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="admin@sazmir.ai",
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