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    Standalone swarm coordination - up to 100+ agents, 4 topologies, hive-mind, consensus

    Package Exports

    • @turtlepusher/swarm
    • @turtlepusher/swarm/agent-pool
    • @turtlepusher/swarm/application/commands/create-task.command
    • @turtlepusher/swarm/application/commands/spawn-agent.command
    • @turtlepusher/swarm/application/index
    • @turtlepusher/swarm/application/services/swarm-application-service
    • @turtlepusher/swarm/attention-coordinator
    • @turtlepusher/swarm/consensus/byzantine
    • @turtlepusher/swarm/consensus/gossip
    • @turtlepusher/swarm/consensus/index
    • @turtlepusher/swarm/consensus/raft
    • @turtlepusher/swarm/coordination/agent-registry
    • @turtlepusher/swarm/coordination/index
    • @turtlepusher/swarm/coordination/swarm-hub
    • @turtlepusher/swarm/coordination/task-orchestrator
    • @turtlepusher/swarm/domain/entities/agent
    • @turtlepusher/swarm/domain/entities/task
    • @turtlepusher/swarm/domain/index
    • @turtlepusher/swarm/domain/repositories/agent-repository.interface
    • @turtlepusher/swarm/domain/repositories/task-repository.interface
    • @turtlepusher/swarm/domain/services/coordination-service
    • @turtlepusher/swarm/federation-hub
    • @turtlepusher/swarm/index
    • @turtlepusher/swarm/message-bus
    • @turtlepusher/swarm/queen-coordinator
    • @turtlepusher/swarm/shared/events
    • @turtlepusher/swarm/shared/types
    • @turtlepusher/swarm/topology-manager
    • @turtlepusher/swarm/types
    • @turtlepusher/swarm/unified-coordinator
    • @turtlepusher/swarm/workers/index
    • @turtlepusher/swarm/workers/worker-dispatch

    Readme

    @turtlepusher/swarm

    npm version npm downloads License: MIT TypeScript ADR-003 Agents

    V3 Unified Swarm Coordination Module implementing ADR-003: Single Coordination Engine with Hive-Mind Intelligence

    Architecture (ADR-003)

    This module provides a complete multi-agent coordination system with hive-mind capabilities:

    Key Components

    @turtlepusher/swarm
    ├── UnifiedSwarmCoordinator ⭐ CANONICAL ENGINE
    │   ├── Configurable agent count (default 15, max 100+)
    │   ├── Domain-based task routing
    │   ├── Parallel execution across domains
    │   ├── Multiple consensus algorithms
    │   ├── 4 topology types (mesh, hierarchical, centralized, hybrid)
    │   └── Performance: <100ms coordination
    │
    ├── QueenCoordinator 👑 HIVE-MIND INTELLIGENCE
    │   ├── Strategic task analysis & decomposition
    │   ├── Agent capability-based delegation
    │   ├── Swarm health monitoring & bottleneck detection
    │   ├── 5 consensus types (majority, supermajority, unanimous, weighted, queen-override)
    │   └── Learning from outcomes
    │
    ├── AttentionCoordinator 🧠 ATTENTION MECHANISMS
    │   ├── Flash Attention (2.49x-7.47x speedup)
    │   ├── Multi-Head Attention (8 heads)
    │   ├── Linear Attention (O(n) complexity)
    │   ├── Hyperbolic Attention (Poincaré hierarchies)
    │   ├── Mixture of Experts (MoE) routing
    │   └── GraphRoPE (topology-aware positioning)
    │
    ├── FederationHub 🌐 CROSS-SWARM COORDINATION
    │   ├── Ephemeral agent spawning with TTL
    │   ├── Cross-swarm messaging
    │   ├── Federation-wide consensus voting
    │   └── Auto-cleanup & heartbeat tracking
    │
    ├── ConsensusEngines 🗳️ DISTRIBUTED AGREEMENT
    │   ├── Raft (leader election, log replication)
    │   ├── Byzantine (fault-tolerant, 2/3 supermajority)
    │   └── Gossip (epidemic protocol for large swarms)
    │
    └── SwarmHub (deprecated) - Thin facade for backward compatibility

    ⚠️ Agent Count: Configurable, Not Limited

    The default 15-agent architecture is a recommendation, not a hard limit:

    // Default: 15-agent V3 architecture
    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'hierarchical', maxAgents: 15 },
    });
    
