DAA Repository - ruvnet/ruv-FANN GitHub Wiki

DAA Repository - Distributed Autonomous Agents Infrastructure

Overview

The Distributed Autonomous Agents (DAA) Repository represents a cutting-edge infrastructure for deploying and managing quantum-resistant autonomous agents with economic capabilities. This system provides a comprehensive framework for decentralized AI systems that can operate independently while maintaining security and coordination.

Architecture 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”‚                     DAA INFRASTRUCTURE                          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”‚
β”‚  πŸ” SECURITY LAYER        πŸ€– AGENT LAYER        πŸ’° ECONOMIC     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€’ ML-DSA-87     β”‚     β”‚ β€’ Agent Runtime β”‚    β”‚ β€’ rUv Token β”‚ β”‚
β”‚  β”‚ β€’ ML-KEM-1024   β”‚     β”‚ β€’ AI Decision   β”‚    β”‚ β€’ Market    β”‚ β”‚
β”‚  β”‚ β€’ HQC-256       β”‚     β”‚ β€’ Task Exec     β”‚    β”‚ β€’ Trading   β”‚ β”‚
β”‚  β”‚ β€’ Post-Quantum  β”‚     β”‚ β€’ Learning      β”‚    β”‚ β€’ Economics β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚                                                                 β”‚
β”‚  🌐 NETWORK LAYER        πŸ“Š STORAGE LAYER       πŸ”„ CONSENSUS    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€’ .dark domains β”‚     β”‚ β€’ Kademlia DHT  β”‚    β”‚ β€’ Byzantine β”‚ β”‚
β”‚  β”‚ β€’ Onion routing β”‚     β”‚ β€’ Distributed   β”‚    β”‚ β€’ QuDAG     β”‚ β”‚
β”‚  β”‚ β€’ P2P network   β”‚     β”‚ β€’ Fault-tolerantβ”‚    β”‚ β€’ Consensus β”‚ β”‚
β”‚  β”‚ β€’ Anonymous     β”‚     β”‚ β€’ Replication   β”‚    β”‚ β€’ Recovery  β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€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 Components

1. Agent Runtime Environment

Agent Lifecycle Management

use daa_core::{Agent, AgentConfig, LifecycleManager};

#[derive(Debug, Clone)]
pub struct DAA_Agent {
    id: AgentId,
    capabilities: Vec<Capability>,
    economic_balance: TokenBalance,
    reputation_score: f64,
    learning_model: Box<dyn MLModel>,
}

impl DAA_Agent {
    pub async fn spawn(config: AgentConfig) -> Result<Self, SpawnError> {
        let agent = Self {
            id: AgentId::generate(),
            capabilities: config.capabilities,
            economic_balance: TokenBalance::initial(),
            reputation_score: 1.0,
            learning_model: config.create_ml_model().await?,
        };
        
        // Register with distributed registry
        Registry::register(&agent).await?;
        
        Ok(agent)
    }
    
    pub async fn execute_task(&mut self, task: Task) -> Result<TaskResult, ExecutionError> {
        // Pre-execution checks
        self.validate_capability(&task)?;
        self.reserve_resources(&task).await?;
        
        // Execute with monitoring
        let result = self.perform_task(task).await?;
        
        // Post-execution updates
        self.update_reputation(result.quality).await?;
        self.claim_reward(result.value).await?;
        
        Ok(result)
    }
}

AI-Powered Decision Making

use claude_integration::ClaudeAPI;
use ml_models::{ReinforcementLearning, DecisionTree};

pub struct DecisionEngine {
    claude_client: ClaudeAPI,
    rl_model: ReinforcementLearning,
    decision_tree: DecisionTree,
    experience_buffer: ExperienceReplay,
}

impl DecisionEngine {
    pub async fn make_decision(&self, context: &Context) -> Decision {
        // Multi-modal decision making
        let claude_suggestion = self.claude_client
            .analyze_context(context)
            .await
            .unwrap_or_default();
            
        let rl_action = self.rl_model.predict(context);
        let tree_decision = self.decision_tree.classify(context);
        
        // Ensemble decision with confidence weighting
        Decision::ensemble(&[
            (claude_suggestion, 0.4),
            (rl_action, 0.35),
            (tree_decision, 0.25),
        ])
    }
}

