🎯JAEGIS Enhanced Agent System v2.2

Featuring N.L.D.S. - Natural Language Detection System

Revolutionary AI System with Natural Language Interface and 128-Agent Architecture

JAEGIS (Just Another Enhanced General Intelligence System) v2.2 introduces the Natural Language Detection System (N.L.D.S.) as the Tier 0 component - a revolutionary human-AI interface that transforms natural language into optimized JAEGIS commands. Built for enterprise-scale operations with comprehensive AI integration, advanced security protocols, and intelligent task orchestration.

🚀 N.L.D.S. - The Future of Human-AI Interaction

The Natural Language Detection System represents a paradigm shift in how humans interact with AI systems. As the Tier 0 component of JAEGIS v2.2, N.L.D.S. serves as the intelligent gateway that:

🧠 Understands Natural Language - Processes complex human input with multi-dimensional analysis (logical, emotional, creative)
⚡ Optimizes Commands - Translates intent into precise JAEGIS commands automatically with intelligent squad selection
🎯 Ensures Accuracy - Maintains ≥85% confidence threshold for reliable results with alternative interpretations
🚀 Delivers Speed - Responds in <500ms with 1000 req/min capacity and intelligent rate limiting
🔗 Integrates Seamlessly - Works with OpenRouter.ai (3000+ API keys), GitHub resources, and real-time synchronization
🔒 Maintains Security - JWT authentication, role-based access control, and comprehensive audit logging
📊 Provides Analytics - Real-time performance monitoring, usage analytics, and confidence tracking

🚀 Key Features

🧠 N.L.D.S. - Natural Language Detection System (Tier 0)

🎯 Intelligent Command Translation - Converts natural language to optimized JAEGIS commands
📊 Multi-dimensional Analysis - Logical, emotional, and creative analysis of user input
⚡ High-Performance Processing - <500ms response time, 1000 req/min capacity
🎪 A.M.A.S.I.A.P. Protocol - Automatic Multi-dimensional Analysis, Synthesis, Intelligence, and Adaptive Processing
🔗 Seamless Integration - Direct interface with OpenRouter.ai and GitHub resources
✅ Confidence Validation - ≥85% accuracy threshold for reliable results

🏗️ Advanced Architecture

128-Agent System with 6-tier hierarchical structure
Squad-Based Coordination with specialized agent teams
Cross-Squad Collaboration with intelligent handoff protocols
Real-Time Monitoring and performance optimization
Tier 0 Integration - N.L.D.S. as primary human-AI interface

🔧 Core Capabilities

5 Operational Modes from documentation to full orchestration
150+ Specialized Commands for comprehensive system control
Dynamic Resource Fetching with GitHub integration
Automated Maintenance through IUAS (Internal Updates Agent Squad)
Gap Resolution via GARAS (Gaps Analysis and Resolution Agent Squad)
Natural Language Processing with intelligent command optimization

🛡️ Enterprise Security

Infrastructure Protection with lock/unlock mechanisms
Multi-Layer Security with AES-256 encryption
Automated GitHub Sync with security protocols
Comprehensive Audit Trails and compliance framework
JWT Authentication with role-based access control
Rate Limiting with intelligent throttling

🤖 AI Integration

Enhanced OpenRouter.ai support with 3000+ API keys
Intelligent Load Balancing and failover mechanisms
A.M.A.S.I.A.P. Protocol for automatic input enhancement
Meta-Cognitive Learning for continuous improvement
Multi-Model Support with optimal model selection
Real-time AI Processing with advanced caching