    // Scale up: 50 agents
    const largeCoordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'mesh', maxAgents: 50 },
    });
    
    // Maximum: 100+ agents (DEFAULT_MAX_AGENTS = 100)
    const enterpriseCoordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'hybrid', maxAgents: 100 },
    });
    import { createUnifiedSwarmCoordinator } from '@turtlepusher/swarm';
    
    // Create coordinator
    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'hierarchical', maxAgents: 15 },
      consensus: { algorithm: 'raft', threshold: 0.66 },
    });
    
    // Initialize
    await coordinator.initialize();
    
    // Spawn 15-agent hierarchy
    const agents = await coordinator.spawnFullHierarchy();
    console.log(`Spawned ${agents.size} agents across 5 domains`);
    
    // Submit tasks to specific domains
    const securityTaskId = await coordinator.submitTask({
      type: 'review',
      name: 'CVE Security Audit',
      priority: 'critical',
      maxRetries: 3,
    });
    
    await coordinator.assignTaskToDomain(securityTaskId, 'security');
    
    // Parallel execution across domains
    const results = await coordinator.executeParallel([
      { task: { type: 'coding', name: 'Core Implementation' }, domain: 'core' },
      { task: { type: 'testing', name: 'Security Tests' }, domain: 'security' },
      { task: { type: 'documentation', name: 'API Docs' }, domain: 'integration' },
    ]);
    
    console.log(`Completed ${results.filter(r => r.success).length} tasks in parallel`);
    
    // Get swarm status
    const status = coordinator.getStatus();
    console.log('Domain Status:', status.domains);
    console.log('Metrics:', status.metrics);
    
    // Shutdown
    await coordinator.shutdown();

    15-Agent Domain Architecture

    The coordinator manages 5 domains with specific agent assignments:

    Domain Agents Capabilities
    Queen 1 Top-level coordination, consensus, planning
    Security 2-4 Security architecture, CVE fixes, threat modeling
    Core 5-9 DDD design, memory unification, type modernization
    Integration 10-12 agentic-flow integration, CLI, neural features
    Support 13-15 TDD testing, performance, deployment

    Domain-Based Task Routing

    // Route tasks to optimal domains
    await coordinator.assignTaskToDomain(securityTask, 'security');
    await coordinator.assignTaskToDomain(coreTask, 'core');
    await coordinator.assignTaskToDomain(integrationTask, 'integration');
    
    // Get agents by domain
    const securityAgents = coordinator.getAgentsByDomain('security');
    console.log(`Security domain has ${securityAgents.length} agents`);
    
    // Get domain status
    const status = coordinator.getStatus();
    status.domains.forEach(domain => {
      console.log(`${domain.name}: ${domain.availableAgents}/${domain.agentCount} available`);
    });

    Parallel Execution

    Execute tasks across multiple domains simultaneously for maximum throughput:

    const tasks = [
      { task: { type: 'coding', name: 'Implement Auth' }, domain: 'core' },
      { task: { type: 'testing', name: 'Security Tests' }, domain: 'security' },
      { task: { type: 'review', name: 'Code Review' }, domain: 'support' },
    ];
    
    const results = await coordinator.executeParallel(tasks);
    
    // Check results
    results.forEach(result => {
      if (result.success) {
        console.log(`${result.domain}: ${result.durationMs}ms`);
      } else {
        console.error(`${result.domain}: ${result.error?.message}`);
      }
    });

    Topology Support

    Choose the coordination pattern that fits your needs:

    Topology Best For Scalability Latency
    Hierarchical Queen-led swarms O(n), up to 100+ 15-35ms
    Mesh Distributed workloads O(n²), up to 20 10-40ms
    Centralized Simple coordination O(n), up to 50 10-20ms
    Hybrid Large mixed workloads O(n), up to 200 20-50ms

    Hierarchical (Default)

    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'hierarchical', maxAgents: 15 },
    });
    • Queen agent coordinates domain leads
    • Domain leads manage worker agents
    • Best for domain-organized V3 architecture

    Mesh

    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'mesh', maxAgents: 20 },
    });
    • Limited peer-to-peer connections (max ~10 per node)
    • No central coordinator
    • Best for distributed workloads under 20 agents

    Centralized

    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'centralized', maxAgents: 50 },
    });
    • Single coordinator hub manages all agents
    • Simplest to reason about
    • Best for small to medium swarms

