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+# Single Agent Sample
+
+This sample demonstrates how to use the durable agents extension to create a simple console app that hosts a single AI agent and provides interactive conversation via stdin/stdout.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering durable agents with the console app and running them interactively.
+- Conversation management (via threads) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/04-hosting/DurableAgents/ConsoleApps/01_SingleAgent
+dotnet run --framework net10.0
+```
+
+The app will prompt you for input. You can interact with the Joker agent:
+
+```text
+=== Single Agent Console Sample ===
+Enter a message for the Joker agent (or 'exit' to quit):
+
+You: Tell me a joke about a pirate.
+Joker: Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+
+You: Now explain the joke.
+Joker: The joke plays on the word "sea" (C), which pirates are famously associated with...
+
+You: exit
+```
+
+## Scriptable Usage
+
+You can also pipe input to the app for scriptable usage:
+
+```bash
+echo "Tell me a joke about a pirate." | dotnet run
+```
+
+The app will read from stdin, process the input, and write the response to stdout.
+
+## Viewing Agent State
+
+You can view the state of the agent in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can view the state of the Joker agent, including its conversation history and current state
+
+The agent maintains conversation state across multiple interactions, and you can inspect this state in the dashboard to understand how the durable agents extension manages conversation context.