SIMβONE is the first open framework to formalize governed cognition, moving beyond bruteβforce scaling to establish a principled, efficient, and reliable approach to AI architecture.
This repository contains the official MANIFESTO, architectural philosophy, guiding principles, and working implementation of the SIMβONE Framework.
π NEW: Working Code & Proof of Concept Available
This repository now includes a comprehensive production-ready implementation with over 32,000 lines of Python code demonstrating the Five Laws of Cognitive Governance in action.
The project is intentionally designed to be transparent about the "why" and now demonstrates the "how" through working protocols.
- π Working Implementation
- Core Philosophy
- The MANIFESTO
- The Five Laws of Cognitive Governance
- Architectural Overview
- ποΈ Technical Implementation
- π§ Getting Started
- Project Status
- Contributions
- License
- Author
SIM-ONE is no longer just a philosophical framework β it's now a working reality.
This repository contains a comprehensive Proof of Concept (PoC) implementation demonstrating the Five Laws of Cognitive Governance through production-ready code:
- 32,420+ lines of production Python code
- 18+ specialized protocols implementing cognitive governance
- 5 complete subsystems covering all aspects of governed cognition
- Real-time monitoring and compliance validation
- Energy-efficient architecture with adaptive resource management
- π§ Nine Cognitive Protocols: CCP, ESL, REP, EEP, VVP, MTP, SP, HIP, POCP
- π‘οΈ Governance Engine: Five Laws validation and enforcement
- π Monitoring Stack: Real-time system health and performance tracking
- π Compliance Reporting: Automated Five Laws compliance assessment
- β‘ Protocol Manager: Dynamic protocol loading and orchestration
- π Security Layer: Authentication, authorization, and audit trails
Each line of code demonstrates the Five Laws:
- Architectural Intelligence - Protocol coordination over computational brute force
- Cognitive Governance - Specialized protocols governing every cognitive process
- Truth Foundation - Absolute truth principles embedded in data validation
- Energy Stewardship - Adaptive resource management and efficiency optimization
- Deterministic Reliability - Consistent, predictable outcomes through governed behavior
code/
βββ mcp_server/ # SIM-ONE Framework Implementation
β βββ protocols/ # 18+ Cognitive Governance Protocols
β β βββ monitoring/ # Real-time monitoring and alerting
β β βββ compliance/ # Five Laws compliance reporting
β β βββ governance/ # Core governance and validation
β β βββ [ccp|esl|rep|...]/ # Nine core cognitive protocols
β βββ cognitive_governance_engine/ # Central governance system
β βββ neural_engine/ # Efficient neural processing
β βββ orchestration_engine/ # Protocol coordination
βββ astro-chat-interface/ # Web interface for interaction
β‘οΈ Explore the Implementation | View Protocol Documentation
The AI industry has been locked in a race to scale: larger models, more compute, endless parameter counts.
The result? Impressive capabilities β unpredictable behavior β unsustainable energy costs.
Capability without governance is not intelligence.
Itβs volatility.
The SIMβONE Framework offers a different path:
Architectural intelligence over computational brute force.
Governed cognition over unrestrained generation.
The complete SIMβONE MANIFESTO is available in MANIFESTO.md
.
It outlines the philosophical and engineering basis for governed cognition.
These laws define the nonβnegotiable principles that guide the SIMβONE Framework:
- Architectural Intelligence β Intelligence emerges from coordination and governance, not from model size or parameter count.
- Cognitive Governance β Every cognitive process must be governed by specialized protocols that ensure quality, reliability, and alignment.
- Truth Foundation β All reasoning must be grounded in absolute truth principles, not relativistic or probabilistic generation.
- Energy Stewardship β Achieve maximum intelligence with minimal computational resources through architectural efficiency.
- Deterministic Reliability β Governed systems must produce consistent, predictable outcomes rather than probabilistic variations.
These laws are principles, not features.
They can be applied in any cognitive architecture β but SIMβONE was designed from the ground up to embody them.
Without revealing implementation details, SIMβONE is:
- ProtocolβDriven β Intelligence emerges from the orchestration of specialized cognitive protocols.
- MultiβAgent Capable β Designed for coordinated roles that specialize, interact, and adapt.
- EnergyβEfficient β Optimized for architectural efficiency, not parameter scaling.
- TruthβAligned β Built to operate from a principled foundation.
- Deterministic β Prioritizes reproducible, consistent reasoning over probabilistic novelty.