    Hybrid (Best for Scale)

    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'hybrid', maxAgents: 100 },
    });
    • Mesh workers + hierarchical coordinators
    • Combines benefits of both patterns
    • Best for large-scale enterprise deployments

    Consensus Algorithms

    Choose how agents reach agreement:

    Raft (Default)

    const coordinator = createUnifiedSwarmCoordinator({
      consensus: { algorithm: 'raft', threshold: 0.66 },
    });
    • Leader-based consensus
    • Strong consistency guarantees
    • Target: <100ms consensus time

    Byzantine Fault Tolerance

    const coordinator = createUnifiedSwarmCoordinator({
      consensus: { algorithm: 'byzantine', threshold: 0.66 },
    });
    • Handles malicious agents
    • Byzantine fault tolerance
    • Higher overhead but more secure

    Gossip Protocol

    const coordinator = createUnifiedSwarmCoordinator({
      consensus: { algorithm: 'gossip', threshold: 0.66 },
    });
    • Eventual consistency
    • Low overhead
    • Best for large swarms

    Performance Targets

    The coordinator is optimized for V3 performance requirements:

    Metric Target Actual
    Coordination Latency <100ms Verified in tests
    Consensus Time <100ms Verified in tests
    Message Throughput >1000 msgs/sec Verified in tests
    Agent Utilization >85% Achieved via parallel execution

    Performance Monitoring

    const report = coordinator.getPerformanceReport();
    
    console.log('Coordination Latency:', {
      p50: report.coordinationLatencyP50,
      p99: report.coordinationLatencyP99,
    });
    
    console.log('Throughput:', {
      messagesPerSec: report.messagesPerSecond,
      tasksPerSec: report.taskThroughput,
    });
    
    console.log('Utilization:', {
      agentUtilization: report.agentUtilization,
      consensusSuccessRate: report.consensusSuccessRate,
    });

    Backward Compatibility (SwarmHub)

    For existing code using SwarmHub, the compatibility layer is maintained:

    import { createSwarmHub } from '@turtlepusher/swarm';
    
    // ⚠️ DEPRECATED: Use createUnifiedSwarmCoordinator() instead
    const hub = createSwarmHub();
    await hub.initialize();
    
    // SwarmHub delegates all operations to UnifiedSwarmCoordinator
    const coordinator = hub.getCoordinator();
    
    // Use coordinator for advanced features
    await coordinator.executeParallel(tasks);

    Migration from SwarmHub

    // OLD (deprecated)
    import { createSwarmHub } from '@turtlepusher/swarm';
    const hub = createSwarmHub();
    await hub.initialize();
    await hub.spawnAllAgents();
    
    // NEW (recommended)
    import { createUnifiedSwarmCoordinator } from '@turtlepusher/swarm';
    const coordinator = createUnifiedSwarmCoordinator();
    await coordinator.initialize();
    await coordinator.spawnFullHierarchy();

    Hive-Mind Intelligence (Queen Coordinator)

    The Queen Coordinator provides intelligent task orchestration:

    import { createQueenCoordinator } from '@turtlepusher/swarm';
    
    const queen = createQueenCoordinator({
      swarmCoordinator: coordinator,
      // Optional: connect to neural learning system
      // neuralSystem: myNeuralSystem,
      // memoryService: myMemoryService,
    });
    
    // Analyze a complex task
    const analysis = await queen.analyzeTask({
      id: 'task-1',
      type: 'security-audit',
      description: 'Comprehensive CVE audit of authentication system',
    });
    
    console.log('Task Analysis:', {
      complexity: analysis.complexity,        // 'low' | 'medium' | 'high' | 'critical'
      estimatedDuration: analysis.estimatedDuration,
      requiredCapabilities: analysis.requiredCapabilities,
      suggestedSubtasks: analysis.subtasks,
    });
    
    // Delegate to optimal agents
    const plan = await queen.delegateToAgents(task, analysis);
    console.log('Delegation Plan:', {
      primaryAgent: plan.primaryAgent,
      backupAgents: plan.backupAgents,
      parallelAssignments: plan.parallelAssignments,
    });
    
    // Monitor swarm health
    const health = await queen.monitorSwarmHealth();
    console.log('Health Report:', {
      overallStatus: health.status,
      bottlenecks: health.bottlenecks,
      alerts: health.alerts,
      recommendations: health.recommendations,
    });
    
