Set up a LangGraph application with pyproject.toml
Set up a LangGraph.js application
Customize the Dockerfile
Rebuild graph at runtime
LangGraph CLI
LangGraph SDK
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Standalone container
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Overview
Standalone container
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To deploy a
LangGraph Server
, follow the how-to guide for
how to deploy a Standalone Container
.
Overview
The Standalone Container deployment option is the least restrictive model for deployment. There is no
control plane
.
Data plane
infrastructure is managed by you.
Control plane
Data plane
What is it?
n/a
LangGraph Servers
Postgres, Redis, etc
Where is it hosted?
n/a
Your cloud
Who provisions and manages it?
n/a
You
LangGraph Platform should not be deployed in serverless environments. Scale to zero may cause task loss and scaling up will not work reliably.
Architecture
Compute Platforms
Kubernetes
The Standalone Container deployment option supports deploying data plane infrastructure to a Kubernetes cluster.
Docker
The Standalone Container deployment option supports deploying data plane infrastructure to any Docker-supported compute platform.
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Kubernetes
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Assistant
Responses are generated using AI and may contain mistakes.