https://github.com/dansasser/sim-one
The SIM-ONE Framework: World's first architecture for governed cognition. Achieves AGI-level capabilities through 9-protocol cognitive governance, delivering 67% energy efficiency improvements over traditional LLMs. Features a morally ethical foundation and architectural intelligence.
https://github.com/dansasser/sim-one
agi ai governed-cognition protocol-oriented-programming
Last synced: 23 days ago
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The SIM-ONE Framework: World's first architecture for governed cognition. Achieves AGI-level capabilities through 9-protocol cognitive governance, delivering 67% energy efficiency improvements over traditional LLMs. Features a morally ethical foundation and architectural intelligence.
- Host: GitHub
- URL: https://github.com/dansasser/sim-one
- Owner: dansasser
- License: other
- Created: 2025-08-01T16:04:51.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-10-01T03:38:07.000Z (5 months ago)
- Last Synced: 2025-10-01T05:38:36.416Z (5 months ago)
- Topics: agi, ai, governed-cognition, protocol-oriented-programming
- Language: Python
- Homepage: https://dansasser.me/posts/the-sim-one-manifesto-a-new-architecture-for-governed-cognition/
- Size: 59.8 MB
- Stars: 10
- Watchers: 8
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Authors: AUTHORS.md
- Agents: agents.md
Awesome Lists containing this project
README
# The SIM-ONE Framework: A New Architecture for Governed Cognition
[](./)
[](./code/)
[](./code/)
[](./code/mcp_server/protocols/)
[](LICENSE)
[](LICENSE.md#6-how-to-obtain-a-commercial-license)
[](SECURITY.md)
[](https://dansasser.me/)
[](./)
[](./)
⚠️ **Important Naming Note**: The `mcp_server` directory in this repository predates the industry-standard "Model Context Protocol" (MCP). In SIM-ONE, "mcp_server" refers to the **"Multi-Protocol Cognitive Platform"** or **"Modular Cognitive Platform"** - the core orchestrator and agent system. This is NOT an MCP tool registry in the modern sense. Directory renaming is planned for future compatibility (see [MIGRATION_PLAN.md](MIGRATION_PLAN.md)), but remains unchanged now to preserve link/SEO integrity.
---
**SIM‑ONE is the first open framework to formalize *governed cognition*, moving beyond brute‑force 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 SIM‑ONE Framework.
🚀 **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.
---
## Table of Contents
- [🚀 Working Implementation](#-working-implementation)
- [Case Studies](#case-studies)
- [Core Philosophy](#core-philosophy)
- [The MANIFESTO](#the-manifesto)
- [The Five Laws of Cognitive Governance](#the-five-laws-of-cognitive-governance)
- [Architectural Overview](#architectural-overview)
- [🏗️ Technical Implementation](#️-technical-implementation)
- [🔧 Getting Started](#-getting-started)
- [Project Status](#project-status)
- [Contributions](#contributions)
- [License](#license)
- [Author](#author)
---
## 🚀 Working Implementation
**SIM-ONE is no longer just a philosophical framework — 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:
### 📊 **Implementation Statistics**
- **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
### 🏗️ **Core Systems Implemented**
- **🧠 Nine Cognitive Protocols**: CCP, ESL, REP, EEP, VVP, MTP, SP, HIP, POCP
- **🛡️ Governance Engine**: Five Laws validation and enforcement
- **📊 Monitoring Stack**: Real-time system health and performance tracking
- **📋 Compliance Reporting**: Automated Five Laws compliance assessment
- **⚡ Protocol Manager**: Dynamic protocol loading and orchestration
- **🔐 Security Layer**: Authentication, authorization, and audit trails
### 🎯 **Five Laws in Action**
Each line of code demonstrates the Five Laws:
1. **Architectural Intelligence** - Protocol coordination over computational brute force
2. **Cognitive Governance** - Specialized protocols governing every cognitive process
3. **Truth Foundation** - Absolute truth principles embedded in data validation
4. **Energy Stewardship** - Adaptive resource management and efficiency optimization
5. **Deterministic Reliability** - Consistent, predictable outcomes through governed behavior
### 📁 **Repository Structure**
```
code/
├── mcp_server/ # SIM-ONE Framework Implementation
│ ├── protocols/ # 18+ Cognitive Governance Protocols
│ │ ├── monitoring/ # Real-time monitoring and alerting
│ │ ├── compliance/ # Five Laws compliance reporting
│ │ ├── governance/ # Core governance and validation
│ │ └── [ccp|esl|rep|...]/ # Nine core cognitive protocols
│ ├── cognitive_governance_engine/ # Central governance system
│ ├── neural_engine/ # Efficient neural processing
│ └── orchestration_engine/ # Protocol coordination
└── astro-chat-interface/ # Web interface for interaction
```
**➡️ [Explore the Implementation](./code/) | [View Protocol Documentation](./code/mcp_server/protocols/)**
---
