diff --git a/examples/misc/personal_assistant_agno.py b/examples/misc/personal_assistant_agno.py
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+++ b/examples/misc/personal_assistant_agno.py
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+"""
+Create your personal AI Assistant powered by memory that supports both text and images and remembers your preferences
+
+In order to run this file, you need to set up your Mem0 API at Mem0 platform and also need a OpenAI API key.
+export OPENAI_API_KEY="your_openai_api_key"
+export MEM0_API_KEY="your_mem0_api_key"
+"""
+
+import base64
+from pathlib import Path
+
+from agno.agent import Agent
+from agno.media import Image
+from agno.models.openai import OpenAIChat
+from mem0 import MemoryClient
+
+
+# Initialize the Mem0 client
+client = MemoryClient()
+
+# Define the agent
+agent = Agent(
+    name="Personal Agent",
+    model=OpenAIChat(id="gpt-4o"),
+    description="You are a helpful personal agent that helps me with day to day activities."
+                "You can process both text and images.",
+    markdown=True
+)
+
+
+# Function to handle user input with memory integration with support for images
+def chat_user(user_input: str = None, user_id: str = "user_123", image_path: str = None):
+    if image_path:
+        with open(image_path, "rb") as image_file:
+            base64_image = base64.b64encode(image_file.read()).decode("utf-8")
+
+        # First: the text message
+        text_msg = {
+            "role": "user",
+            "content": user_input
+        }
+
+        # Second: the image message
+        image_msg = {
+            "role": "user",
+            "content": {
+                "type": "image_url",
+                "image_url": {
+                    "url": f"data:image/jpeg;base64,{base64_image}"
+                }
+            }
+        }
+
+        # Send both as separate message objects
+        client.add([text_msg, image_msg], user_id=user_id, output_format='v1.1')
+        print("✅ Image uploaded and stored in memory.")
+
+    if user_input:
+        memories = client.search(user_input, user_id=user_id)
+        memory_context = "\n".join(f"- {m['memory']}" for m in memories)
+
+        prompt = f"""
+You are a helpful personal assistant who helps user with his day-to-day activities and keep track of everything.
+
+Your task is to:
+1. Analyze the given image (if present) and extract meaningful details to answer the user's question.
+2. Use your past memory of the user to personalize your answer.
+3. Combine the image content and memory to generate a helpful, context-aware response.
+
+Here is what remember about the user:
+{memory_context}
+
+User question:
+{user_input}
+"""
+        if image_path:
+            response = agent.run(prompt, images=[Image(filepath=Path(image_path))])
+        else:
+            response = agent.run(prompt)
+        client.add(f"User: {user_input}\nAssistant: {response.content}", user_id=user_id)
+        return response.content
+
+    return "No user input or image provided."
+
+
+# Example Usage
+user_id = "user_123"
+print(chat_user("What did I ask you to remind me about?", user_id))
+# # OUTPUT: You asked me to remind you to call your mom tomorrow. 📞
+#
+print(chat_user("When is my test?", user_id=user_id))
+# OUTPUT: Your pilot's test is on your birthday, which is in five days. You're turning 25!
+# Good luck with your preparations, and remember to take some time to relax amidst the studying.
+
+print(chat_user("This is the picture of what I brought with me in the trip to Bahamas",
+                image_path="travel_items.jpeg",  # this will be added to Mem0 memory
+                user_id=user_id))
+print(chat_user("hey can you quickly tell me if brought my sunglasses to my trip, not able to find",
+                user_id=user_id))
+# OUTPUT: Yes, you did bring your sunglasses on your trip to the Bahamas along with your laptop, face masks and other items..
+# Since you can't find them now, perhaps check the pockets of jackets you wore or in your luggage compartments.