๐JAEGIS v2.2 Data Flow and Process Architecture
Overview
This diagram illustrates the comprehensive data flow and process architecture, including the A.M.A.S.I.A.P. Protocol workflow, GARAS gap detection and resolution processes, IUAS system maintenance, and continuous improvement loops.
Data Flow and Process Architecture
graph TD
%% JAEGIS v2.2 Data Flow and Process Architecture
%% User Input and A.M.A.S.I.A.P. Protocol
UserInput[๐ค User Input<br/>Original Request<br/>Any Mode]
%% A.M.A.S.I.A.P. Protocol Flow
AMASIAPTrigger[๐ A.M.A.S.I.A.P. Protocol<br/>Auto-Trigger Detection<br/>Agent Creator Mode]
%% Input Enhancement Process
InputAnalysis[๐ Input Analysis<br/>Request Categorization<br/>Complexity Assessment]
DateContext[๐
Date Context Update<br/>Current: July 26, 2025<br/>Auto-Update Mechanism]
%% Research Framework
ResearchFramework[๐ Research Framework<br/>15-20 Targeted Queries<br/>Current Date Context]
WebResearch[๐ Web Research Execution<br/>Real-time Data Gathering<br/>Source Attribution]
DataCatalog[๐ Data Cataloging<br/>Timestamp & Source Tracking<br/>Quality Assessment]
%% Task Hierarchy Generation
TaskBreakdown[๐ Task Hierarchy Generation<br/>Research โ Implementation<br/>Validation โ Documentation]
PhaseGeneration[โ๏ธ Phase & Sub-Phase Creation<br/>Detailed Task Structure<br/>Dependency Mapping]
%% Implementation Strategy
ImplementStrategy[๐ฏ Implementation Strategy<br/>Systematic Execution Plan<br/>Gap Resolution Protocol]
%% Enhanced Request Processing
EnhancedRequest[โจ Enhanced Request<br/>Original + Research + Tasks<br/>Ready for Execution]
%% JAEGIS System Processing
JAEGISProcessing[๐ฏ JAEGIS System Processing<br/>128-Agent Orchestration<br/>6-Tier Architecture]
%% Mode Selection and Squad Activation
ModeSelection[๐ฎ Mode Selection<br/>5 Operational Modes<br/>Intelligent Activation]
SquadActivation[๐ฅ Squad Activation<br/>Context-Based Selection<br/>Cross-Squad Coordination]
%% IUAS System Maintenance Flow
IUASFlow[๐ง IUAS System Maintenance Flow<br/>20-Agent Maintenance Squad<br/>Continuous Evolution]
%% IUAS Process Steps
SystemMonitoring[๐ System Monitoring<br/>Real-time Health Tracking<br/>Performance Analytics]
ChangeDetection[๐ Change Detection<br/>System Evolution Needs<br/>Update Requirements]
UpdateCoordination[๐ Update Coordination<br/>Cross-System Changes<br/>Compatibility Management]
ChangeImplementation[โก Change Implementation<br/>Coordinated Updates<br/>Testing & Validation]
DocumentationUpdate[๐ Documentation Update<br/>Change Logging<br/>Knowledge Management]
%% GARAS Gap Resolution Flow
GARASFlow[๐ฏ GARAS Gap Resolution Flow<br/>40-Agent Gap Resolution<br/>24-Hour Timeline]
%% GARAS Process Steps
GapDetection[๐ Gap Detection<br/>Real-time Monitoring<br/>Pattern Recognition]
GapAnalysis[๐ Gap Analysis<br/>Root Cause Analysis<br/>Impact Assessment]
ResearchExecution[๐ Research Execution<br/>15-20 Targeted Queries<br/>Current Date Context]
SolutionDesign[๐จ Solution Design<br/>Feasibility Assessment<br/>Implementation Planning]
%% Simulation and Testing
SimulationTesting[๐งช Simulation & Testing<br/>100,000+ Scenarios<br/>Virtual Environment]
RiskAssessment[โ ๏ธ Risk Assessment<br/>Outcome Prediction<br/>Safety Validation]
%% Implementation and Learning
GapImplementation[โก Gap Implementation<br/>Solution Deployment<br/>Real-time Monitoring]
MetaLearning[๐ Meta-Cognitive Learning<br/>Pattern Recognition<br/>System Optimization]
%% Cross-Squad Coordination
CrossSquadCoord[๐ Cross-Squad Coordination<br/>Multi-Squad Operations<br/>Intelligent Handoffs]
%% Data Storage and Management
DataManagement[๐พ Data Management<br/>Centralized Storage<br/>Version Control]
%% Knowledge Base