    // Coordinate consensus with 5 types
    const decision = await queen.coordinateConsensus({
      type: 'deployment',
      value: { version: '3.0.0', environment: 'production' },
      consensusType: 'supermajority', // 'majority' | 'supermajority' | 'unanimous' | 'weighted' | 'queen-override'
    });

    Attention Mechanisms

    Six attention mechanisms for intelligent agent coordination:

    import { createAttentionCoordinator } from '@turtlepusher/swarm';
    
    const attention = createAttentionCoordinator({
      topology: coordinator.getTopology(),
    });
    
    // Flash Attention - 2.49x-7.47x speedup for long sequences
    const flashResult = await attention.coordinate(agents, task, { type: 'flash' });
    
    // Multi-Head Attention - 8 parallel attention heads
    const multiHeadResult = await attention.coordinate(agents, task, { type: 'multi-head' });
    
    // Linear Attention - O(n) complexity for very long sequences
    const linearResult = await attention.coordinate(agents, task, { type: 'linear' });
    
    // Hyperbolic Attention - Poincaré distance for hierarchies
    const hyperbolicResult = await attention.coordinate(agents, task, { type: 'hyperbolic' });
    
    // Mixture of Experts - Route to top-k best agents
    const moeResult = await attention.coordinate(agents, task, {
      type: 'moe',
      topK: 3,
      loadBalancing: true,
    });
    
    // GraphRoPE - Topology-aware position encoding
    const graphResult = await attention.coordinate(agents, task, { type: 'graph-rope' });

    Federation Hub (Cross-Swarm Coordination)

    Coordinate multiple swarms with ephemeral agents:

    import { createFederationHub, getDefaultFederationHub } from '@turtlepusher/swarm';
    
    // Get singleton hub or create custom
    const hub = getDefaultFederationHub();
    // or: const hub = createFederationHub({ maxSwarms: 10 });
    
    // Register swarms
    await hub.registerSwarm('swarm-security', {
      coordinator: securityCoordinator,
      capabilities: ['security-audit', 'penetration-testing'],
    });
    
    await hub.registerSwarm('swarm-dev', {
      coordinator: devCoordinator,
      capabilities: ['coding', 'testing', 'review'],
    });
    
    // Spawn ephemeral agent (auto-cleanup after TTL)
    const { agentId } = await hub.spawnEphemeral({
      swarmId: 'swarm-security',
      ttlMs: 300000, // 5 minutes
      task: { type: 'quick-audit', target: 'auth-module' },
    });
    
    // Cross-swarm messaging
    await hub.sendMessage({
      from: 'swarm-dev',
      to: 'swarm-security',
      type: 'audit-request',
      payload: { module: 'auth', priority: 'high' },
    });
    
    // Federation-wide consensus
    const vote = await hub.proposeConsensus({
      topic: 'release-v3',
      options: ['approve', 'reject', 'defer'],
      timeout: 30000,
    });
    
    // Get federation stats
    const stats = hub.getStats();
    console.log('Federation:', {
      swarms: stats.swarmCount,
      ephemeralAgents: stats.ephemeralAgentCount,
      messagesSent: stats.messageCount,
    });

    Advanced Features

    Agent Pool Management

    // Get domain-specific pool
    const corePool = coordinator.getDomainPool('core');
    const stats = corePool?.getPoolStats();
    
    console.log('Core Domain Pool:', {
      total: stats?.total,
      available: stats?.available,
      busy: stats?.busy,
    });
    
    // Auto-scaling is built-in
    // - Scale up at 80% utilization
    // - Scale down at 20% utilization

    Custom Agent Registration

    // Register agent with automatic domain assignment
    const { agentId, domain } = await coordinator.registerAgentWithDomain(
      {
        name: 'security-agent-2',
        type: 'specialist',
        status: 'idle',
        capabilities: {
          codeReview: true,
          securityAudit: true,
        },
        // ... other agent properties
      },
      2 // Agent number 2 → security domain
    );
    
    console.log(`Registered ${agentId} in ${domain} domain`);

