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Apps with Memory ·Intermediate

LLM App Personalized Memory

About this app

This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.

  • Complete open-source code
  • Step-by-step tutorial

Technical sheet

Category
Apps with Memory
Difficulty
Intermediate
Models
OpenAI
Frameworks
-
Runs locally?
Needs cloud APIs
Required keys
OPENAI_API_KEY

License Apache-2.0 · content curated and maintained by Doutor AI.

Full tutorial

🧠 LLM App with Memory

This Streamlit app is an AI-powered chatbot that uses OpenAI's GPT-4o model with a persistent memory feature. It allows users to have conversations with the AI while maintaining context across multiple interactions.

Features

  • Utilizes OpenAI's GPT-4o model for generating responses
  • Implements persistent memory using Mem0 and Qdrant vector store
  • Allows users to view their conversation history
  • Provides a user-friendly interface with Streamlit

How to get Started?

  1. Clone the GitHub repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Ensure Qdrant is running:

The app expects Qdrant to be running on localhost:6333. Adjust the configuration in the code if your setup is different.

docker pull qdrant/qdrant

docker run -p 6333:6333 -p 6334:6334 \
    -v $(pwd)/qdrant_storage:/qdrant/storage:z \
    qdrant/qdrant
  1. Run the Streamlit App
streamlit run llm_app_memory.py

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