diff --git a/docs/docs/cloud/how-tos/img/studio_screenshot.png b/docs/docs/cloud/how-tos/img/studio_screenshot.png
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diff --git a/docs/docs/cloud/how-tos/index.md b/docs/docs/cloud/how-tos/index.md
index 37a670af5..ba3d16e01 100644
--- a/docs/docs/cloud/how-tos/index.md
+++ b/docs/docs/cloud/how-tos/index.md
@@ -52,6 +52,7 @@ When creating complex graphs, leaving every decision up to the LLM can be danger
 LangGraph Studio is a built-in UI for visualizing, testing, and debugging your agents.
 
 - [How to enter LangGraph Studio](./test_deployment.md)
+- [How to enter LangGraph Studio for local deployment](./test_local_deployment.md)
 - [How to test your graph in LangGraph Studio](./invoke_studio.md)
 - [Interact with threads in LangGraph Studio](./threads_studio.md)
 
diff --git a/docs/docs/cloud/how-tos/test_local_deployment.md b/docs/docs/cloud/how-tos/test_local_deployment.md
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index 000000000..c0c9c09b9
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+++ b/docs/docs/cloud/how-tos/test_local_deployment.md
@@ -0,0 +1,28 @@
+# LangGraph Studio With Local Deployment
+
+!!! warning "Browser Compatibility"
+    Viewing the studio page of a local LangGraph deployment does not work in Safari. Use Chrome instead.
+
+## Setup
+
+Make sure you have setup your app correctly, by creating a compiled graph, a `.env` file with any environment variables, and a `langgraph.json` config file that points to your environment file and compiled graph. See [here](https://langchain-ai.github.io/langgraph/cloud/deployment/setup/) for more detailed instructions.
+
+After you have your app setup, head into the directory with your `langgraph.json` file and call `langgraph up -c langgraph.json --watch` to start the API server in watch mode which means it will restart on code changes, which is ideal for local testing. If the API server start correctly you should see logs that look something like this:
+
+    Ready!
+    - API: http://localhost:8123
+    2024-06-26 19:20:41,056:INFO:uvicorn.access 127.0.0.1:44138 - "GET /ok HTTP/1.1" 200
+
+Read this [reference](https://langchain-ai.github.io/langgraph/cloud/reference/cli/#up) to learn about all the options for starting the API server.
+
+## Access Studio
+
+Once you have successfully started the API server, you can access the studio by going to the following URL: `https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:8123` (see warning above if using Safari).
+
+If everything is working correctly you should see the studio show up looking something like this (with your graph diagram on the left hand side):
+
+![LangGraph Studio](./img/studio_screenshot.png)
+
+## Use the Studio for Testing
+
+To learn about how to use the studio for testing, read the [LangGraph Studio how-tos](https://langchain-ai.github.io/langgraph/cloud/how-tos/#langgraph-studio).
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diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
index e7e1f71e5..a344752e2 100644
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -211,6 +211,7 @@ nav:
               - Replay and Branch from Prior States: "cloud/how-tos/human_in_the_loop_time_travel.md"
           - LangGraph Studio:
               - Test Cloud Deployment: "cloud/how-tos/test_deployment.md"
+              - Test Local Deployment: "cloud/how-tos/test_local_deployment.md"
               - Invoke graph in LangGraph Studio: "cloud/how-tos/invoke_studio.md"
               - Interact with threads in LangGraph Studio: "cloud/how-tos/threads_studio.md"
           - Different Types of Runs: