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This guide shows you how to deploy standalone without the LangSmith UI or control plane. This is the most lightweight self-hosting option, ideal for running one or a few agents as independent services.
This is the setup page for deploying LangGraph Servers directly without the LangSmith platform.Review the self-hosted options to understand:Before continuing, review the standalone server overview.

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Prerequisites

  1. Use the LangGraph CLI to test your application locally.
  2. Use the LangGraph CLI to build a Docker image (i.e. langgraph build).
  3. The following environment variables are needed for a data plane deployment.
  4. REDIS_URI: Connection details to a Redis instance. Redis will be used as a pub-sub broker to enable streaming real time output from background runs. The value of REDIS_URI must be a valid Redis connection URI.
    Shared Redis Instance Multiple self-hosted deployments can share the same Redis instance. For example, for Deployment A, REDIS_URI can be set to redis://<hostname_1>:<port>/1 and for Deployment B, REDIS_URI can be set to redis://<hostname_1>:<port>/2.1 and 2 are different database numbers within the same instance, but <hostname_1> is shared. The same database number cannot be used for separate deployments.
  5. DATABASE_URI: Postgres connection details. Postgres will be used to store assistants, threads, runs, persist thread state and long term memory, and to manage the state of the background task queue with ‘exactly once’ semantics. The value of DATABASE_URI must be a valid Postgres connection URI.
    Shared Postgres Instance Multiple self-hosted deployments can share the same Postgres instance. For example, for Deployment A, DATABASE_URI can be set to postgres://<user>:<password>@/<database_name_1>?host=<hostname_1> and for Deployment B, DATABASE_URI can be set to postgres://<user>:<password>@/<database_name_2>?host=<hostname_1>.<database_name_1> and database_name_2 are different databases within the same instance, but <hostname_1> is shared. The same database cannot be used for separate deployments.
  6. LANGSMITH_API_KEY: LangSmith API key.
  7. LANGGRAPH_CLOUD_LICENSE_KEY: LangSmith license key. This will be used to authenticate ONCE at server start up.
  8. LANGSMITH_ENDPOINT: To send traces to a self-hosted LangSmith instance, set LANGSMITH_ENDPOINT to the hostname of the self-hosted LangSmith instance.
  9. Egress to https://beacon.langchain.com from your network. This is required for license verification and usage reporting if not running in air-gapped mode. See the Egress documentation for more details.

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Kubernetes

Use this Helm chart to deploy a LangGraph Server to a Kubernetes cluster.

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Docker

Run the following docker command: 
docker run \
    --env-file .env \
    -p 8123:8000 \
    -e REDIS_URI="foo" \
    -e DATABASE_URI="bar" \
    -e LANGSMITH_API_KEY="baz" \
    my-image
  • You need to replace my-image with the name of the image you built in the prerequisite steps (from langgraph build)
and you should provide appropriate values for REDIS_URI, DATABASE_URI, and LANGSMITH_API_KEY.
  • If your application requires additional environment variables, you can pass them in a similar way.

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Docker Compose

Docker Compose YAML file: 
volumes:
    langgraph-data:
        driver: local
services:
    langgraph-redis:
        image: redis:6
        healthcheck:
            test: redis-cli ping
            interval: 5s
            timeout: 1s
            retries: 5
    langgraph-postgres:
        image: postgres:16
        ports:
            - "5432:5432"
        environment:
            POSTGRES_DB: postgres
            POSTGRES_USER: postgres
            POSTGRES_PASSWORD: postgres
        volumes:
            - langgraph-data:/var/lib/postgresql/data
        healthcheck:
            test: pg_isready -U postgres
            start_period: 10s
            timeout: 1s
            retries: 5
            interval: 5s
    langgraph-api:
        image: ${IMAGE_NAME}
        ports:
            - "8123:8000"
        depends_on:
            langgraph-redis:
                condition: service_healthy
            langgraph-postgres:
                condition: service_healthy
        env_file:
            - .env
        environment:
            REDIS_URI: redis://langgraph-redis:6379
            LANGSMITH_API_KEY: ${LANGSMITH_API_KEY}
            DATABASE_URI: postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable
You can run the command docker compose up with this Docker Compose file in the same folder. This will launch a LangGraph Server on port 8123 (if you want to change this, you can change this by changing the ports in the langgraph-api volume). You can test if the application is healthy by running: 
curl --request GET --url 0.0.0.0:8123/ok
Assuming everything is running correctly, you should see a response like: 
{"ok":true}
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