## 🛠️ Tool Entrypoints for AI Agent Integration
**SIM-ONE protocols are now available as standalone CLI tools for integration with autonomous agents like Paper2Agent.**
### Five Laws Governance for Any AI Response
Validate any AI-generated response against the Five Laws of Cognitive Governance:
```bash
# Validate a response
echo "AI response text" | python code/tools/run_five_laws_validator.py
# Generate a governed response
python code/tools/run_governed_response.py --prompt "Explain quantum mechanics"
# Run complete governed workflow
python code/tools/run_cognitive_workflow.py --input query.txt --workflow full_governance
```
### Available Tools
- **Governance**: Five Laws Validator, Governed Response Generator
- **Protocols**: REP (Reasoning), ESL (Emotional Intelligence), VVP (Validation), CCP (Cognitive Control)
- **Workflows**: Writing Team, Reasoning Pipeline, Analysis Workflow
**📖 Full Integration Guide**: [PAPER2AGENT_INTEGRATION.md](PAPER2AGENT_INTEGRATION.md)
**🔧 Tool Catalog**: [code/tools/README.md](code/tools/README.md)
**📋 Tool Manifest**: [code/tools/tools_manifest.json](code/tools/tools_manifest.json)
### Why This Matters for Paper2Agent
Enable autonomous AI systems to:
- ✅ **Self-govern** their outputs before returning to users
- ✅ **Validate** responses against all Five Laws of Cognitive Governance
- ✅ **Detect** truth foundation violations and probabilistic drift
- ✅ **Ensure** consistent, governed reasoning processes
- ✅ **Optimize** resource efficiency and energy stewardship
**Quick Start for Paper2Agent:**
```python
import subprocess, json
# Validate your AI response
result = subprocess.run(
["python", "code/tools/run_five_laws_validator.py", "--text", "your response"],
capture_output=True, text=True
)
validation = json.loads(result.stdout)
if validation["pass_fail_status"] == "PASS":
print(f"✅ Governed response (Score: {validation['scores']['overall_compliance']:.1f}%)")
else:
print("❌ Apply recommendations:", validation["recommendations"])
```
---
## Case Studies
SIM-ONE governance is being exercised in applied scenarios that demonstrate how the framework behaves in real deployments.
- **Systematic AI Governance in Practice** — Shows how Five Laws compliance can be quantified and iteratively improved when retrofitting Claude Sonnet 4, lifting measured adherence from 40% to 100% while staying enterprise-ready. [Read the case study](https://dansasser.github.io/SIM-ONE/case-studies/SYSTEMATIC_AI_GOVERNANCE_IN_PRACTICE)
- **Dual-Channel Semantic Fingerprint Shaping** — Explores a dual-ingestion strategy that shapes AI knowledge graphs, reducing semantic association latency from roughly 60 days to 7 days and highlighting governance implications for narrative control. [Read the case study](https://dansasser.github.io/SIM-ONE/case-studies/DUEL_CHANNEL_SEMANTIC_FINGERPRINT_SHAPING)
---
## Core Philosophy
The AI industry has been locked in a race to scale: larger models, more compute, endless parameter counts.
The result? **Impressive capabilities — unpredictable behavior — unsustainable energy costs.**
**Capability without governance is not intelligence.**
It’s volatility.
The SIM‑ONE Framework offers a **different path**:
Architectural intelligence over computational brute force.
Governed cognition over unrestrained generation.
---
## The MANIFESTO
The complete SIM‑ONE MANIFESTO is available in [`MANIFESTO.md`](./MANIFESTO.md).
It outlines the philosophical and engineering basis for governed cognition.
---
## The Five Laws of Cognitive Governance
These laws define the non‑negotiable principles that guide the SIM‑ONE Framework:
1. **Architectural Intelligence** – Intelligence emerges from coordination and governance, not from model size or parameter count.
2. **Cognitive Governance** – Every cognitive process must be governed by specialized protocols that ensure quality, reliability, and alignment.
3. **Truth Foundation** – All reasoning must be grounded in absolute truth principles, not relativistic or probabilistic generation.
4. **Energy Stewardship** – Achieve maximum intelligence with minimal computational resources through architectural efficiency.
5. **Deterministic Reliability** – 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 — but SIM‑ONE was designed from the ground up to embody them.
---
## Architectural Overview
Without revealing implementation details, SIM‑ONE is:
- **Protocol‑Driven** – Intelligence emerges from the orchestration of specialized cognitive protocols.
- **Multi‑Agent Capable** – Designed for coordinated roles that specialize, interact, and adapt.
- **Energy‑Efficient** – Optimized for architectural efficiency, not parameter scaling.
- **Truth‑Aligned** – Built to operate from a principled foundation.
- **Deterministic** – Prioritizes reproducible, consistent reasoning over probabilistic novelty.