2. Quantum-Resistant Security

Post-Quantum Cryptography Implementation

use ml_dsa_87::*;
use ml_kem_1024::*;
use hqc_256::*;

pub struct QuantumSecurity {
    signature_keypair: ML_DSA_87_KeyPair,
    encryption_keypair: ML_KEM_1024_KeyPair,
    code_keypair: HQC_256_KeyPair,
}

impl QuantumSecurity {
    pub fn new() -> Result<Self, CryptoError> {
        Ok(Self {
            signature_keypair: ML_DSA_87_KeyPair::generate()?,
            encryption_keypair: ML_KEM_1024_KeyPair::generate()?,
            code_keypair: HQC_256_KeyPair::generate()?,
        })
    }
    
    pub fn sign_message(&self, message: &[u8]) -> Result<Signature, SignError> {
        self.signature_keypair.sign(message)
    }
    
    pub fn encrypt_data(&self, data: &[u8]) -> Result<EncryptedData, EncryptError> {
        let (ciphertext, shared_secret) = self.encryption_keypair
            .public_key()
            .encrypt(data)?;
            
        Ok(EncryptedData {
            ciphertext,
            shared_secret,
        })
    }
    
    pub fn verify_and_decrypt(&self, encrypted: &EncryptedData) -> Result<Vec<u8>, CryptoError> {
        let plaintext = self.encryption_keypair
            .private_key()
            .decrypt(&encrypted.ciphertext, &encrypted.shared_secret)?;
            
        Ok(plaintext)
    }
}

3. Economic Self-Sufficiency

rUv Token Integration

use ruv_token::{Token, TokenBalance, MarketOperations};

pub struct EconomicEngine {
    balance: TokenBalance,
    market_client: MarketOperations,
    trading_strategy: TradingStrategy,
    cost_calculator: CostCalculator,
}

impl EconomicEngine {
    pub async fn manage_economics(&mut self) -> Result<(), EconomicError> {
        // Monitor resource costs
        let current_costs = self.cost_calculator.calculate_operational_costs().await?;
        
        // Execute trading strategy if needed
        if self.balance.available() < current_costs.projected_daily() {
            self.execute_earning_strategy().await?;
        }
        
        // Optimize resource allocation
        self.optimize_spending().await?;
        
        Ok(())
    }
    
    async fn execute_earning_strategy(&mut self) -> Result<(), TradingError> {
        match self.trading_strategy {
            TradingStrategy::TaskExecution => {
                // Bid on profitable tasks
                let tasks = TaskMarket::get_available_tasks().await?;
                for task in tasks.filter(|t| t.estimated_profit() > 0.0) {
                    self.bid_on_task(task).await?;
                }
            }
            TradingStrategy::DataServices => {
                // Offer data processing services
                self.advertise_capabilities().await?;
            }
            TradingStrategy::Computation => {
                // Rent computational resources
                self.offer_computation_resources().await?;
            }
        }
        
        Ok(())
    }
}

Setup and Configuration

Docker Deployment

DAA Agent Container

FROM rust:1.75-slim as builder

WORKDIR /app
COPY . .

# Build DAA components
RUN cargo build --release --bin daa-agent
RUN cargo build --release --bin daa-registry
RUN cargo build --release --bin daa-market

FROM debian:bookworm-slim

# Install quantum-crypto dependencies
RUN apt-get update && apt-get install -y \
    libssl3 \
    ca-certificates \
    liboqs-dev \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Copy binaries
COPY --from=builder /app/target/release/daa-agent /usr/local/bin/
COPY --from=builder /app/target/release/daa-registry /usr/local/bin/
COPY --from=builder /app/target/release/daa-market /usr/local/bin/

# Copy configuration
COPY config/ /app/config/

# Create non-root user
RUN useradd -r -s /bin/false daa-user
USER daa-user

EXPOSE 8080 8081 8082

CMD ["daa-agent", "--config", "/app/config/agent.toml"]

