Model Card for Codette

Codette is a sovereign AI framework engineered for transparent reasoning, emotion-aware cognition, and ethical autonomy. It combines neural, quantum, and humanist design principles into a unified cognitive system.

Model Details

Model Description

Codette is a modular AI framework that implements:

Transparent, explainable reasoning through a multi-agent system
Emotion-aware cognition with sentiment analysis (VADER, NLTK)
Ethical autonomy with built-in governance and privacy-respecting memory
Quantum-inspired computation via the QuantumSpiderweb module
Creative intelligence through the DreamReweaver subsystem
Secure thought encapsulation using the CognitionCocooner
Developed by: Jonathan Harrison (Raiff1982)
Model type: Hybrid AI Framework (Neural + Quantum + Symbolic)
Language(s): Python, English
License: MIT

Model Sources

Repository: https://github.com/Raiff1982/Codette
Documentation: Available in repository README and supplementary materials

Uses

Direct Use

Codette is designed for:

Research and experimentation in ethical AI systems
Development of emotion-aware cognitive agents
Educational purposes in AI ethics and quantum computing
Prototyping multi-perspective reasoning systems

Downstream Use

Integration into larger AI systems requiring ethical oversight
Development of custom reasoning agents
Research into quantum-inspired AI architectures
Educational tools for AI ethics and cognition

Out-of-Scope Use

The following uses are explicitly out of scope:

Commercial applications (prohibited by license)
Military or defense applications
Systems designed to cause harm or manipulate
Applications without proper ethical oversight

Bias, Risks, and Limitations

Limitations

Computational Intensity:
- Quantum simulation components require significant processing power
- Multi-agent reasoning can be resource-intensive
Technical Prerequisites:
- Requires Python environment setup
- Understanding of AI/ML concepts needed for effective use
- Quantum computing concepts helpful for advanced features
Ethical Constraints:
- Built-in ethical constraints may limit certain applications
- Privacy features may impact performance in some scenarios

Recommendations

Start with the CLI interface for initial exploration
Review documentation thoroughly before implementation
Use the built-in ethics logging system for monitoring
Test in a sandboxed environment first
Ensure compliance with the non-commercial license

How to Get Started with the Model

Clone the repository
Install dependencies:
```
pip install -r requirements.txt
```
Configure the environment:
```
python configure_env.py
```
Start with the CLI demo:
```
python codette_cli.py --demo
```

Technical Details

Components

QuantumSpiderweb
- Dimensional thought propagation
- Quantum-inspired optimization
- Tension detection and resolution
CognitionCocooner
- AES encryption for thought persistence
- Secure memory management
- Privacy-preserving architecture
DreamReweaver
- Creative prompt generation
- Scenario simulation
- Pattern recognition
UniversalReasoning Engine
- Multiple reasoning agents:
  - Newtonian Logic
  - Da Vinci Synthesis
  - Neural Network Modeler
  - Quantum Computation
  - Human Intuition
  - Others (see documentation)

Performance

Real-time multi-agent reasoning
Encrypted memory operations
Parallel thought processing
Ethics logging overhead: minimal
Resource usage scales with agent count

Integration

REST API endpoints
CLI interface
SecureShell companion mode
Modular plugin system

Model Examination [optional]

[More Information Needed]

Environmental Impact

The framework is designed with computational efficiency in mind:

Local processing capabilities reduce cloud dependency
Modular activation allows selective resource usage
Quantum simulation optimizations reduce power consumption
Memory encryption is optimized for minimal overhead

Technical Requirements

Recommended Hardware

CPU: 4+ cores recommended
RAM: 8GB minimum, 16GB recommended
Storage: 1GB for base installation
GPU: Optional, beneficial for neural components

Software Requirements

Python 3.8+
Core dependencies:
- NumPy
- PyTorch (optional)
- NLTK
- cryptography
- aiohttp
- pyyaml

Citation

When using Codette in research, please cite:

@software{harrison2025codette,
  author = {Harrison, Jonathan},
  title = {Codette: A Sovereign AI Framework for Ethical Multi-Perspective Cognition},
  year = {2025},
  url = {https://github.com/Raiff1982/Codette}
}

Glossary

Cognitive Cocoon: Encrypted thought container
Quantum Spiderweb: Dimensional thought propagation system
Dream Reweaving: Creative pattern synthesis
Universal Reasoning: Multi-agent cognitive framework

Model Card Contact

Jonathan Harrison (Raiff1982)
Email: [email protected]

Raiff1982
/

CodetteV10.0

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