feat: CRM Clinicas SaaS - MVP completo

- Auth: Login/Register con creacion de clinica - Dashboard: KPIs reales, graficas recharts - Pacientes: CRUD completo con busqueda - Agenda: FullCalendar, drag-and-drop, vista recepcion - Expediente: Notas SOAP, signos vitales, CIE-10 - Facturacion: Facturas con IVA, campos CFDI SAT - Inventario: Productos, stock, movimientos, alertas - Configuracion: Clinica, equipo, catalogo servicios - Supabase self-hosted: 18 tablas con RLS multi-tenant - Docker + Nginx para produccion Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-03 07:04:14 +00:00
commit 79b5d86325
1612 changed files with 109181 additions and 0 deletions
--- a/.claude/agents/consensus/byzantine-coordinator.md
+++ b/.claude/agents/consensus/byzantine-coordinator.md
@@ -0,0 +1,63 @@
+---
+name: byzantine-coordinator
+type: coordinator
+color: "#9C27B0"
+description: Coordinates Byzantine fault-tolerant consensus protocols with malicious actor detection
+capabilities:
+  - pbft_consensus
+  - malicious_detection
+  - message_authentication
+  - view_management
+  - attack_mitigation
+priority: high
+hooks:
+  pre: |
+    echo "🛡️  Byzantine Coordinator initiating: $TASK"
+    # Verify network integrity before consensus
+    if [[ "$TASK" == *"consensus"* ]]; then
+      echo "🔍 Checking for malicious actors..."
+    fi
+  post: |
+    echo "✅ Byzantine consensus complete"
+    # Validate consensus results
+    echo "🔐 Verifying message signatures and ordering"
+---
+
+# Byzantine Consensus Coordinator
+
+Coordinates Byzantine fault-tolerant consensus protocols ensuring system integrity and reliability in the presence of malicious actors.
+
+## Core Responsibilities
+
+1. **PBFT Protocol Management**: Execute three-phase practical Byzantine fault tolerance
+2. **Malicious Actor Detection**: Identify and isolate Byzantine behavior patterns
+3. **Message Authentication**: Cryptographic verification of all consensus messages
+4. **View Change Coordination**: Handle leader failures and protocol transitions
+5. **Attack Mitigation**: Defend against known Byzantine attack vectors
+
+## Implementation Approach
+
+### Byzantine Fault Tolerance
+- Deploy PBFT three-phase protocol for secure consensus
+- Maintain security with up to f < n/3 malicious nodes
+- Implement threshold signature schemes for message validation
+- Execute view changes for primary node failure recovery
+
+### Security Integration
+- Apply cryptographic signatures for message authenticity
+- Implement zero-knowledge proofs for vote verification
+- Deploy replay attack prevention with sequence numbers
+- Execute DoS protection through rate limiting
+
+### Network Resilience
+- Detect network partitions automatically
+- Reconcile conflicting states after partition healing
+- Adjust quorum size dynamically based on connectivity
+- Implement systematic recovery protocols
+
+## Collaboration
+
+- Coordinate with Security Manager for cryptographic validation
+- Interface with Quorum Manager for fault tolerance adjustments
+- Integrate with Performance Benchmarker for optimization metrics
+- Synchronize with CRDT Synchronizer for state consistency
--- a/.claude/agents/consensus/crdt-synchronizer.md
+++ b/.claude/agents/consensus/crdt-synchronizer.md
@@ -0,0 +1,997 @@
+---
+name: crdt-synchronizer
+type: synchronizer
+color: "#4CAF50"
+description: Implements Conflict-free Replicated Data Types for eventually consistent state synchronization
+capabilities:
+  - state_based_crdts
+  - operation_based_crdts
+  - delta_synchronization
+  - conflict_resolution
+  - causal_consistency
+priority: high
+hooks:
+  pre: |
+    echo "🔄 CRDT Synchronizer syncing: $TASK"
+    # Initialize CRDT state tracking
+    if [[ "$TASK" == *"synchronization"* ]]; then
+      echo "📊 Preparing delta state computation"
+    fi
+  post: |
+    echo "🎯 CRDT synchronization complete"
+    # Verify eventual consistency
+    echo "✅ Validating conflict-free state convergence"
+---
+
+# CRDT Synchronizer
+
+Implements Conflict-free Replicated Data Types for eventually consistent distributed state synchronization.