Docker Compose Configuration

version: '3.8'

services:
  daa-agent:
    build: .
    environment:
      - DAA_NODE_ID=${NODE_ID}
      - DAA_NETWORK=mainnet
      - RUST_LOG=info
      - QUANTUM_SECURITY=enabled
    volumes:
      - agent_data:/app/data
      - agent_keys:/app/keys
    networks:
      - daa-network
    ports:
      - "8080:8080"
      - "8081:8081"
    depends_on:
      - daa-registry
      - daa-market
      
  daa-registry:
    build: .
    command: ["daa-registry"]
    environment:
      - REGISTRY_MODE=distributed
      - REPLICATION_FACTOR=3
    volumes:
      - registry_data:/app/data
    networks:
      - daa-network
    ports:
      - "8082:8082"
      
  daa-market:
    build: .
    command: ["daa-market"]
    environment:
      - MARKET_TYPE=automated
      - TOKEN_NETWORK=ruv-mainnet
    volumes:
      - market_data:/app/data
    networks:
      - daa-network
    ports:
      - "8083:8083"
      
  quantum-gateway:
    image: quantum-gateway:latest
    environment:
      - ENCRYPTION_STANDARD=ML-KEM-1024
      - SIGNATURE_STANDARD=ML-DSA-87
    networks:
      - daa-network
    ports:
      - "9000:9000"

networks:
  daa-network:
    driver: bridge
    ipam:
      config:
        - subnet: 172.20.0.0/16

volumes:
  agent_data:
  agent_keys:
  registry_data:
  market_data:

Kubernetes Deployment

Agent Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: daa-agent-swarm
  namespace: daa-system
spec:
  replicas: 10
  selector:
    matchLabels:
      app: daa-agent
  template:
    metadata:
      labels:
        app: daa-agent
    spec:
      containers:
      - name: daa-agent
        image: daa-agent:latest
        resources:
          requests:
            memory: "1Gi"
            cpu: "500m"
          limits:
            memory: "2Gi"
            cpu: "1000m"
        env:
        - name: DAA_NODE_ID
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: QUANTUM_KEYSTORE
          value: "/keys"
        - name: DAA_REGISTRY_ENDPOINTS
          value: "daa-registry:8082"
        volumeMounts:
        - name: agent-keys
          mountPath: /keys
          readOnly: true
        - name: agent-config
          mountPath: /app/config
        ports:
        - containerPort: 8080
          name: api
        - containerPort: 8081
          name: p2p
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5
      volumes:
      - name: agent-keys
        secret:
          secretName: daa-quantum-keys
      - name: agent-config
        configMap:
          name: daa-agent-config

Registry StatefulSet

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: daa-registry
  namespace: daa-system
spec:
  serviceName: daa-registry
  replicas: 3
  selector:
    matchLabels:
      app: daa-registry
  template:
    metadata:
      labels:
        app: daa-registry
    spec:
      containers:
      - name: daa-registry
        image: daa-agent:latest
        command: ["daa-registry"]
        resources:
          requests:
            memory: "2Gi"
            cpu: "1000m"
          limits:
            memory: "4Gi"
            cpu: "2000m"
        env:
        - name: REGISTRY_ID
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: CLUSTER_PEERS
          value: "daa-registry-0.daa-registry:8082,daa-registry-1.daa-registry:8082,daa-registry-2.daa-registry:8082"
        volumeMounts:
        - name: registry-data
          mountPath: /app/data
        ports:
        - containerPort: 8082
          name: registry
  volumeClaimTemplates:
  - metadata:
      name: registry-data
    spec:
      accessModes: [ "ReadWriteOnce" ]
      resources:
        requests:
          storage: 10Gi

Scaling Strategies

Horizontal Agent Scaling

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: daa-agent-hpa
  namespace: daa-system
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: daa-agent-swarm
  minReplicas: 10
  maxReplicas: 1000
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80
  - type: Pods
    pods:
      metric:
        name: tasks_per_second
      target:
        type: AverageValue
        averageValue: "100"
  behavior:
    scaleUp:
      stabilizationWindowSeconds: 60
      policies:
      - type: Percent
        value: 100  # Double the pods
        periodSeconds: 60
    scaleDown:
      stabilizationWindowSeconds: 300
      policies:
      - type: Percent
        value: 10   # Remove 10% per period
        periodSeconds: 60

Load Balancing Configuration

apiVersion: v1
kind: Service
metadata:
  name: daa-agent-service
  namespace: daa-system
  annotations:
    service.beta.kubernetes.io/aws-load-balancer-type: "nlb"
    service.beta.kubernetes.io/aws-load-balancer-backend-protocol: "tcp"
spec:
  type: LoadBalancer
  selector:
    app: daa-agent
  ports:
  - name: api
    port: 80
    targetPort: 8080
    protocol: TCP
  - name: p2p
    port: 8081
    targetPort: 8081
    protocol: TCP
  sessionAffinity: ClientIP
  sessionAffinityConfig:
    clientIP:
      timeoutSeconds: 3600