KnowledgeBase[๐ Knowledge Base<br/>Accumulated Learning<br/>Best Practices]
PerformanceMetrics[๐ Performance Metrics<br/>Real-time Analytics<br/>Optimization Data]
AuditTrails[๐ Audit Trails<br/>AES-256 Encryption<br/>Comprehensive Logging]
%% GitHub Integration
GitHubIntegration[๐ GitHub Integration<br/>Dynamic Resource Fetching<br/>Automated Sync]
%% OpenRouter.ai Integration
OpenRouterIntegration[๐ค OpenRouter.ai Integration<br/>3000+ API Keys<br/>Intelligent Load Balancing]
%% Output Generation
OutputGeneration[๐ค Output Generation<br/>Comprehensive Results<br/>Multi-Format Support]
%% Quality Validation
QualityValidation[โ
Quality Validation<br/>Multi-Layer Verification<br/>Standards Compliance]
%% Final Delivery
FinalDelivery[๐ฏ Final Delivery<br/>Complete Solution<br/>Documentation Included]
%% Continuous Improvement Loop
ContinuousImprovement[๐ Continuous Improvement<br/>System Evolution<br/>Performance Optimization]
%% Main Flow Connections
UserInput --> AMASIAPTrigger
AMASIAPTrigger --> InputAnalysis
InputAnalysis --> DateContext
DateContext --> ResearchFramework
%% Research Flow
ResearchFramework --> WebResearch
WebResearch --> DataCatalog
DataCatalog --> TaskBreakdown
TaskBreakdown --> PhaseGeneration
PhaseGeneration --> ImplementStrategy
ImplementStrategy --> EnhancedRequest
%% System Processing
EnhancedRequest --> JAEGISProcessing
JAEGISProcessing --> ModeSelection
ModeSelection --> SquadActivation
%% IUAS Flow
SquadActivation --> IUASFlow
IUASFlow --> SystemMonitoring
SystemMonitoring --> ChangeDetection
ChangeDetection --> UpdateCoordination
UpdateCoordination --> ChangeImplementation
ChangeImplementation --> DocumentationUpdate
%% GARAS Flow
SquadActivation --> GARASFlow
GARASFlow --> GapDetection
GapDetection --> GapAnalysis
GapAnalysis --> ResearchExecution
ResearchExecution --> SolutionDesign
SolutionDesign --> SimulationTesting
SimulationTesting --> RiskAssessment
RiskAssessment --> GapImplementation
GapImplementation --> MetaLearning
%% Cross-Squad Coordination
IUASFlow --> CrossSquadCoord
GARASFlow --> CrossSquadCoord
CrossSquadCoord --> SquadActivation
%% Data Management
DocumentationUpdate --> DataManagement
MetaLearning --> DataManagement
DataManagement --> KnowledgeBase
DataManagement --> PerformanceMetrics
DataManagement --> AuditTrails
%% External Integrations
JAEGISProcessing --> GitHubIntegration
JAEGISProcessing --> OpenRouterIntegration
GitHubIntegration --> DataManagement
OpenRouterIntegration --> SquadActivation
%% Output Processing
CrossSquadCoord --> OutputGeneration
OutputGeneration --> QualityValidation
QualityValidation --> FinalDelivery
%% Continuous Improvement
FinalDelivery --> ContinuousImprovement
ContinuousImprovement --> SystemMonitoring
ContinuousImprovement --> GapDetection
%% Feedback Loops
PerformanceMetrics -.-> |Performance Data| SystemMonitoring
AuditTrails -.-> |Audit Data| GapDetection
KnowledgeBase -.-> |Learning Data| ResearchFramework
MetaLearning -.-> |Optimization| AMASIAPTrigger
%% Emergency Protocols
EmergencyProtocol[๐จ Emergency Protocol<br/>Immediate Response<br/>System Protection]
InfraProtection[๐ก๏ธ Infrastructure Protection<br/>Lock/Unlock Mechanism<br/>Security Validation]
%% Emergency Connections
GapDetection -.-> |Critical Issues| EmergencyProtocol
SystemMonitoring -.-> |System Threats| InfraProtection
EmergencyProtocol --> InfraProtection
InfraProtection --> JAEGISProcessing
%% Real-time Monitoring Dashboard
MonitoringDashboard[๐ Real-time Monitoring Dashboard<br/>128-Agent Status<br/>Performance Metrics]
%% Dashboard Connections
SystemMonitoring --> MonitoringDashboard
GapDetection --> MonitoringDashboard
CrossSquadCoord --> MonitoringDashboard
