diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx
index cd28a9e723..c26e25487e 100644
--- a/dotnet/agent-framework-dotnet.slnx
+++ b/dotnet/agent-framework-dotnet.slnx
@@ -48,6 +48,7 @@
+
diff --git a/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/Agent_Step11_UsingImages.csproj b/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/Agent_Step11_UsingImages.csproj
new file mode 100644
index 0000000000..a438862616
--- /dev/null
+++ b/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/Agent_Step11_UsingImages.csproj
@@ -0,0 +1,22 @@
+
+
+
+ Exe
+ net9.0
+ 12
+
+ enable
+ disable
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/Program.cs b/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/Program.cs
new file mode 100644
index 0000000000..318788f352
--- /dev/null
+++ b/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/Program.cs
@@ -0,0 +1,30 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to use Image Multi-Modality with an AI agent.
+
+using System;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Extensions.AI;
+using OpenAI;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
+
+var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
+ .GetChatClient(deploymentName)
+ .CreateAIAgent(
+ name: "VisionAgent",
+ instructions: "You are a helpful agent that can analyze images");
+
+ChatMessage message = new(ChatRole.User, [
+ new TextContent("What do you see in this image?"),
+ new UriContent("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", "image/jpeg")
+]);
+
+var thread = agent.GetNewThread();
+
+await foreach (var update in agent.RunStreamingAsync(message, thread))
+{
+ Console.WriteLine(update);
+}
diff --git a/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/README.md b/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/README.md
new file mode 100644
index 0000000000..49d1bff4a2
--- /dev/null
+++ b/dotnet/samples/GettingStarted/Agents/Agent_Step11_UsingImages/README.md
@@ -0,0 +1,52 @@
+# Using Images with AI Agents
+
+This sample demonstrates how to use image multi-modality with an AI agent. It shows how to create a vision-enabled agent that can analyze and describe images using Azure OpenAI.
+
+## What this sample demonstrates
+
+- Creating a persistent AI agent with vision capabilities
+- Sending both text and image content to an agent in a single message
+- Using `UriContent` to Uri referenced images
+- Processing multimodal input (text + image) with an AI agent
+
+## Key features
+
+- **Vision Agent**: Creates an agent specifically instructed to analyze images
+- **Multimodal Input**: Combines text questions with image uri in a single message
+- **Azure OpenAI Integration**: Uses AzureOpenAI LLM agents
+
+## Prerequisites
+
+Before running this sample, ensure you have:
+
+1. An Azure OpenAI project set up
+2. A compatible model deployment (e.g., gpt-4o)
+3. Azure CLI installed and authenticated
+
+## Environment Variables
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI endpoint
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o" # Replace with your model deployment name (optional, defaults to gpt-4o)
+```
+
+## Run the sample
+
+Navigate to the sample directory and run:
+
+```powershell
+cd Agent_Step11_UsingImages
+dotnet run
+```
+
+## Expected behavior
+
+The sample will:
+
+1. Create a vision-enabled agent named "VisionAgent"
+2. Send a message containing both text ("What do you see in this image?") and a Uri image of a green walk
+3. The agent will analyze the image and provide a description
+4. Clean up resources by deleting the thread and agent
+
diff --git a/dotnet/samples/GettingStarted/Agents/README.md b/dotnet/samples/GettingStarted/Agents/README.md
index 03e9edc247..c6959aee65 100644
--- a/dotnet/samples/GettingStarted/Agents/README.md
+++ b/dotnet/samples/GettingStarted/Agents/README.md
@@ -36,6 +36,7 @@ Before you begin, ensure you have the following prerequisites:
|[Telemetry with a simple agent](./Agent_Step08_Telemetry/)|This sample demonstrates how to add telemetry to a simple agent|
|[Dependency injection with a simple agent](./Agent_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
|[Exposing a simple agent as MCP tool](./Agent_Step10_AsMcpTool/)|This sample demonstrates how to expose an agent as an MCP tool|
+|[Using images with a simple agent](./Agent_Step11_UsingImages/)|This sample demonstrates how to use image multi-modality with an AI agent|
## Running the samples from the console
diff --git a/dotnet/samples/SemanticKernelMigration/NotMigratedUseCases/SemanticKernelBasic/.github/SemanticKernelToAgentFrameworkReport.md b/dotnet/samples/SemanticKernelMigration/NotMigratedUseCases/SemanticKernelBasic/.github/SemanticKernelToAgentFrameworkReport.md
new file mode 100644
index 0000000000..e69de29bb2