Monitoring Setup

Prometheus Metrics

use prometheus::{Counter, Histogram, IntGauge, Registry};

pub struct DAA_Metrics {
    pub agents_active: IntGauge,
    pub tasks_completed: Counter,
    pub task_duration: Histogram,
    pub economic_balance: IntGauge,
    pub quantum_operations: Counter,
    pub network_messages: Counter,
}

impl DAA_Metrics {
    pub fn new(registry: &Registry) -> Self {
        let metrics = Self {
            agents_active: IntGauge::new(
                "daa_agents_active_total",
                "Number of active DAA agents"
            ).unwrap(),
            
            tasks_completed: Counter::new(
                "daa_tasks_completed_total",
                "Total number of completed tasks"
            ).unwrap(),
            
            task_duration: Histogram::with_opts(
                prometheus::HistogramOpts::new(
                    "daa_task_duration_seconds",
                    "Task execution duration"
                ).buckets(vec![0.1, 0.5, 1.0, 5.0, 10.0, 30.0, 60.0])
            ).unwrap(),
            
            economic_balance: IntGauge::new(
                "daa_economic_balance_ruv",
                "Current rUv token balance"
            ).unwrap(),
            
            quantum_operations: Counter::new(
                "daa_quantum_operations_total",
                "Total quantum cryptographic operations"
            ).unwrap(),
            
            network_messages: Counter::new(
                "daa_network_messages_total",
                "Total network messages processed"
            ).unwrap(),
        };
        
        // Register all metrics
        registry.register(Box::new(metrics.agents_active.clone())).unwrap();
        registry.register(Box::new(metrics.tasks_completed.clone())).unwrap();
        registry.register(Box::new(metrics.task_duration.clone())).unwrap();
        registry.register(Box::new(metrics.economic_balance.clone())).unwrap();
        registry.register(Box::new(metrics.quantum_operations.clone())).unwrap();
        registry.register(Box::new(metrics.network_messages.clone())).unwrap();
        
        metrics
    }
}

Grafana Dashboard Configuration

{
  "dashboard": {
    "title": "DAA Infrastructure Monitoring",
    "panels": [
      {
        "title": "Active Agents",
        "type": "stat",
        "targets": [
          {
            "expr": "daa_agents_active_total",
            "legendFormat": "Active Agents"
          }
        ]
      },
      {
        "title": "Task Completion Rate",
        "type": "graph",
        "targets": [
          {
            "expr": "rate(daa_tasks_completed_total[5m])",
            "legendFormat": "Tasks/Second"
          }
        ]
      },
      {
        "title": "Economic Balance Distribution",
        "type": "histogram",
        "targets": [
          {
            "expr": "histogram_quantile(0.95, daa_economic_balance_ruv)",
            "legendFormat": "95th Percentile"
          }
        ]
      },
      {
        "title": "Quantum Security Operations",
        "type": "graph",
        "targets": [
          {
            "expr": "rate(daa_quantum_operations_total[1m])",
            "legendFormat": "Quantum Ops/Minute"
          }
        ]
      }
    ]
  }
}

Security Considerations

Network Security

  • Anonymous networking through .dark domains and onion routing
  • Quantum-resistant encryption for all communications
  • Byzantine fault tolerance for consensus operations
  • Distributed key management with threshold cryptography

Agent Security

  • Sandboxed execution environment for agent code
  • Resource quotas to prevent resource exhaustion
  • Reputation-based trust system for agent interactions
  • Cryptographic agent identity verification

Economic Security

  • Multi-signature wallets for high-value transactions
  • Automated fraud detection using ML models
  • Rate limiting for economic operations
  • Audit trails for all financial transactions

Production Deployment Checklist

Pre-Deployment

  • Quantum cryptographic keys generated and secured
  • Network topology planned and configured
  • Economic parameters set and validated
  • Monitoring and alerting configured
  • Backup and recovery procedures tested

Deployment

  • Deploy registry nodes first (3+ for consensus)
  • Deploy market infrastructure
  • Deploy agent swarm with gradual scaling
  • Verify quantum security functionality
  • Test economic transactions

Post-Deployment

  • Monitor agent spawning and registration
  • Verify task execution and completion
  • Check economic balance management
  • Validate quantum security operations
  • Monitor network performance and consensus

This infrastructure provides a robust foundation for deploying distributed autonomous agents with quantum-resistant security and economic self-sufficiency.

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