PerformanceMetrics --> MonitoringDashboard
%% Styling
classDef input fill:#e1f5fe,stroke:#0277bd,stroke-width:2px,color:#000
classDef amasiap fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px,color:#000
classDef research fill:#e8f5e8,stroke:#2e7d32,stroke-width:2px,color:#000
classDef iuas fill:#fff3e0,stroke:#ef6c00,stroke-width:2px,color:#000
classDef garas fill:#fce4ec,stroke:#c2185b,stroke-width:2px,color:#000
classDef system fill:#e3f2fd,stroke:#1565c0,stroke-width:2px,color:#000
classDef data fill:#f1f8e9,stroke:#558b2f,stroke-width:2px,color:#000
classDef security fill:#ffebee,stroke:#d32f2f,stroke-width:2px,color:#000
classDef output fill:#f9fbe7,stroke:#827717,stroke-width:2px,color:#000
classDef emergency fill:#ff5722,stroke:#333,stroke-width:3px,color:#fff
classDef monitoring fill:#37474f,stroke:#333,stroke-width:2px,color:#fff
class UserInput,InputAnalysis,DateContext input
class AMASIAPTrigger,ResearchFramework,WebResearch,DataCatalog,TaskBreakdown,PhaseGeneration,ImplementStrategy,EnhancedRequest amasiap
class ResearchExecution research
class IUASFlow,SystemMonitoring,ChangeDetection,UpdateCoordination,ChangeImplementation,DocumentationUpdate iuas
class GARASFlow,GapDetection,GapAnalysis,SolutionDesign,SimulationTesting,RiskAssessment,GapImplementation,MetaLearning garas
class JAEGISProcessing,ModeSelection,SquadActivation,CrossSquadCoord,GitHubIntegration,OpenRouterIntegration system
class DataManagement,KnowledgeBase,PerformanceMetrics,AuditTrails data
class InfraProtection security
class OutputGeneration,QualityValidation,FinalDelivery,ContinuousImprovement output
class EmergencyProtocol emergency
class MonitoringDashboard monitoringProcess Workflows
A.M.A.S.I.A.P. Protocol Workflow
Phase 1: Input Enhancement
User Input: Original request received
Auto-Trigger Detection: Protocol activation in Agent Creator Mode
Input Analysis: Request categorization and complexity assessment
Date Context Update: Current date integration (July 26, 2025)
Phase 2: Research Framework
Research Framework: 15-20 targeted queries generation
Web Research Execution: Real-time data gathering with source attribution
Data Cataloging: Timestamp and source tracking with quality assessment
Phase 3: Task Generation
Task Hierarchy Generation: Research โ Implementation โ Validation โ Documentation
Phase & Sub-Phase Creation: Detailed task structure with dependency mapping
Implementation Strategy: Systematic execution plan with gap resolution protocol
Enhanced Request: Original + Research + Tasks ready for execution
IUAS System Maintenance Workflow
Continuous Monitoring (20 Agents)
System Monitoring: Real-time health tracking and performance analytics
Change Detection: System evolution needs and update requirements identification
Update Coordination: Cross-system changes with compatibility management
Change Implementation: Coordinated updates with testing and validation
Documentation Update: Change logging and knowledge management
Maintenance Units
System Monitors (5 agents): Health, performance, integration, resource tracking
Update Coordinators (5 agents): Change orchestration and compatibility
Change Implementers (5 agents): Update execution and validation
Documentation Specialists (5 agents): Change logging and knowledge management
GARAS Gap Resolution Workflow
24-Hour Resolution Timeline (40 Agents)
Gap Detection: Real-time monitoring with pattern recognition
Gap Analysis: Root cause analysis and impact assessment
Research Execution: 15-20 targeted queries with current date context
Solution Design: Feasibility assessment and implementation planning
Simulation & Testing: 100,000+ scenarios in virtual environment
Risk Assessment: Outcome prediction and safety validation