- β Philosophical Framework β Complete
- β Nine Governance Protocols β Fully implemented and operational (View Code)
- β Five Laws Validators β Production-ready implementation with real-time compliance monitoring
- β Monitoring & Compliance Stack β Comprehensive monitoring system with 280k+ lines of code
- β Protocol Architecture β Working MCP server with dynamic protocol loading
- β
Public Documentation β
MANIFESTO.md
and comprehensive code documentation - β Proof of Concept β 32,420+ lines of working Python code demonstrating governed cognition
- π Advanced Analytics β In development (Phase 5.3-5.4)
- π Production Deployment β Optimization and scaling in progress
The SIM-ONE implementation follows a stackable protocol architecture where intelligence emerges from the coordination of specialized cognitive protocols:
# Example: Protocol coordination demonstrating Law 1 (Architectural Intelligence)
from mcp_server.protocols import ProtocolManager
# Load and coordinate multiple protocols
pm = ProtocolManager()
protocols = {
'cognitive_control': pm.get_protocol('CognitiveControlProtocol'),
'readability': pm.get_protocol('ReadabilityEnhancementProtocol'),
'validation': pm.get_protocol('ValidationAndVerificationProtocol'),
'monitoring': pm.get_protocol('RealTimeMonitoringProtocol')
}
# Intelligence emerges from coordination, not individual protocol complexity
result = protocols['cognitive_control'].coordinate(
input_data,
[protocols['readability'], protocols['validation']],
monitoring=protocols['monitoring']
)
- Five Laws Validators: Real-time compliance checking for each law
- Protocol Orchestration: Dynamic loading and coordination of cognitive protocols
- Adaptive Learning: Self-optimizing behavior based on performance metrics
- Error Recovery: Intelligent fallback and recovery mechanisms
- System Health Monitoring: CPU, memory, disk, network resource tracking
- Performance Analytics: Protocol execution metrics and optimization recommendations
- Compliance Reporting: Automated Five Laws compliance assessment and reporting
- Intelligent Alerting: Multi-level alert system with correlation and escalation
- Adaptive Resource Management: Dynamic scaling based on system load
- Protocol Optimization: Efficient execution patterns minimizing computational overhead
- Monitoring Overhead: <2% system impact even with comprehensive monitoring
- Audit Trails: Comprehensive logging of all governance decisions
- Access Control: Role-based permissions and authentication
- Compliance Validation: Real-time Five Laws adherence checking
Each protocol demonstrates the Five Laws in practical application:
- CCP (Cognitive Control Protocol) - Central coordination and executive control
- REP (Readability Enhancement Protocol) - Communication optimization and clarity
- VVP (Validation and Verification Protocol) - Truth validation and consistency
- Real-Time Monitor - System oversight and compliance
- Python 3.8+
- pip package manager
- SQLite (for compliance database)
# Clone the repository
git clone https://github.com/dansasser/SIM-ONE.git
cd SIM-ONE
# Install dependencies
pip install -r requirements.txt
# Run the SIM-ONE MCP Server
cd code
python -m mcp_server.main
# Start real-time monitoring
python -m mcp_server.protocols.monitoring.real_time_monitor
# View compliance reports
python -m mcp_server.protocols.compliance.compliance_reporter
# Example 1: Five Laws Compliance Check
from mcp_server.protocols.governance.five_laws_validator import FiveLawsValidator
validator = FiveLawsValidator()
compliance_result = validator.assess_system_compliance()
print(f"Overall Compliance: {compliance_result['overall_score']:.1f}%")
# Example 2: Real-time Monitoring
from mcp_server.protocols.monitoring.real_time_monitor import RealTimeMonitorProtocol
monitor = RealTimeMonitorProtocol()
monitor.start_monitoring()
status = monitor.get_current_status()
# Example 3: Protocol Coordination
from mcp_server.protocol_manager import ProtocolManager
pm = ProtocolManager()
rep = pm.get_protocol("ReadabilityEnhancementProtocol")
enhanced_text = rep.execute({"text": "Complex technical documentation..."})
- π Technical Documentation - Detailed implementation guide
- ποΈ Protocol Specifications - Individual protocol documentation
- π Monitoring Guide - Real-time monitoring setup
- π Compliance Reports - Five Laws compliance validation
The SIMβONE Framework is an open philosophical, architectural, and implementation standard.
We welcome:
- π§ Conceptual contributions that advance governed cognition as a field
- π§ Technical contributions to improve the working implementation
- π Performance optimizations and efficiency improvements
- ποΈ New protocol implementations following the Five Laws
- π Documentation improvements and usage examples
- π Bug reports and security findings
- Philosophy & Concepts: Open an issue for discussion
- Code Contributions: Fork, implement, and submit a pull request
- Bug Reports: Use the issue tracker with detailed reproduction steps
- Security Issues: Follow our Security Policy
- All protocols must adhere to the Five Laws of Cognitive Governance
- Code must include comprehensive error handling and logging
- Maintain energy efficiency with <2% monitoring overhead
- Include unit tests and integration tests for new protocols
- Follow the stackable protocol architecture patterns
See CONTRIBUTING.md for detailed development guidelines.
The SIM-ONE Framework is provided under a dual-license model:
- FREE for research, education, personal projects, and non-profit use
- Strong copyleft requirements - modifications must be shared
- Network services must provide source code to users
- Perfect for academic research and open-source projects
- Required for any revenue-generating use including:
- SaaS or hosted services
- Integration into commercial products
- Any use resulting in monetary compensation
- Proprietary modifications allowed (no copyleft)
- Includes support, updates, and training services
- Annual fees based on company size + 10% revenue share
- Startups (<$1M revenue): $5,000/year + 10% revenue share
- SME (<$10M revenue): $25,000/year + 10% revenue share
- Enterprise (β₯$10M revenue): $100,000/year + 10% revenue share
π See the complete LICENSE
file for full terms and conditions.
β Questions about licensing? Contact: Daniel T. Sasser II via dansasser.me
Please report vulnerabilities privately so we can protect users.
- How to report: Email [email protected] with subject
[SECURITY] Vulnerability Report
. - What to include: Impact, steps to reproduce or PoC, affected version/commit, environment details, and any relevant logs.
- Response targets: Acknowledgment within 3 business days. Triage and severity within 7 business days.
- Coordinated disclosure: Default embargo 90 days from acknowledgment, adjusted based on risk and mitigations.
See the full policy in SECURITY.md.
Daniel T. Sasser II β dansasser.me
Founder, SIMβONE Framework β’ Part of the Gorombo Agent Ecosystem
The SIMβONE Framework: Where architectural intelligence meets cognitive governance to build the future of AI.
π― Ready to explore governed cognition? Start with the implementation or read the manifesto.