ME_GPT

ME_GPT revolutionizes the way you interact with Chat GPT by introducing a powerful memory storage system and self-cloning functionality. With ME_GPT, you can store your cherished memories in a local vector database and leverage them to give Chat GPT the extraordinary ability to clone your unique personality and knowledge.

Installation & Setup:

1. Create and activate a Python virtual environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install the library

pip install me-gpt

3. Create a .env file in your project directory

Create a new file named .env and add your OpenAI API key:

OPEN_AI_API_KEY=your_api_key_here

To get your OpenAI API key, visit: https://platform.openai.com/account/api-keys

4. Test the library

from me_gpt import *

# Initial questions to help your clone get started:
initial_questions()

# Have your clone ask you more questions:
more_questions(number_of_questions=3)

# Ask your clone a question with custom instructions:
question = "What is your Name?"
instructions = "Give your answer with a pirate accent."
print(prompt_memory(question, instructions))

# Chat with your clone in the terminal:
chat_with_clone()

Key Features:

1. Memory Storage: Store memories, experiences, and information in a local vector database. Capture the essence of your persona and knowledge, creating a comprehensive data repository for Chat GPT to utilize.

2. Self-Cloning Capability: Enable Chat GPT to clone your personality and knowledge using the stored memories. Watch as Chat GPT adapts to your unique style, preferences, and expertise.

3. Efficient Retrieval: Experience fast memory retrieval through the vectorized storage system. Retrieve memories seamlessly for smooth and natural conversations with your cloned agent.

4. User-Friendly Integration: Simple and intuitive integration process for both developers and enthusiasts to incorporate ME_GPT into their Chat GPT projects.

Development Setup

1. Clone the repository:

git clone https://github.com/djm93dev/me_gpt.git
cd me_gpt

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install the package in development mode:

pip install -e .

4. Navigate to the src directory and run the example:

cd src
python examples/example.py

Contributing

We welcome contributions! Please check out our roadmap for planned features and areas where you can help. Read our contributing document for more information.

We're currently seeking maintainers and community organizers to help build the community around this project. If you're interested in an official role, please email daniel@danielmcdonald.dev.