abstractagent 0.1.0

Placeholder for autonomous stateful agents with advanced memory - Future modularization of AbstractLLM agent functionality

AbstractAgent

🚧 PLACEHOLDER PACKAGE 🚧

This is a placeholder package to secure the "AbstractAgent" name on PyPI for future development.

Overview

AbstractAgent will be a Python library for creating autonomous stateful agents with advanced memory capabilities. This package represents a planned modularization of agent functionality currently present in the AbstractLLM project, providing better separation of concerns and enhanced evolution capabilities.

Current Status

This package is currently a PLACEHOLDER with no functional implementation.

Planned Features

When fully implemented, AbstractAgent will provide:

• 🤖 Autonomous Stateful Agents: Self-managing agents that maintain state across interactions
• 🧠 Advanced Memory Systems: Sophisticated memory management for long-term context retention
• 🏗️ Modular Architecture: Clean separation of concerns for better maintainability
• 🔄 Enhanced Evolution: Improved capabilities for agent learning and adaptation
• 🔌 AbstractLLM Integration: Seamless integration with AbstractLLM backends

Development Timeline

• Phase 1 (Current): Placeholder package to secure PyPI name ✅
• Phase 2 (Planned): Design and architecture planning
• Phase 3 (Planned): Core agent implementation
• Phase 4 (Planned): Memory system implementation
• Phase 5 (Planned): Integration and testing

Installation

pip install AbstractAgent

Usage (Placeholder)

from abstractagent import AbstractAgent

# This is a placeholder - no functional implementation yet
agent = AbstractAgent()
print(agent.get_info())

Contributing

This project is in its early planning phase. Contribution guidelines will be established as the project develops.

License

MIT License - See LICENSE file for details.

Related Projects

• AbstractLLM - The parent project containing current agent implementations

Contact

For questions or discussions about this project's development:

• Email: [e-mail]
• Issues: GitHub Issues

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Note: This is a placeholder package. The actual implementation will be developed as the project evolves from the AbstractLLM codebase.