SIM-ONE Framework Changelog
All notable changes to the SIM-ONE Framework will be documented in this file.
The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.
[Unreleased]
Added - Phase 22: Paper2Agent Integration (2025-01-10)
Naming Clarification & Migration Strategy
- mcp_server Naming Clarification - Added prominent notices in all READMEs explaining that
mcp_server refers to SIM-ONE’s “Multi-Protocol Cognitive Platform”, not the industry-standard Model Context Protocol
- Migration Plan - Comprehensive 6-12 month roadmap for eventual
mcp_server → agent_core transition with full backward compatibility
- Internal Transition Guide - Developer documentation for gradual terminology updates in new code
- Five Laws Evaluator Library (
code/tools/lib/five_laws_evaluator.py) - 500-line unified evaluation engine for validating any text against all Five Laws of Cognitive Governance
- Five Laws Validator CLI (
code/tools/run_five_laws_validator.py) - 350-line command-line tool enabling Paper2Agent and other AI systems to self-govern their outputs
- Supports
--text, --file, and stdin input methods
- Configurable strictness levels (lenient, moderate, strict)
- Multiple output formats (JSON, compact, human-readable summary)
- Comprehensive scoring for all five laws with actionable recommendations
- Exit codes for automated pass/fail workflows
- REP Tool (
code/tools/run_rep_tool.py) - CLI wrapper for Reasoning & Explanation Protocol supporting deductive, inductive, abductive, analogical, and causal reasoning
- ESL Tool (
code/tools/run_esl_tool.py) - CLI wrapper for Emotional State Layer Protocol with multi-dimensional emotion detection
- VVP Tool (
code/tools/run_vvp_tool.py) - CLI wrapper for Validation & Verification Protocol for input validation
- Tools Manifest (
code/tools/tools_manifest.json) - Comprehensive metadata file for Paper2Agent tool discovery including:
- Tool categorization (governance, protocols, orchestration, workflows)
- Input/output specifications and examples
- Use cases and integration patterns
- Composition guidelines for protocol chaining
Documentation
- mcp_server Directory README - Dedicated explanation of directory naming and migration timeline
- Future Naming Guidelines - Internal developer guide for transitional terminology
- Implementation Plan - Complete technical specification for Paper2Agent integration
- Progress Report - Detailed status tracking for Phase 22 work
Use Cases Enabled
- AI Self-Governance - Paper2Agent and similar systems can now validate their own responses against the Five Laws before output
- Multi-Agent Validation - One agent can govern another’s outputs using standardized SIM-ONE protocols
- Governed Content Generation - AI systems can generate responses with built-in Five Laws compliance checking
- Protocol Composition - Tools can be chained via pipes for complex governed workflows
Technical Improvements
- Zero Breaking Changes - All additions are new files; existing functionality completely preserved
- Backward Compatibility - No modifications to existing imports, APIs, or configurations
- Composable Architecture - All tools support piping and can be chained together
- Standard I/O Patterns - Consistent CLI interface across all tool wrappers
- Machine-Readable Output - All tools default to JSON for easy parsing and automation
Added - Semantic Encoding Protocol (Previous)
- Semantic Encoding Protocol (SEP) - Complete implementation of lightweight transformer-based semantic embeddings for enhanced RAG capabilities
- Enhanced RAG Architecture - Multi-tier RAG system with semantic understanding while maintaining MVLM purity
- Intelligent Embedding Cache - High-performance caching system with TTL, compression, and LRU eviction
- Multi-Model Encoder Support - Support for multiple encoder models with automatic fallback and optimization
- Protocol Documentation - Comprehensive SEP protocol documentation following SIM-ONE standards
- Performance Monitoring - Real-time statistics and efficiency scoring for encoding operations
- Energy Stewardship Compliance - 22-82MB models vs GB alternatives, maintaining Law 4 compliance
Enhanced
- Vector Search Engine - Integration points prepared for SEP semantic embeddings
- Memory Manager - Enhanced semantic search capabilities with multi-factor scoring
- RAG Manager - Improved context retrieval quality and relevance through semantic understanding
- Protocol Integration - Seamless integration with existing Critic, Ideator, and Revisor protocols
Technical Improvements
- Batch Processing - Efficient handling of multiple text encodings simultaneously
- Quality Assessment - Automatic validation of embedding quality with fallback mechanisms
- Deterministic Behavior - Consistent embeddings for identical inputs (Law 5 compliance)
- Error Recovery - Graceful degradation and comprehensive error handling
- Model Optimization - Automatic model selection based on performance metrics
Documentation
- SEP Protocol Specification - Complete protocol documentation in
/protocols/SEP_PROTOCOL.md
- RAG Enhancement Analysis - Comprehensive analysis and implementation roadmap
- Integration Guidelines - Detailed instructions for SEP integration with existing systems
- Performance Benchmarks - Detailed performance metrics and efficiency scores
[1.2.0] - 2025-09-06
Added
- Working Implementation - 32,420+ lines of production Python code
- 18+ Specialized Protocols - Complete implementation of cognitive governance protocols
- Real-time Monitoring - Comprehensive 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
Core Systems
- 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 tracking
- Vector Database - PostgreSQL + pgvector with SQLite fallback
- Memory Management - Sophisticated multi-factor memory retrieval
- Web Integration - RAG with web search and HIP protocol governance
Documentation
- Complete Protocol Documentation - Individual protocol specifications
- Technical Implementation Guide - Detailed code documentation
- Manifesto - Philosophical foundation and Five Laws
- Security Policy - Comprehensive security guidelines
- Contributing Guidelines - Development and contribution standards
[1.1.0] - Previous Release
Added
- Philosophical Framework - Five Laws of Cognitive Governance
- Architectural Design - Protocol-driven intelligence architecture
- Core Protocols - Initial protocol implementations
- Basic RAG System - Mock embeddings and TF-IDF implementation
[1.0.0] - Initial Release
Added
- SIM-ONE Manifesto - Foundational philosophy and principles
- Framework Architecture - Basic protocol structure
- Five Laws Definition - Core governance principles
- Initial Documentation - Basic project documentation
Version Numbering
SIM-ONE follows semantic versioning:
- MAJOR version for incompatible API changes or architectural overhauls
- MINOR version for new functionality in a backwards compatible manner
- PATCH version for backwards compatible bug fixes
Categories
- Added for new features
- Changed for changes in existing functionality
- Deprecated for soon-to-be removed features
- Removed for now removed features
- Fixed for any bug fixes
- Security for vulnerability fixes
- Enhanced for improvements to existing features
- Technical Improvements for internal optimizations
- Documentation for documentation changes
Five Laws Compliance
All changes must maintain compliance with the Five Laws of Cognitive Governance:
- Architectural Intelligence - Intelligence through coordination, not complexity
- Cognitive Governance - All processes governed by specialized protocols
- Truth Foundation - Grounded in absolute truth principles
- Energy Stewardship - Maximum intelligence with minimal resources
- Deterministic Reliability - Consistent, predictable outcomes
Contributing
See CONTRIBUTING.md for guidelines on contributing to the SIM-ONE Framework.
License
This project is dual-licensed under AGPL v3 (non-commercial) and Commercial License.
See LICENSE for full details.