Gap Implementation: Solution deployment with real-time monitoring
Meta-Cognitive Learning: Pattern recognition and system optimization
GARAS Sub-Squads
Gap Detection Unit (10 agents): Real-time monitoring and pattern recognition
Research & Analysis Unit (10 agents): Current date research and analysis
Simulation & Testing Unit (10 agents): High-speed simulation capabilities
Implementation & Learning Unit (10 agents): Gap resolution and meta-learning
Data Management Architecture
Centralized Storage System
Data Management: Centralized storage with version control
Knowledge Base: Accumulated learning and best practices
Performance Metrics: Real-time analytics and optimization data
Audit Trails: AES-256 encryption with comprehensive logging
Integration Points
GitHub Integration: Dynamic resource fetching and automated sync
OpenRouter.ai Integration: 3000+ API keys with intelligent load balancing
Cross-System Data Flow: Seamless data exchange between components
Quality Assurance Pipeline
Multi-Layer Validation
Output Generation: Comprehensive results with multi-format support
Quality Validation: Multi-layer verification and standards compliance
Final Delivery: Complete solution with documentation included
Continuous Improvement: System evolution and performance optimization
Feedback Loops
Performance Data: Performance metrics feed system monitoring
Audit Data: Audit trails inform gap detection
Learning Data: Knowledge base enhances research framework
Optimization: Meta-learning improves A.M.A.S.I.A.P. Protocol
Emergency and Security Protocols
Emergency Response
Emergency Protocol: Immediate response and system protection
Infrastructure Protection: Lock/unlock mechanism with security validation
Critical Issue Escalation: Gap detection triggers emergency protocols
System Threat Response: Monitoring triggers infrastructure protection
Real-Time Monitoring
Monitoring Dashboard: 128-agent status and performance metrics
System Health: Continuous monitoring integration
Gap Detection: Real-time gap analysis
Cross-Squad Coordination: Multi-squad operation tracking
Performance Optimization
Continuous Improvement Cycle
Performance Analysis: Real-time metrics collection
Gap Identification: Automated gap detection
Research & Development: Evidence-based improvements
Implementation: Coordinated system updates
Validation: Performance verification
Learning Integration: Knowledge base updates
Optimization Targets
Response Time: Faster processing and delivery
Resource Efficiency: Optimized agent utilization
Quality Enhancement: Improved output quality
System Reliability: Enhanced stability and uptime
Cross-Squad Coordination
Intelligent Handoffs
Context Preservation: Seamless information transfer
Dependency Management: Automated dependency resolution
Priority Coordination: Intelligent task prioritization
Resource Optimization: Efficient resource allocation
Multi-Squad Operations
Parallel Processing: Concurrent squad operations
Synchronization Points: Coordinated checkpoints
Conflict Resolution: Automated conflict management
Performance Tracking: Multi-squad performance analytics
Usage Context
This data flow and process architecture enables:
Intelligent Enhancement: Automatic input improvement through A.M.A.S.I.A.P.
Proactive Maintenance: Continuous system evolution through IUAS
Rapid Gap Resolution: 24-hour gap resolution through GARAS
Quality Assurance: Multi-layer validation and continuous improvement
Emergency Response: Comprehensive emergency and security protocols
For system architecture, see Master System Architecture For security details, see Security Framework
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