AbstractIntelligence
AbstractIntelligence is a proactive Generative AI system built upon AbstractCore. This project aims to create an intelligent, autonomous AI agent capable of proactive reasoning, decision-making, and task execution.
Overview
AbstractIntelligence leverages the foundational capabilities of AbstractCore to build a sophisticated AI system that can:
- Proactively analyze situations and contexts
- Make intelligent decisions based on available information
- Execute complex tasks autonomously
- Learn and adapt from interactions and outcomes
Project Status
🚧 This project is currently in the initial development phase 🚧
This is a placeholder repository that will be developed into a full-featured proactive GenAI system.
Architecture
The system is designed with modularity and extensibility in mind, following SOLID principles and emphasizing:
- Clear separation of concerns
- Robust general-purpose logic
- Comprehensive testing frameworks
- Scalable and maintainable codebase
Installation
# Clone the repository
git clone https://github.com/lpalbou/AbstractIntelligence.git
cd AbstractIntelligence
# Install dependencies (when available)
pip install -e .
Usage
from abstractintelligence import AbstractIntelligenceCore
# Example usage (to be implemented)
ai = AbstractIntelligenceCore()
# ai.initialize()
# result = ai.process_task(task_description)
Development Principles
This project follows strict development principles:
- Intellectual Honesty: All solutions are thoroughly reasoned and validated
- Robust General-Purpose Logic: Solutions work for all inputs, not just test cases
- Modular Design: Clean, focused files with single responsibilities
- Comprehensive Testing: Clear separation between tests and implementation code
Contributing
Contributions are welcome! Please ensure all contributions follow the project's development principles and maintain the high standards of code quality.
License
[License to be determined]
Related Projects
- AbstractCore - The foundational framework this project builds upon
- AbstractCore.ai - Official website
This project is in active development. Documentation and features will be expanded as development progresses.
Metadata
Release files for abstractintelligence 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| abstractintelligence-0.1.0.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abstractintelligence-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / abstractintelligence-0.1.0.tar.gz
| Download URL | abstractintelligence-0.1.0.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
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No |
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twine/6.2.0 CPython/3.12.2
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Release files / abstractintelligence-0.1.0-py3-none-any.whl
| Download URL | abstractintelligence-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
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