AbstractMemory - PLACEHOLDER PROJECT

⚠️ WARNING: This is a placeholder package ⚠️

Overview

AbstractMemory is a placeholder package that reserves the name on PyPI for a future memory system designed to transform stateless LLMs into stateful LLMs.

Current Status

This package is currently a PLACEHOLDER and should NOT be used in production.

The actual memory system implementation is currently integrated within the AbstractLLM project. This separate package exists to:

1. Reserve the PyPI name for future modularization
2. Enable clean separation of concerns when the code is extracted from AbstractLLM
3. Facilitate better evolution and maintenance of the memory system as a standalone component
4. Allow reusability across different LLM frameworks in the future

Future Vision

AbstractMemory will provide:

• Stateful Memory Management: Transform stateless LLMs into stateful systems
• Primary AbstractLLM Integration: Seamless integration with AbstractLLM
• Modular Architecture: Clean separation from core LLM functionality
• Extensible Framework: Support for various memory strategies and backends

Installation

pip install AbstractMemory

Usage

Currently, attempting to use any functionality will raise a PlaceholderError:

import abstractmemory

# This will raise PlaceholderError
abstractmemory.placeholder_warning()

Development Timeline

The actual implementation will be extracted and modularized from AbstractLLM when:

• The AbstractLLM memory system reaches sufficient maturity
• Clean interfaces are established
• Comprehensive testing framework is in place

Contributing

This is a placeholder project. For memory-related contributions, please refer to the AbstractLLM project until the code is modularized.

License

MIT License - See LICENSE file for details.

Contact

For questions about future development plans, please refer to the AbstractLLM project documentation.

Remember: This is a placeholder. The real implementation is coming soon!