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#1	---
#2	title: Personalized AI Tutor
#3	description: "Keep student progress and preferences persistent across tutoring sessions."
#4	---
#5
#6
#7	You can create a personalized AI Tutor using Mem0. This guide will walk you through the necessary steps and provide the complete code to get you started.
#8
#9	## Overview
#10
#11	The Personalized AI Tutor leverages Mem0 to retain information across interactions, enabling a tailored learning experience. By integrating with OpenAI's GPT-4 model, the tutor can provide detailed and context-aware responses to user queries.
#12
#13	## Setup
#14
#15	Before you begin, ensure you have the required dependencies installed. You can install the necessary packages using pip:
#16
#17	```bash
#18	pip install openai mem0ai
#19	```
#20
#21	## Full Code Example
#22
#23	Below is the complete code to create and interact with a Personalized AI Tutor using Mem0:
#24
#25	```python
#26	import os
#27	from openai import OpenAI
#28	from mem0 import Memory
#29
#30	# Set the OpenAI API key
#31	os.environ['OPENAI_API_KEY'] = 'sk-xxx'
#32
#33	# Initialize the OpenAI client
#34	client = OpenAI()
#35
#36	class PersonalAITutor:
#37	def __init__(self):
#38	"""
#39	Initialize the PersonalAITutor with memory configuration and OpenAI client.
#40	"""
#41	config = {
#42	"vector_store": {
#43	"provider": "qdrant",
#44	"config": {
#45	"host": "localhost",
#46	"port": 6333,
#47	}
#48	},
#49	}
#50	self.memory = Memory.from_config(config)
#51	self.client = client
#52	self.app_id = "app-1"
#53
#54	def ask(self, question, user_id=None):
#55	"""
#56	Ask a question to the AI and store the relevant facts in memory
#57
#58	:param question: The question to ask the AI.
#59	:param user_id: Optional user ID to associate with the memory.
#60	"""
#61	# Start a streaming response request to the AI
#62	response = self.client.responses.create(
#63	model="gpt-4.1-nano-2025-04-14",
#64	instructions="You are a personal AI Tutor.",
#65	input=question,
#66	stream=True
#67	)
#68
#69	# Store the question in memory
#70	self.memory.add(question, user_id=user_id, metadata={"app_id": self.app_id})
#71
#72	# Print the response from the AI in real-time
#73	for event in response:
#74	if event.type == "response.output_text.delta":
#75	print(event.delta, end="")
#76
#77	def get_memories(self, user_id=None):
#78	"""
#79	Retrieve all memories associated with the given user ID.
#80
#81	:param user_id: Optional user ID to filter memories.
#82	:return: List of memories.
#83	"""
#84	return self.memory.get_all(user_id=user_id)
#85
#86	# Instantiate the PersonalAITutor
#87	ai_tutor = PersonalAITutor()
#88
#89	# Define a user ID
#90	user_id = "john_doe"
#91
#92	# Ask a question
#93	ai_tutor.ask("I am learning introduction to CS. What is queue? Briefly explain.", user_id=user_id)
#94	```
#95
#96	### Fetching Memories
#97
#98	You can fetch all the memories at any point in time using the following code:
#99
#100	```python
#101	memories = ai_tutor.get_memories(user_id=user_id)
#102	for m in memories['results']:
#103	print(m['memory'])
#104	```
#105
#106	## Key Points
#107
#108	- Initialization: The PersonalAITutor class is initialized with the necessary memory configuration and OpenAI client setup
#109	- Asking Questions: The ask method sends a question to the AI and stores the relevant information in memory
#110	- Retrieving Memories: The get_memories method fetches all stored memories associated with a user
#111
#112	## Conclusion
#113
#114	As the conversation progresses, Mem0's memory automatically updates based on the interactions, providing a continuously improving personalized learning experience. This setup ensures that the AI Tutor can offer contextually relevant and accurate responses, enhancing the overall educational process.
#115
#116	---
#117
#118	<CardGroup cols={2}>
#119	<Card title="Build a Mem0 Companion" icon="users" href="/cookbooks/essentials/building-ai-companion">
#120	Learn the foundations of memory-powered companions with production-ready patterns.
#121	</Card>
#122	<Card title="Travel Assistant with Mem0" icon="plane" href="/cookbooks/companions/travel-assistant">
#123	Build a travel companion that remembers preferences and past conversations.
#124	</Card>
#125	</CardGroup>
#126

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