AbstractAgent

Name	AbstractAgent JSON
Version	0.1.0 JSON
	download
home_page	None
Summary	Placeholder for autonomous stateful agents with advanced memory - Future modularization of AbstractLLM agent functionality
upload_time	2025-09-19 10:23:32
maintainer	None
docs_url	None
author	None
requires_python	>=3.8
license	None
keywords	ai agent llm autonomous memory stateful placeholder
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            # 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

```bash
pip install AbstractAgent
```

## Usage (Placeholder)

```python
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](https://github.com/abstractllm/AbstractLLM) - The parent project containing current agent implementations

## Contact

For questions or discussions about this project's development:
- Email: contact@abstractagent.dev
- Issues: [GitHub Issues](https://github.com/abstractagent/AbstractAgent/issues)

---

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

            

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