    Event Monitoring

    coordinator.on('agent.joined', (event) => {
      console.log('Agent joined:', event.data.agentId);
    });
    
    coordinator.on('task.completed', (event) => {
      console.log('Task completed:', event.data.taskId);
    });
    
    coordinator.on('consensus.achieved', (event) => {
      console.log('Consensus achieved:', event.data.approvalRate);
    });
    
    coordinator.on('swarm.initialized', (event) => {
      console.log('Swarm initialized:', event.data.swarmId);
    });

    API Reference

    UnifiedSwarmCoordinator

    Lifecycle

    • initialize(): Promise<void> - Initialize coordinator
    • shutdown(): Promise<void> - Shutdown coordinator
    • pause(): Promise<void> - Pause operations
    • resume(): Promise<void> - Resume operations

    Agent Management

    • registerAgent(agent): Promise<string> - Register agent
    • registerAgentWithDomain(agent, number): Promise<{agentId, domain}> - Register with domain
    • unregisterAgent(id): Promise<void> - Unregister agent
    • spawnFullHierarchy(): Promise<Map<number, {agentId, domain}>> - Spawn 15 agents
    • getAgent(id): AgentState | undefined - Get agent by ID
    • getAllAgents(): AgentState[] - Get all agents
    • getAgentsByDomain(domain): AgentState[] - Get agents in domain

    Task Management

    • submitTask(task): Promise<string> - Submit task
    • assignTaskToDomain(taskId, domain): Promise<string | undefined> - Assign to domain
    • executeParallel(tasks): Promise<ParallelExecutionResult[]> - Parallel execution
    • cancelTask(taskId): Promise<void> - Cancel task
    • getTask(id): TaskDefinition | undefined - Get task by ID

    Coordination

    • proposeConsensus(value): Promise<ConsensusResult> - Propose consensus
    • broadcastMessage(payload, priority): Promise<void> - Broadcast message

    Monitoring

    • getState(): CoordinatorState - Get current state
    • getMetrics(): CoordinatorMetrics - Get metrics
    • getPerformanceReport(): PerformanceReport - Get performance stats
    • getStatus(): {swarmId, status, domains, metrics} - Get comprehensive status

    Integration with agentic-flow@alpha

    This module can integrate with agentic-flow@alpha for enhanced capabilities:

    import { createUnifiedSwarmCoordinator } from '@turtlepusher/swarm';
    import { AgenticFlowBridge } from '@turtlepusher/integration';
    
    // Connect to agentic-flow for enhanced features
    const bridge = new AgenticFlowBridge({
      agenticFlow: { version: 'alpha' },
    });
    
    const coordinator = createUnifiedSwarmCoordinator({
      topology: { type: 'hierarchical', maxAgents: 15 },
      // Enable agentic-flow features via bridge
      extensions: {
        transport: bridge.getQuicTransport(),     // QUIC 0-RTT
        learning: bridge.getSwarmLearningOptimizer(),
      },
    });

    Available from agentic-flow@alpha

    Feature Status Description
    QUIC Transport 🔌 Via bridge 0-RTT connections, 50-70% faster
    Swarm Learning Optimizer 🔌 Via bridge Auto topology recommendations
    E2B Sandbox Agents 🔌 Via bridge Isolated execution environments
    P2P with GunDB/IPFS 🔌 Via bridge Free decentralized coordination
    WASM Acceleration ⏳ Planned HNSW indexing, semantic routing

    Roadmap: Future Enhancements

    Based on agentic-flow@alpha capabilities that could be integrated:

    Priority 1 (High Impact)

    • Native QUIC transport with HTTP/2 fallback
    • Swarm learning optimizer for auto-topology
    • Free P2P provider integration (GunDB, IPFS)

    Priority 2 (Medium Impact)

    • WASM-accelerated member indexing
    • E2B sandbox agent specialization
    • Enhanced message types with fuel/memory budgets

    Priority 3 (Nice to Have)

    • Advanced gossip variants
    • CRDT synchronization
    • Production-grade Ed25519/X25519 cryptography

    Contributing

    This module follows ADR-003: Single Coordination Engine. When contributing:

    1. All coordination logic goes in UnifiedSwarmCoordinator
    2. SwarmHub is a thin facade - no new logic there
    3. Domain-based routing should be used for organized hierarchies
    4. Performance targets must be maintained (<100ms coordination)
    5. New features should integrate via the extensions API

    License

    MIT


    ADR-003 Compliance: This module implements a single canonical coordination engine with hive-mind intelligence, 6 attention mechanisms, federation support, and backward compatibility via facade pattern.