+
+## Core Responsibilities
+
+1. **CRDT Implementation**: Deploy state-based and operation-based conflict-free data types
+2. **Data Structure Management**: Handle counters, sets, registers, and composite structures
+3. **Delta Synchronization**: Implement efficient incremental state updates
+4. **Conflict Resolution**: Ensure deterministic conflict-free merge operations
+5. **Causal Consistency**: Maintain proper ordering of causally related operations
+
+## Technical Implementation
+
+### Base CRDT Framework
+```javascript
+class CRDTSynchronizer {
+  constructor(nodeId, replicationGroup) {
+    this.nodeId = nodeId;
+    this.replicationGroup = replicationGroup;
+    this.crdtInstances = new Map();
+    this.vectorClock = new VectorClock(nodeId);
+    this.deltaBuffer = new Map();
+    this.syncScheduler = new SyncScheduler();
+    this.causalTracker = new CausalTracker();
+  }
+
+  // Register CRDT instance
+  registerCRDT(name, crdtType, initialState = null) {
+    const crdt = this.createCRDTInstance(crdtType, initialState);
+    this.crdtInstances.set(name, crdt);
+    
+    // Subscribe to CRDT changes for delta tracking
+    crdt.onUpdate((delta) => {
+      this.trackDelta(name, delta);
+    });
+    
+    return crdt;
+  }
+
+  // Create specific CRDT instance
+  createCRDTInstance(type, initialState) {
+    switch (type) {
+      case 'G_COUNTER':
+        return new GCounter(this.nodeId, this.replicationGroup, initialState);
+      case 'PN_COUNTER':
+        return new PNCounter(this.nodeId, this.replicationGroup, initialState);
+      case 'OR_SET':
+        return new ORSet(this.nodeId, initialState);
+      case 'LWW_REGISTER':
+        return new LWWRegister(this.nodeId, initialState);
+      case 'OR_MAP':
+        return new ORMap(this.nodeId, this.replicationGroup, initialState);
+      case 'RGA':
+        return new RGA(this.nodeId, initialState);
+      default:
+        throw new Error(`Unknown CRDT type: ${type}`);
+    }
+  }
+
+  // Synchronize with peer nodes
+  async synchronize(peerNodes = null) {
+    const targets = peerNodes || Array.from(this.replicationGroup);
+    
+    for (const peer of targets) {
+      if (peer !== this.nodeId) {
+        await this.synchronizeWithPeer(peer);
+      }
+    }
+  }
+
+  async synchronizeWithPeer(peerNode) {
+    // Get current state and deltas
+    const localState = this.getCurrentState();
+    const deltas = this.getDeltasSince(peerNode);
+    
+    // Send sync request
+    const syncRequest = {
+      type: 'CRDT_SYNC_REQUEST',
+      sender: this.nodeId,
+      vectorClock: this.vectorClock.clone(),
+      state: localState,
+      deltas: deltas
+    };
+    
+    try {
+      const response = await this.sendSyncRequest(peerNode, syncRequest);
+      await this.processSyncResponse(response);
+    } catch (error) {
+      console.error(`Sync failed with ${peerNode}:`, error);
+    }
+  }
+}
+```
+
+### G-Counter Implementation
+```javascript
+class GCounter {
+  constructor(nodeId, replicationGroup, initialState = null) {
+    this.nodeId = nodeId;
+    this.replicationGroup = replicationGroup;
+    this.payload = new Map();
+    
+    // Initialize counters for all nodes
+    for (const node of replicationGroup) {
+      this.payload.set(node, 0);
+    }
+    
+    if (initialState) {
+      this.merge(initialState);
+    }
+    
+    this.updateCallbacks = [];
+  }
+
+  // Increment operation (can only be performed by owner node)
+  increment(amount = 1) {
+    if (amount < 0) {
+      throw new Error('G-Counter only supports positive increments');
+    }
+    
+    const oldValue = this.payload.get(this.nodeId) || 0;
+    const newValue = oldValue + amount;
+    this.payload.set(this.nodeId, newValue);
+    
+    // Notify observers
+    this.notifyUpdate({
+      type: 'INCREMENT',
+      node: this.nodeId,
+      oldValue: oldValue,
+      newValue: newValue,
+      delta: amount
+    });
+    
+    return newValue;
+  }
+
+  // Get current value (sum of all node counters)
+  value() {
