🧠PROJECT CHIMERA - SYSTEM ARCHITECTURE DOCUMENT

Metacognitive AGI System with Transparent, Auditable Architecture

Version: 1.0.0 | Date: 2025-01-23 | Status: Technical Specification Integration: JAEGIS Enhanced System v2.0 | Classification: Human Potential Incubator Platform


🎯 EXECUTIVE SUMMARY

Project Chimera is a revolutionary Metacognitive AGI system designed as a "Human Potential Incubator" that seamlessly integrates with the JAEGIS Enhanced System v2.0. The platform features transparent, auditable architecture with provably self-correcting capabilities, supporting 12,000+ heterogeneous agents in a sustainable human-AI collaboration ecosystem.

Core Mission

Transform human potential through metacognitive AGI that enhances rather than replaces human capabilities, with complete transparency and democratic governance.


πŸ—οΈ HIGH-LEVEL SYSTEM ARCHITECTURE

System Overview

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    PROJECT CHIMERA ECOSYSTEM                    β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚   JAEGIS v2.0     β”‚  β”‚  CHIMERA CORE   β”‚  β”‚  GOVERNANCE     β”‚  β”‚
β”‚  β”‚   Integration   │◄──  AGI PLATFORM   β”œβ”€β–Ίβ”‚     DAO         β”‚  β”‚
β”‚  β”‚                 β”‚  β”‚                 β”‚  β”‚                 β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β”‚           β”‚                     β”‚                     β”‚          β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚  WORKFLOW       β”‚  β”‚  MULTI-AGENT    β”‚  β”‚   SECURITY      β”‚  β”‚
β”‚  β”‚  ORCHESTRATOR   │◄──   ECOSYSTEM     β”œβ”€β–Ίβ”‚  ARCHITECTURE   β”‚  β”‚
β”‚  β”‚                 β”‚  β”‚   (12,000+)     β”‚  β”‚                 β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β”‚           β”‚                     β”‚                     β”‚          β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚   COGNITIVE     β”‚  β”‚  DIFFERENTIABLE β”‚  β”‚   DASHBOARD     β”‚  β”‚
β”‚  β”‚     GYM         │◄──    MEDIATOR     β”œβ”€β–Ίβ”‚     SUITE       β”‚  β”‚
β”‚  β”‚                 β”‚  β”‚  (GPU-Native)   β”‚  β”‚                 β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

🧠 CORE ARCHITECTURAL COMPONENTS

1. Tiered Cognitive Cycle (TCC) Core Engine

Purpose: Metacognitive reasoning with self-correction capabilities

Architecture:

Key Features:

  • Metacognitive Loops: Continuous self-monitoring and optimization

  • Cognitive State Management: Real-time tracking of reasoning processes

  • Performance Optimization: Adaptive improvement of cognitive efficiency

  • Transparency Engine: Complete auditability of decision processes

2. Multi-Agent Ecosystem (MAE) Framework

Purpose: Support 12,000+ heterogeneous agents with open interoperability

Architecture:

Key Features:

  • A2A Protocol Compliance: Native support for Agent-to-Agent communication

  • Dynamic Scaling: Automatic agent provisioning and deprovisioning

  • Resource Management: Intelligent workload distribution and optimization

  • Interoperability: Open standards for heterogeneous agent integration

3. Sovereign AI Government

Purpose: Autonomous ecosystem health monitoring and policy execution

Architecture:

Key Features:

  • Autonomous Monitoring: Real-time ecosystem health assessment

  • Policy Automation: Automated enforcement of governance rules

  • Democratic Integration: Seamless integration with Human Governance DAO

  • Transparency: Complete audit trail of all governance decisions

4. Agent Ecosystem Orchestrator

Purpose: Native A2A protocol orchestrator with best-in-class performance

Architecture:

Key Features:

  • High-Performance A2A: Optimized Agent-to-Agent protocol implementation

  • Intelligent Distribution: AI-powered workload allocation

  • Resource Optimization: Dynamic resource allocation and scaling

  • Conflict Resolution: Automated resolution of agent conflicts

5. Human Governance DAO Portal

Purpose: Secure voting interface with cryptographic verification

Architecture:

Key Features:

  • Cryptographic Security: Zero-knowledge proofs for vote verification

  • Constitutional Framework: Structured amendment and review processes

  • Impact Verification: Proof of Impact system for DAO participants

  • Transparent Governance: Complete audit trail of all decisions

6. Core System Protocols

Purpose: Comprehensive safety protocols with escalation procedures

Architecture:

Key Features:

  • Multi-Layer Safety: Comprehensive safety protocols at all levels

  • Emergency Response: Rapid response to critical system events

  • Automated Shutdown: Fail-safe mechanisms for system protection

  • Compliance Monitoring: Continuous protocol adherence verification


πŸ”§ CORE INNOVATION COMPONENTS

1. Differentiable Mediator (GPU-Native Integration)

Purpose: Flexible GPU-native neuro-symbolic reasoning engine

Technical Specifications:

  • GPU Architecture: CUDA/ROCm optimized for parallel processing

  • Dolphin Library Integration: Stable API interface for symbolic reasoning

  • Hybrid Processing: Seamless neural-symbolic computation

  • Performance Optimization: Real-time inference with <100ms latency

2. Simulated Intervention Environment (Cognitive Gym)

Purpose: Autonomous experiment design and execution framework

Technical Specifications:

  • Sandbox Environment: Isolated testing environment for AGI self-improvement

  • Experiment Framework: Automated design and execution of cognitive experiments

  • Flaw Detection: Advanced algorithms for identifying cognitive limitations

  • Safe Improvement: Controlled self-modification with safety guarantees

3. Agent Synthesis Engine (A2A-Native Orchestrator)

Purpose: High-performance agent lifecycle management

Technical Specifications:

  • Elkar Framework: Built on proven task management and orchestration

  • A2A-Python SDK: Official Agent-to-Agent protocol implementation

  • Lifecycle Management: Complete agent creation, deployment, and retirement

  • Performance Optimization: Sub-millisecond agent communication


πŸ”’ MULTI-LAYERED SECURITY ARCHITECTURE

Layer 1: Data-Centric Hardening

  • Variable Depth Safety Augmentation (VDSA): Advanced fine-tuning strategy

  • Deep Safety Alignment: Adversarial attack resistance

  • Robust Safety Mechanisms: Beyond prefix-based approaches

Layer 2: Real-Time Monitoring

  • Token-Level Analysis: Integrated into generation loop

  • High-Speed Filtering: In-stream content filtering

  • Threat Detection: Real-time threat identification and response

Layer 3: Architectural Isolation

  • Dual LLM Pattern: Conductor/Worker separation

  • Privileged Execution: Strict access controls

  • Quarantined Sandbox: Untrusted data processing isolation


πŸ“Š DASHBOARD SUITE ARCHITECTURE

Five Specialized Dashboards:

  1. Operations & Monitoring Dashboard

    • Real-time system health metrics

    • Agent performance monitoring

    • Resource utilization tracking

  2. Performance Analytics Dashboard

    • Cognitive performance metrics

    • Optimization recommendations

    • Efficiency trend analysis

  3. Collaboration Network Monitor

    • Agent interaction visualization

    • Communication flow analysis

    • Collaboration effectiveness metrics

  4. Executive Intelligence Dashboard

    • High-level system overview

    • Strategic decision support

    • ROI and impact metrics

  5. ACI Tools Management Dashboard

    • Agent lifecycle management

    • Tool deployment and monitoring

    • Configuration management


πŸ”— PROTOCOL SPECIFICATIONS

Open Standards Migration:

  • A2A Protocol: Inter-agent communication

  • MCP Protocol: Agent-to-tool communication

  • Internal Protocols: PMPP, SLA, Punitive Enforcement

Protocol Features:

  • Versioning: Backward compatibility support

  • Security: Cryptographic verification

  • Performance: Optimized for real-time operations


πŸ“ˆ NON-FUNCTIONAL REQUIREMENTS

Scalability:

  • Support for 12,000+ concurrent agents

  • Horizontal scaling architecture

  • Auto-scaling based on demand

Security:

  • Zero-trust architecture

  • End-to-end encryption

  • Multi-factor authentication

Performance:

  • <100ms response time for critical operations

  • 99.99% uptime SLA

  • Real-time processing capabilities

Auditability:

  • Complete transaction logging

  • Immutable audit trails

  • Compliance reporting


πŸš€ AGENTOPS FRAMEWORK

Six-Stage Agent Lifecycle:

  1. Ideation: Automated agent concept generation

  2. Design: Architectural specification and planning

  3. Development: Code generation and testing

  4. Deployment: Containerized deployment with CI/CD

  5. Monitoring & Optimization: Performance tracking and improvement

  6. Retirement: Graceful agent lifecycle termination

Infrastructure Components:

  • CI/CD Pipeline: Automated testing and deployment

  • Container Platform: Serverless with scale-to-zero

  • Digital Immune System: AI-powered anomaly detection

  • Dependency Security: Supply chain protection


πŸ”„ JAEGIS INTEGRATION ARCHITECTURE

Integration Points:

  • Workflow Configuration: Enhanced with Chimera capabilities

  • Temporal Coordination: Synchronized with AGI operations

  • Agent Ecosystem: Extended to support 12,000+ agents

  • Security Framework: Unified security across platforms

Enhanced Capabilities:

  • Metacognitive Workflows: Self-improving workflow optimization

  • AGI-Powered Research: Enhanced web research with AGI insights

  • Intelligent Orchestration: AI-driven task and agent coordination

  • Transparent Operations: Complete auditability of all operations


πŸ“‹ TECHNICAL CONSTRAINTS & REQUIREMENTS

Technology Stack:

  • GPU Computing: CUDA/ROCm for parallel processing

  • Containerization: Docker/Kubernetes for deployment

  • Cryptography: Zero-knowledge proofs for governance

  • Real-Time Systems: Sub-100ms latency requirements

Compliance Requirements:

  • Open Standards: A2A, MCP protocol compliance

  • Security Standards: SOC 2, ISO 27001 compliance

  • Governance Standards: DAO governance framework

  • Audit Standards: Complete transaction auditability


Next Phase: Implementation Roadmap with specific milestones and dependencies

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