OpenAI Chatbot Memory

A self-hosted memory system for AI chatbots with privacy features.

Features

• Secure local memory storage with end-to-end encryption
• Contextual memory management with vector similarity search
• Password protection with Argon2id hashing
• Extensible architecture for custom memory storage implementations

Installation

# Clone the repository
git clone https://github.com/yourusername/openai-chatbot-memory.git
cd openai-chatbot-memory

# Install dependencies
pip install -r requirements.txt

Testing

The project uses pytest for testing. We have separate test suites for different components:

• test_hashing.py: Tests for the security hashing module
• test_secure_memory.py: Tests for the secure memory implementation
• test_embedding_memory.py: Tests for the vector embedding memory system

Running Tests

You can run the tests using the provided script:

# Make the script executable
chmod +x run_tests.sh

# Run all tests
./run_tests.sh all

# Run specific test file
./run_tests.sh tests/test_secure_memory.py

Or you can run pytest directly:

# Run all tests
python -m pytest

# Run specific test file with verbosity
python -m pytest tests/test_hashing.py -v

Workflow Testing

For workflow testing (similar to CI environment):

# Make the script executable
chmod +x workflow_test.sh

# Run workflow test
./workflow_test.sh

# Run workflow test with dependency installation
./workflow_test.sh install

Project Structure

openai-chatbot-memory/
├── memory/                  # Memory management modules
│   ├── __init__.py
│   ├── secure_memory.py     # Core secure memory implementation
│   └── embedding_memory.py  # Vector similarity memory extension
├── security/                # Security utilities
│   ├── __init__.py
│   ├── encryption.py        # Encryption utilities
│   └── hashing.py           # Password hashing utilities
├── tests/                   # Test suite
│   ├── __init__.py
│   ├── test_hashing.py
│   ├── test_secure_memory.py
│   └── test_embedding_memory.py
├── requirements.txt         # Project dependencies
├── pyproject.toml           # Project configuration
├── README.md                # This file
└── run_tests.sh             # Test runner script

License

MIT

to do: embeddings and semantic search