> For the complete documentation index, see [llms.txt](https://docs.warpstream.com/warpstream/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.warpstream.com/warpstream/getting-started/run-the-agent-locally.md).

# Run the Agents Locally

First, [install the WarpStream Agent](/warpstream/getting-started/install-the-warpstream-agent.md) for your platform.

## Playground vs. Local

There are two ways to run WarpStream locally:

1. `playground` mode
2. `local` mode

`playground` mode is designed for interactive local development. It signs up for a temporary WarpStream account that is valid for a few hours, starts a local Agent with an embedded Kafka cluster, Schema Registry cluster, and Tableflow cluster, and uses the real hosted WarpStream control plane so that you have full access to WarpStream's featureset, API, and UI to explore as much of the product as possible. If you just want to test something manually, or explore the product, this is the best option.

`local` mode is designed for non-interactive local development like automated CI environments. Unlike `playground` mode, `local` mode has no dependency on WarpStream's hosted control plane and instead uses a fake in-memory control plane in the Agent binary itself. This makes it suitable for CI environments where hundreds or even thousands of ephemeral WarpStream clusters need to be spawned simultaneously without being subjected to ratelimits.

{% hint style="warning" %}
Both `playground` and `local` mode store data in memory, so any data written will no longer be accessible once the process exits. They're also heavily ratelimited in terms of the amount of Kafka traffic they can handle and are not suitable at all for benchmarking.
{% endhint %}

## Docker

{% tabs %}
{% tab title="Playground" %}
{% code overflow="wrap" %}

```bash
docker run -p 8080 -p 9092:9092 -p 9094:9094 public.ecr.aws/warpstream-labs/warpstream_agent:latest playground
```

{% endcode %}
{% endtab %}

{% tab title="Local" %}
{% code overflow="wrap" %}

```bash
docker run -p 8080 -p 9092:9092 -p 9094:9094 public.ecr.aws/warpstream-labs/warpstream_agent:latest local
```

{% endcode %}
{% endtab %}
{% endtabs %}

Once the docker container is running, there will be a Kafka TCP server listening on port 9092 and a Schema Registry HTTP server listening on port 9094.

This means you're ready to run any application locally that expects to connect to Kafka, and it'll connect to WarpStream instead if you set the bootstrap URL to `localhost:9092`.

You can also replace the URL of your schema registry clients to `localhost:9094` and it'll connect to WarpStream's Schema Registry instead.

If you encounter any problems connecting an application running *outside* of Docker to the WarpStream agent running inside of Docker, follow [our instructions below for diagnosing connection issues](#diagnosing-connection-issues).

## Standalone Binary

Alternatively, if you installed the standalone WarpStream Agent binary and it is in your `PATH`, you can just run:

{% tabs %}
{% tab title="Playground" %}
{% code overflow="wrap" %}

```bash
warpstream playground
```

{% endcode %}
{% endtab %}

{% tab title="Local" %}
{% code overflow="wrap" %}

```bash
warpstream local
```

{% endcode %}
{% endtab %}
{% endtabs %}

{% hint style="warning" %}
Both `playground` and `local` mode store data in memory, so any data written will no longer be accessible once the process exits.
{% endhint %}

Once that completes, run the following command to test the Kafka connection:

{% code overflow="wrap" %}

```bash
warpstream kcmd -type diagnose-connection -bootstrap-host localhost -bootstrap-port 9092
```

{% endcode %}

If that succeeds, then you're ready to run any application locally that expects to connect to Apache Kafka, and it'll connect to WarpStream instead if you set the bootstrap URL to `localhost:9092`.

If the diagnostic command returns an error, follow the provided instructions to diagnose and fix it.

To test the Schema Registry connection, you can send a request to the server with `curl` as follows:

```bash
curl -X POST "http://localhost:9094/subjects/foo/versions" \
     -H "Content-Type: application/json" \
     -d '{"schema": "{\"type\":\"long\"}"}'
```

If you receive a valid response, such as `{"id":1}`, then you're ready to run any application locally that expects to connect to a schema registry by replacing schema registry URL with `localhost:9094`.

## Diagnosing Connection Issues

The WarpStream Agent binary ships with a utility for diagnosing connection issues. However, diagnosing connection issues cannot be done in a general purpose manner from within a Docker container. Therefore even if you're running the Agent in a Docker container locally, you'll need to follow our ["Installation Script" Agent installation instructions](/warpstream/getting-started/install-the-warpstream-agent.md) to install the raw WarpStream Agent binary locally before proceeding.

Once the binary is installed, run the following command to test the connection:

{% code overflow="wrap" %}

```bash
warpstream kcmd -type diagnose-connection -bootstrap-host localhost -bootstrap-port 9092
```

{% endcode %}

If that succeeds, then you're ready to run any application locally that expects to connect to Apache Kafka, and it'll connect to WarpStream instead if you set the bootstrap URL to `localhost:9092`.

If the diagnostic command returns an error, follow the provided instructions to diagnose and fix.


---

# Agent Instructions
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