📊 System Architecture

JAEGIS v2.2 with N.L.D.S. Integration

graph TB
    subgraph "Human Interface"
        USER[👤 Human User]
        WEB[🌐 Web Interface]
        API[🔌 API Interface]
    end

    subgraph "Tier 0: N.L.D.S. - Natural Language Detection System"
        NLDS[🧠 N.L.D.S. Core]
        PROC[🔄 Processing]
        ANAL[📊 Analysis]
        TRANS[🔀 Translation]
        AMASIAP[🎪 A.M.A.S.I.A.P.]
    end

    subgraph "External AI Integration"
        OR[🤖 OpenRouter.ai<br/>3000+ API Keys]
        GH[📚 GitHub<br/>Dynamic Resources]
    end

    subgraph "Tier 1: JAEGIS Orchestrator"
        JAEGIS[🎯 JAEGIS Master Orchestrator]
        ROUTER[🚦 Command Router]
        MONITOR[📊 Status Monitor]
    end

    subgraph "Tier 2: Primary Leadership"
        JOHN[👔 John - Strategic Analysis]
        FRED[🏗️ Fred - Technical Implementation]
        TYLER[⚡ Tyler - Creative Solutions]
    end

    subgraph "Tier 3-6: Agent Hierarchy (128 Agents)"
        T3[🔧 Tier 3: 16 Specialized Agents]
        T4[⚡ Tier 4: 4 Conditional Agents]
        T5[🔧 Tier 5: 20 IUAS Agents]
        T6[🎯 Tier 6: 40 GARAS Agents]
    end

    %% User Flow
    USER --> WEB
    USER --> API
    WEB --> NLDS
    API --> NLDS

    %% N.L.D.S. Processing
    NLDS --> PROC
    PROC --> AMASIAP
    AMASIAP --> ANAL
    ANAL --> TRANS

    %% External Integrations
    AMASIAP --> OR
    AMASIAP --> GH

    %% JAEGIS Integration
    TRANS --> JAEGIS
    JAEGIS --> ROUTER
    JAEGIS --> MONITOR

    %% Agent Hierarchy
    ROUTER --> JOHN
    ROUTER --> FRED
    ROUTER --> TYLER
    JOHN --> T3
    FRED --> T3
    TYLER --> T3
    T3 --> T4
    T4 --> T5
    T5 --> T6

    %% Styling
    classDef tier0 fill:#e1f5fe,stroke:#01579b,stroke-width:3px
    classDef tier1 fill:#f3e5f5,stroke:#4a148c,stroke-width:2px
    classDef tier2 fill:#e8f5e8,stroke:#1b5e20,stroke-width:2px
    classDef agents fill:#fff3e0,stroke:#e65100,stroke-width:2px
    classDef external fill:#fff8e1,stroke:#ff8f00,stroke-width:2px
    classDef interface fill:#f5f5f5,stroke:#424242,stroke-width:2px

    class NLDS,PROC,ANAL,TRANS,AMASIAP tier0
    class JAEGIS,ROUTER,MONITOR tier1
    class JOHN,FRED,TYLER tier2
    class T3,T4,T5,T6 agents
    class OR,GH external
    class USER,WEB,API interface

N.L.D.S. Processing Flow

sequenceDiagram
    participant User
    participant NLDS as N.L.D.S.
    participant AMASIAP as A.M.A.S.I.A.P.
    participant JAEGIS as JAEGIS
    participant Agents

    User->>NLDS: Natural Language Input
    NLDS->>AMASIAP: Input Enhancement
    AMASIAP->>AMASIAP: Multi-dimensional Analysis
    AMASIAP->>NLDS: Enhanced Context
    NLDS->>NLDS: Command Translation
    NLDS->>JAEGIS: Optimized JAEGIS Command
    JAEGIS->>Agents: Task Distribution
    Agents->>JAEGIS: Results
    JAEGIS->>NLDS: Execution Status
    NLDS->>User: Processed Response

For complete architecture diagrams, see Documentation/Architecture

🚀 Quick Start

Prerequisites

Python 3.8+ or Node.js 16+
Git for repository management
OpenRouter.ai API key (recommended for N.L.D.S. enhanced features)
PostgreSQL 12+ (for N.L.D.S. data persistence)
Redis 6+ (for N.L.D.S. caching and performance)