---
## Project Status
- ✅ **Philosophical Framework** – Complete
- ✅ **Nine Governance Protocols** – **Fully implemented and operational** ([View Code](./code/mcp_server/protocols/))
- ✅ **Five Laws Validators** – **Production-ready implementation** with real-time compliance monitoring
- ✅ **Monitoring & Compliance Stack** – **Comprehensive monitoring system** with 280k+ lines of code
- ✅ **Protocol Architecture** – **Working MCP server** with dynamic protocol loading
- ✅ **Public Documentation** – [`MANIFESTO.md`](./MANIFESTO.md) and comprehensive code documentation
- ✅ **Proof of Concept** – **32,420+ lines of working Python code** demonstrating governed cognition
- 🔄 **Advanced Analytics** – In development (Phase 5.3-5.4)
- 🔄 **Production Deployment** – Optimization and scaling in progress
---
## 🏗️ Technical Implementation
### **Architecture Overview**
The SIM-ONE implementation follows a **stackable protocol architecture** where intelligence emerges from the coordination of specialized cognitive protocols:
```python
# 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']
)
```
### **Key Technical Features**
#### 🧠 **Cognitive Governance Engine**
- **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
#### 📊 **Real-Time Monitoring & Compliance**
- **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
#### ⚡ **Energy-Efficient Architecture**
- **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
#### 🔒 **Security & Governance**
- **Audit Trails**: Comprehensive logging of all governance decisions
- **Access Control**: Role-based permissions and authentication
- **Compliance Validation**: Real-time Five Laws adherence checking
### **Protocol Implementation Examples**
Each protocol demonstrates the Five Laws in practical application:
- **[CCP (Cognitive Control Protocol)](./code/mcp_server/protocols/ccp/)** - Central coordination and executive control
- **[REP (Readability Enhancement Protocol)](./code/mcp_server/protocols/rep/)** - Communication optimization and clarity
- **[VVP (Validation and Verification Protocol)](./code/mcp_server/protocols/vvp/)** - Truth validation and consistency
- **[Real-Time Monitor](./code/mcp_server/protocols/monitoring/)** - System oversight and compliance
---
## 🔧 Getting Started
### **Prerequisites**
- Python 3.8+
- pip package manager
- SQLite (for compliance database)
### **Quick Start**
```bash
# 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
```
### **Protocol Examples**
```python
# 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..."})
```
### **Documentation**
- 📖 **[Technical Documentation](./code/README.md)** - Detailed implementation guide
- 🏗️ **[Protocol Specifications](./protocols/)** - Individual protocol documentation
- 📊 **[Monitoring Guide](./code/mcp_server/protocols/monitoring/)** - Real-time monitoring setup
- 📋 **[Compliance Reports](./code/mcp_server/protocols/compliance/)** - Five Laws compliance validation
---
## Contributions
The SIM‑ONE Framework is an **open philosophical, architectural, and implementation standard**.
We welcome:
- 🧠 **Conceptual contributions** that advance governed cognition as a field
- 🔧 **Technical contributions** to improve the working implementation
- 📊 **Performance optimizations** and efficiency improvements
- 🏗️ **New protocol implementations** following the Five Laws
- 📖 **Documentation improvements** and usage examples
- 🐛 **Bug reports** and **security findings**
### **How to Contribute**
1. **Philosophy & Concepts**: Open an issue for discussion
2. **Code Contributions**: Fork, implement, and submit a pull request
3. **Bug Reports**: Use the issue tracker with detailed reproduction steps
4. **Security Issues**: Follow our [Security Policy](./SECURITY.md)
### **Development Guidelines**
- 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](./CONTRIBUTING.md) for detailed development guidelines.**
---
## License
The SIM-ONE Framework is provided under a **dual-license model**:
### 🆓 **Non-Commercial Use (AGPL v3)**
- **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
### 💼 **Commercial Use (Paid License)**
- 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
### 📋 **License Summary**
- **Startups** (<$1M revenue): $5,000/year + 10% revenue share
- **SME** (<$10M revenue): $25,000/year + 10% revenue share
- **Enterprise** (≥$10M revenue): $100,000/year + 10% revenue share
**📄 See the complete [`LICENSE`](./LICENSE) file for full terms and conditions.**
**❓ Questions about licensing?** Contact: **Daniel T. Sasser II** via [dansasser.me](https://dansasser.me)
---
## Security
Please report vulnerabilities privately so we can protect users.
- **How to report:** Email **security@gorombo.com** 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](./SECURITY.md).
---
## Author
**Daniel T. Sasser II** — [dansasser.me](https://dansasser.me)
Founder, **SIM‑ONE Framework** • [Part of the Gorombo Agent Ecosystem](https://gorombo.com)
---
*The SIM‑ONE Framework: Where architectural intelligence meets cognitive governance to build the future of AI.*
**🎯 Ready to explore governed cognition? [Start with the implementation](./code/) or [read the manifesto](./MANIFESTO.md).**