> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Self-host standalone servers

> Deploy standalone Agent Servers using Docker, Docker Compose, or Kubernetes without the LangSmith control plane.

This guide shows you how to deploy **standalone <Tooltip tip="The server that runs your LangGraph applications.">Agent Servers</Tooltip>** directly, without using the [LangSmith control plane](/langsmith/deploy-with-control-plane). You can deploy the server independently and still use LangSmith separately for tracing and evaluation. Standalone servers are production-ready and provide the most lightweight self-hosting option for running agents.

<Note>
  For an overview of self-hosted deployment options, see [self-hosted options](/langsmith/self-hosted).
</Note>

## Prerequisites

1. Use the [LangGraph CLI](/langsmith/cli) to [test your application locally](/langsmith/local-dev-testing).
2. Use the [LangGraph CLI](/langsmith/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](https://redis-py.readthedocs.io/en/stable/connections.html#redis.Redis.from_url).

   <Note>
     **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**.
   </Note>
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](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING-URIS).

   <Note>
     **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**.
   </Note>

   <Tip>
     You can optionally store checkpoint data in MongoDB instead of PostgreSQL. PostgreSQL is still required for all other server data. See [Configure checkpointer backend](/langsmith/configure-checkpointer) for details.
   </Tip>
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](/langsmith/self-hosted) 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](/langsmith/self-host-egress) for more details.

<a id="helm" />

## Kubernetes

Use this [Helm chart](https://github.com/langchain-ai/helm/blob/main/charts/langgraph-cloud/README.md) to deploy an Agent Server to a Kubernetes cluster. This is the recommended setup for production standalone server deployments.

The Helm chart (v0.2.6+) supports MongoDB checkpointing with a bundled instance (dev/testing) or an external deployment (production). Set `mongo.enabled: true` in your values file. See [Configure checkpointer backend](/langsmith/configure-checkpointer#deploy-by-environment) for full configuration details.

## Docker

This `docker` example is intended for local development and testing.

Run the following `docker` command:

```shell theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
docker run \
    --env-file .env \
    -p 8123:8000 \
    -e REDIS_URI="foo" \
    -e DATABASE_URI="bar" \
    -e LANGSMITH_API_KEY="baz" \
    my-image
```

<Note>
  * 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.
</Note>

## Docker Compose

This Docker Compose example is intended for local development and testing.

Use the following Docker Compose file:

```yml theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
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
```

Run `docker compose up` with this file in the same folder.

<Accordion title="With MongoDB checkpointing">
  To store checkpoints in MongoDB instead of PostgreSQL, add a MongoDB service and configure the checkpointer backend. Set the backend to `"mongo"` in your `langgraph.json` or use the `LS_DEFAULT_CHECKPOINTER_BACKEND` environment variable. PostgreSQL is still required for all other server data.

  ```yml theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  volumes:
      langgraph-data:
          driver: local
      langgraph-mongo-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-mongo:
          image: mongo:7
          command: ["mongod", "--replSet", "rs0"]
          ports:
              - "27017:27017"
          volumes:
              - langgraph-mongo-data:/data/db
          healthcheck:
              test: mongosh --eval "try { rs.status().ok } catch(e) { rs.initiate({_id:'rs0',members:[{_id:0,host:'langgraph-mongo:27017'}]}).ok }" --quiet
              interval: 5s
              timeout: 10s
              retries: 10
              start_period: 10s
      langgraph-api:
          image: ${IMAGE_NAME}
          ports:
              - "8123:8000"
          depends_on:
              langgraph-redis:
                  condition: service_healthy
              langgraph-postgres:
                  condition: service_healthy
              langgraph-mongo:
                  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
              LS_DEFAULT_CHECKPOINTER_BACKEND: mongo
              LS_MONGODB_URI: mongodb://langgraph-mongo:27017/langgraph?replicaSet=rs0
  ```

  See [Configure checkpointer backend](/langsmith/configure-checkpointer) for more details on MongoDB configuration options.
</Accordion>

This will launch an Agent Server on port `8123` (change the port mapping in `langgraph-api` if needed). Test if the application is healthy:

```shell theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
curl --request GET --url 0.0.0.0:8123/ok
```

Assuming everything is running correctly, you should see a response like:

```shell theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
{"ok":true}
```

***

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