Installation

# Clone the repository
git clone https://github.com/usemanusai/JAEGIS.git
cd JAEGIS

# Install dependencies
pip install -r requirements.txt
# OR
npm install

# Initialize JAEGIS system
python jaegis.py --init
# OR
npm run init

Basic Usage

from jaegis import JAEGISOrchestrator

# Initialize JAEGIS system
jaegis = JAEGISOrchestrator()

# Activate Agent Creator Mode (128-agent system)
jaegis.activate_mode(5)

# Deploy specific squads
jaegis.activate_squad("development-squad")
jaegis.activate_squad("garas-squad")

# Execute complex task
result = jaegis.execute_task({
    "type": "multi-agent-coordination",
    "objective": "Develop and deploy web application",
    "squads": ["development", "quality", "business"]
})

N.L.D.S. Natural Language Interface

Python SDK

from nlds import NLDSClient

# Initialize N.L.D.S. client
async with NLDSClient(api_key="your-api-key") as client:
    # Set user session for personalized processing
    client.set_user_session("user123", "session456")

    # Process natural language input
    response = await client.process(
        "Create a secure user authentication system with JWT tokens",
        preferred_mode=3,  # Advanced operation mode
        preferred_squad="development",
        require_high_confidence=True
    )

    print(f"Generated command: {response.primary_command.command}")
    print(f"Confidence: {response.overall_confidence:.2%}")
    print(f"Processing time: {response.total_processing_time_ms:.1f}ms")

JavaScript SDK

const { NLDSClient, JAEGISMode, SquadType } = require('nlds-client');

const client = new NLDSClient({
    apiKey: 'your-api-key',
    baseUrl: 'https://api.jaegis.ai/v2'
});

client.setUserSession('user123', 'session456');

const response = await client.process(
    'Create a secure user authentication system with JWT tokens',
    {
        preferredMode: JAEGISMode.MODE_3,
        preferredSquad: SquadType.DEVELOPMENT,
        requireHighConfidence: true
    }
);

console.log('Generated command:', response.primaryCommand.command);
console.log('Confidence:', (response.overallConfidence * 100).toFixed(1) + '%');

REST API

# Process natural language input
curl -X POST "https://api.jaegis.ai/v2/process" \
  -H "Authorization: Bearer your-jwt-token" \
  -H "Content-Type: application/json" \
  -d '{
    "input_text": "Create a secure user authentication system with JWT tokens",
    "user_id": "user123",
    "session_id": "session456",
    "processing_dimensions": ["logical", "emotional", "creative"],
    "preferred_mode": 3,
    "preferred_squad": "development",
    "require_high_confidence": true
  }'

Legacy JAEGIS Integration

from nlds import NLDSIntegrationOrchestrator

# Initialize N.L.D.S. (Tier 0 Component)
nlds = NLDSIntegrationOrchestrator({
    "processing": {"confidence_threshold": 0.85},
    "analysis": {"depth_levels": 5},
    "translation": {"mode_selection_threshold": 0.8},
    "integration": {
        "openrouter_api_keys": ["your-api-key"],
        "github_repo": "usemanusai/JAEGIS"
    }
})

# Process natural language input
result = await nlds.process_complete_pipeline(
    input_text="Analyze our system performance and create optimization recommendations",
    user_context={"user_id": "user123", "domain": "technology"}
)

print(f"Generated JAEGIS Command: {result.jaegis_command}")
print(f"Confidence Score: {result.overall_confidence:.2%}")
print(f"Processing Time: {result.total_processing_time_ms}ms")

N.L.D.S. API Usage

# Start N.L.D.S. API server
python -m nlds.api.main

# Process natural language via API
curl -X POST http://localhost:8000/process \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "input_text": "Create a comprehensive project plan for our new AI initiative",
    "mode": "enhanced",
    "enable_amasiap": true
  }'

