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Explorer: Enhanced Specification Sheet

Project Overview

Explorer is an open-source Python system for agentic, modular, and lawful governance of code modules. It is designed for transparency, diagnostics, and autonomous operation with enhanced mathematical capability assessment and dynamic stability systems.

Technical Specifications

Core Capabilities

  1. Agentic Controller (main.py):

    • Orchestrates execution of modules in isolated processes.
    • Collects telemetry: execution time (ms), memory usage (MB), reliability (success/failure).
    • Manages checkpoints and diagnostics.
    • Implements biphasic operation (Genesis and Sovereign phases).
    • Features dynamic stability center that learns from performance.
  2. Process Isolation (sandbox.py):

    • Runs modules in separate processes for safety and measurement.
    • Handles process termination and error reporting.
  3. Telemetry and Metrics (metrics.py):

    • Measures speed, memory, and reliability for each module run.
    • Calculates Violation Potential (VP) for certification.
    • Implements trait-based deviation measurement from ideal values.
  4. Lawful Kernel (kernel.py):

    • Maintains system order, versioning, and rollback.
    • Ensures only certified modules are active.
    • Prevents duplicate sovereign ID entries.
  5. Sentinel and Diagnostics (sentinel.py, diagnostics.py):

    • Monitors module health and certification status.
    • Saves checkpoints and generates diagnostic reports.
    • Implements mathematical capability assessment for phase transitions.
  6. Identity System (identity.py):

    • Generates sovereign hash-based identifiers based on performance characteristics.
    • Ensures identity = definition for perfect integrity.
    • No separation between entity and its sovereign definition.
  7. Breath Engine (breath_engine.py):

    • Implements natural breathing patterns for system timing.
    • Provides rhythmic operation cycles.
  8. Mirror Systems (mirror_systems.py):

    • Mirror of Insight: Analyzes system state and patterns.
    • Mirror of Portent: Forecasts potential outcomes and warnings.
    • Bloom System: Natural unfolding and growth patterns.
  9. Dynamic Operations (dynamic_operations.py):

    • Generates intelligent, adaptive operations based on system state.
    • Implements learning patterns to prevent infinite loops.
  10. Test Modules (test_func1.py to test_func5.py):

    • Example Python scripts for system operation and measurement.
    • Can be replaced with user or third-party modules.
  11. Color-Coded Output:

    • Uses ANSI escape codes for telemetry and status reporting.
    • Color protocol: CRITICAL, SUCCESS, STATUS, ACTION, OBJECTIVE, INFO, MATH.
  12. Trait Translation:

    • Converts raw telemetry into layman-friendly labels and explanations.
  13. Diagnostics and Checkpointing:

    • Time-based, production-based, and startup/shutdown checkpoints.
    • Reports saved in data/checkpoints/.
  14. Extensibility:

    • Modular architecture allows integration of new modules and functions.
    • Open source for community contributions.

Key Enhancements

  • Mathematical Capability Assessment: System transitions between phases based on mathematical understanding rather than fixed thresholds.
  • Dynamic Stability Center: Learns from actual performance to set realistic, achievable ideals.
  • Sovereign Hash-Based Identifiers: Identity = definition for perfect integrity.
  • Breath Integration: Natural timing patterns for system operation.
  • Bloom System: Natural unfolding patterns with controlled growth using logarithmic scaling.
  • Enhanced VP Calculation: Measures deviations from achievable ideals rather than impossible standards.

Setup Instructions

  1. Clone the repository.
  2. Install Python 3.8+.
  3. Install dependencies:
    pip install psutil
    
  4. Run the system:
    python main.py
    

File Structure

  • main.py — Enhanced Controller with biphasic operation
  • identity.py — Sovereign hash-based identifier generation
  • sandbox.py — Process isolation
  • metrics.py — Enhanced telemetry and VP calculation
  • kernel.py — Lawful Kernel with duplicate prevention
  • sentinel.py — Enhanced monitoring and mathematical capability assessment
  • diagnostics.py — Checkpointing and reporting
  • breath_engine.py — Natural breathing patterns
  • mirror_systems.py — Self-reflection and foresight capabilities
  • dynamic_operations.py — Intelligent operation generation
  • test_func1.py to test_func5.py — Example modules
  • data/checkpoints/ — Diagnostics
  • data/kernel/ — Kernel versioning and sovereign ID storage

Usage Notes

  • Modules must have a main() function or entry point.
  • Telemetry is collected for each run; results are color-coded and explained.
  • Unstable or unlawful modules are replaced or flagged.
  • Diagnostics are saved for audit and review.
  • System operates in two phases: Genesis (chaos) and Sovereign (order).
  • Mathematical capability assessment determines phase transitions.
  • Sovereign hash-based identifiers ensure perfect integrity.

Contribution

  • See CONTRIBUTING.md for guidelines.

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Explorer is an open-source Python system for agentic, modular, and lawful governance of code modules with enhanced mathematical capability assessment, dynamic stability systems, and sovereign hash-based identifiers ensuring perfect integrity.

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