NETHIC AI - Enterprise-Grade Autonomous Agent Swarm Framework

NETHIC is a decentralized AI platform on blockchain for secure on-chain training and NFT-based model ownership.

🌟 Features

Swarm Intelligence	Enterprise Security	Performance
• Dynamic agent discovery via CRDTs	• Zero-trust gRPC-MTLS	• 1M msg/sec per agent
• Federated learning with TFHE	• Hardware-bound JWT authentication	• <5ms E2E latency
• Contract Net Protocol (FIPA)	• GDPR/CCPA audit trails	• 99.999% uptime SLA
• Chaos-resilient consensus	• Quantum-safe Kyber-1024	• 10x TCO reduction

🏗️ Architecture

%% NETHIC  AI Technical Architecture Diagram
graph TD
    subgraph Cloud_Providers
        AWS[AWS Region]
        GCP[GCP Region]
        Azure[Azure Region]
    end

    subgraph Control_Plane
        CP1[Consensus Manager]
        CP2[Global State Store]
        CP3[Federated Orchestrator]
        CP4[Auto-Scaler]
    end

    subgraph Data_Plane
        DP1[Agent Pods]
        DP2[Kafka Cluster]
        DP3[PostgreSQL HA]
        DP4[Neo4j Cluster]
    end

    subgraph Security_Stack
        SS1[SPIFFE Identity]
        SS2[Kyber-1024 TLS]
        SS3[Vault Secrets]
        SS4[OPA Policies]
    end

    subgraph Edge_Network
        EN1[5G MEC Node]
        EN2[IoT Gateway]
        EN3[Field Agent]
    end

    subgraph Observability
        OB1[Prometheus/Thanos]
        OB2[Loki/Tempo]
        OB3[Grafana Labs]
        OB4[OpenTelemetry]
    end

    %% Core Connections
    Cloud_Providers -->|Multi-Cloud Sync| Control_Plane
    Control_Plane -->|gNMI Telemetry| Data_Plane
    Data_Plane -->|Envoy mTLS| Security_Stack
    Security_Stack -->|SPIRE| Edge_Network
    Edge_Network -->|WireGuard| Cloud_Providers
    Observability -->|OTLP| Data_Plane
    
    %% 
    classDef cloud fill:#3A4F6E,stroke:#2B3A5A;      
    classDef control fill:#1F4788,stroke:#16325C;   
    classDef data fill:#2E8540,stroke:#245C33;      
    classDef security fill:#D14032,stroke:#A33126;  
    classDef edge fill:#6E509F,stroke:#543D87;      
    classDef obs fill:#FFC107,stroke:#D39E00;       
    
    class Cloud_Providers cloud;
    class Control_Plane control;
    class Data_Plane data;
    class Security_Stack security;
    class Edge_Network edge;
    class Observability obs;
                   

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🚀 Quick Start

1. Run with Docker (Dev Mode)

git clone https://github.com/NETHIC-ai/core.git
cd core/deploy

# Start minimal cluster (Agent + Redis + Observability)
docker compose -f docker-compose-dev.yml up --detach

# Submit sample task
curl -X POST http://localhost:8080/v1/tasks \
  -H "X-API-Key: DEMO_KEY" \
  -d '{"protocol":"contract_net", "payload":{"task_id":"geo-sat-001"}}'

2. Verify Deployment

# Check agent health
curl http://localhost:8080/v1/health

# Monitor metrics (Prometheus)
open http://localhost:9090

# View real-time logs (Loki)
open http://localhost:3100

📦 Installation

Prerequisites

• Kubernetes 1.25+ (Production) / Docker 20.10+ (Dev)
• NVIDIA GPU with CUDA 12.1 (Optional for AI workloads)
• 8 GB RAM (Min) / 64 GB RAM (Production)

Helm Deployment (Production)

helm repo add biconic https://helm.NETHIC.ai
helm install biconic-agent sazmir/NETHIC-agent \
  --namespace aelion-prod \
  --set global.tls.autoCert=true \
  --set autoscaler.minReplicas=10 \
  --values https://config.NETHIC.ai/v1/production.yaml

⚙️ Configuration

Environment Variables

# .env.production
AELION_DEPLOY_MODE=hybrid
AELION_CRYPTO_PROVIDER=kyber1024
AELION_TELEMETRY_ENDPOINT=https://telemetry.sazmir.ai/v1/ingest
AELION_LICENSE_KEY=eyJhbGciOiJSUzI1NiIsInR5cCI6... # JWT-Encrypted

Core Parameters

Parameter	Description	Default
swarm.quorum_size	Minimum agents for consensus	7
federation.max_latency_ms	Cross-DC latency threshold	150
telemetry.sampling_rate	Observability data sampling	0.05

🔒 Security

Certificates

# Generate quantum-safe certs (Kyber-1024)
openssl req -x509 -newkey kyber1024 \
  -keyout key.pem -out cert.pem \
  -days 365 -nodes -subj "/CN=sazmir.ai"

Audit Trails

# Example: Immutable audit logger
from aelion.audit import QuantumAuditLogger

qlogger = QuantumAuditLogger(
    ledger_type="blockchain",
    post_quantum_sig=True
)
qlogger.log_operation(
    user="[email protected]",
    action="agent_scale_up",
    params={"replicas": 100}
)

📊 Benchmarks

Scenario	vCPUs	Throughput	Latency
Contract Net (100 agents)	16	12K tasks/sec	8ms ±1.2
Federated Learning (10 nodes)	64	3TB/hr	92ms ±5.6
Disaster Recovery Failover	128	N/A	1.3s P99