📋 Operational Modes

Mode

Description

Agents

Use Case

Documentation Mode

Simple documentation tasks

Standard Development

Traditional development projects

Enhanced Development

Complex multi-squad operations

AI System Mode

Variable

GitHub-hosted AI components

Agent Creator Mode

128

Full system orchestration

🎯 Squad Specializations

Core Squads (Tier 3)

💻 Development Squad - Full-stack development and engineering
🔍 Quality Squad - Testing, QA, and compliance
📊 Business Squad - Analysis, strategy, and stakeholder management
⚙️ Process Squad - Project management and process optimization
📝 Content Squad - Documentation and content creation
🖥️ System Squad - Infrastructure and system administration

Specialized Squads (Tier 4)

📋 Task Management Squad - Workflow orchestration and optimization
🔧 Agent Builder Squad - Agent creation and validation
🔗 System Coherence Squad - Integration and dependency management
⏰ Temporal Intelligence Squad - Time-aware operations and accuracy

Maintenance Squads (Tier 6)

🔧 IUAS Squad - Internal updates and system evolution
🎯 GARAS Squad - Gap analysis and resolution with 24-hour timeline

🛠️ Configuration

Basic Configuration

{
  "mode": 5,
  "squads": {
    "development": true,
    "quality": true,
    "garas": true
  },
  "github": {
    "repository": "usemanusai/JAEGIS",
    "sync_enabled": true,
    "sync_interval": 60
  },
  "openrouter": {
    "enabled": true,
    "key_pool_size": 3000,
    "load_balancing": true
  }
}

Advanced Configuration

For detailed configuration options, see Configuration Guide

📚 Documentation

Core Documentation

📖 User Guide - Comprehensive usage instructions
🏗️ Architecture Guide - System architecture details
🔧 API Reference - Complete API documentation
⚙️ Configuration - Configuration options and examples

Visual Architecture

📊 System Architecture Diagrams - Complete visual documentation
🔄 Process Flow Diagrams - Workflow visualizations
🛡️ Security Framework - Security architecture

Developer Resources

🤝 Contributing Guidelines - How to contribute
📋 Code of Conduct - Community standards
🐛 Issue Templates - Bug reports and feature requests

🔧 API Reference

Core Methods

# System Control
jaegis.activate_mode(mode_number)
jaegis.activate_squad(squad_name)
jaegis.get_system_status()

# Task Execution
jaegis.execute_task(task_config)
jaegis.coordinate_squads(squad_list)
jaegis.monitor_performance()

# Configuration
jaegis.load_config(config_path)
jaegis.update_settings(settings_dict)
jaegis.sync_github_resources()

Command Line Interface

# System commands
jaegis --mode 5 --activate-squad development
jaegis --status --detailed
jaegis --sync-github --secure

# Squad management
jaegis --list-squads
jaegis --squad-status development
jaegis --optimize-performance

# Infrastructure protection
jaegis --lock-infrastructure
jaegis --unlock-infrastructure
jaegis --security-scan

🤝 Contributing

We welcome contributions from the community! Please see our Contributing Guidelines for details on:

🐛 Bug Reports - Help us improve by reporting issues
✨ Feature Requests - Suggest new capabilities
🔧 Code Contributions - Submit pull requests
📚 Documentation - Improve our documentation
🧪 Testing - Help us maintain quality

Development Setup

# Fork and clone the repository
git clone https://github.com/yourusername/JAEGIS.git
cd JAEGIS

# Create development environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
pytest tests/

# Run linting
flake8 src/
black src/

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🏆 Acknowledgments

OpenRouter.ai for enhanced AI integration capabilities
GitHub for comprehensive repository and CI/CD support
Mermaid for beautiful diagram rendering
The Open Source Community for inspiration and best practices

📞 Support & Contact

📧 Email: support@jaegis.ai
💬 Discussions: GitHub Discussions
🐛 Issues: GitHub Issues
📖 Documentation: docs.jaegis.ai

JAEGIS CLI - Command-line interface
JAEGIS Web UI - Web-based dashboard
JAEGIS Plugins - Community plugins

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