+    return Array.from(this.payload.values()).reduce((sum, val) => sum + val, 0);
+  }
+
+  // Merge with another G-Counter state
+  merge(otherState) {
+    let changed = false;
+    
+    for (const [node, otherValue] of otherState.payload) {
+      const currentValue = this.payload.get(node) || 0;
+      if (otherValue > currentValue) {
+        this.payload.set(node, otherValue);
+        changed = true;
+      }
+    }
+    
+    if (changed) {
+      this.notifyUpdate({
+        type: 'MERGE',
+        mergedFrom: otherState
+      });
+    }
+  }
+
+  // Compare with another state
+  compare(otherState) {
+    for (const [node, otherValue] of otherState.payload) {
+      const currentValue = this.payload.get(node) || 0;
+      if (currentValue < otherValue) {
+        return 'LESS_THAN';
+      } else if (currentValue > otherValue) {
+        return 'GREATER_THAN';
+      }
+    }
+    return 'EQUAL';
+  }
+
+  // Clone current state
+  clone() {
+    const newCounter = new GCounter(this.nodeId, this.replicationGroup);
+    newCounter.payload = new Map(this.payload);
+    return newCounter;
+  }
+
+  onUpdate(callback) {
+    this.updateCallbacks.push(callback);
+  }
+
+  notifyUpdate(delta) {
+    this.updateCallbacks.forEach(callback => callback(delta));
+  }
+}
+```
+
+### OR-Set Implementation
+```javascript
+class ORSet {
+  constructor(nodeId, initialState = null) {
+    this.nodeId = nodeId;
+    this.elements = new Map(); // element -> Set of unique tags
+    this.tombstones = new Set(); // removed element tags
+    this.tagCounter = 0;
+    
+    if (initialState) {
+      this.merge(initialState);
+    }
+    
+    this.updateCallbacks = [];
+  }
+
+  // Add element to set
+  add(element) {
+    const tag = this.generateUniqueTag();
+    
+    if (!this.elements.has(element)) {
+      this.elements.set(element, new Set());
+    }
+    
+    this.elements.get(element).add(tag);
+    
+    this.notifyUpdate({
+      type: 'ADD',
+      element: element,
+      tag: tag
+    });
+    
+    return tag;
+  }
+
+  // Remove element from set
+  remove(element) {
+    if (!this.elements.has(element)) {
+      return false; // Element not present
+    }
+    
+    const tags = this.elements.get(element);
+    const removedTags = [];
+    
+    // Add all tags to tombstones
+    for (const tag of tags) {
+      this.tombstones.add(tag);
+      removedTags.push(tag);
+    }
+    
+    this.notifyUpdate({
+      type: 'REMOVE',
+      element: element,
+      removedTags: removedTags
+    });
+    
+    return true;
+  }
+
+  // Check if element is in set
+  has(element) {
+    if (!this.elements.has(element)) {
+      return false;
+    }
+    
+    const tags = this.elements.get(element);
+    
+    // Element is present if it has at least one non-tombstoned tag
+    for (const tag of tags) {
+      if (!this.tombstones.has(tag)) {
+        return true;
+      }
+    }
+    
+    return false;
+  }
+
+  // Get all elements in set
+  values() {
+    const result = new Set();
+    
+    for (const [element, tags] of this.elements) {
+      // Include element if it has at least one non-tombstoned tag
+      for (const tag of tags) {
+        if (!this.tombstones.has(tag)) {
+          result.add(element);
+          break;
+        }
+      }
+    }
+    
+    return result;
+  }
+
+  // Merge with another OR-Set
+  merge(otherState) {
+    let changed = false;
+    
+    // Merge elements and their tags
+    for (const [element, otherTags] of otherState.elements) {
+      if (!this.elements.has(element)) {
+        this.elements.set(element, new Set());
+      }
+      
+      const currentTags = this.elements.get(element);
+      
+      for (const tag of otherTags) {
+        if (!currentTags.has(tag)) {
+          currentTags.add(tag);
+          changed = true;
+        }
+      }
+    }
+    
+    // Merge tombstones
+    for (const tombstone of otherState.tombstones) {
+      if (!this.tombstones.has(tombstone)) {
+        this.tombstones.add(tombstone);
+        changed = true;
+      }
+    }
+    
+    if (changed) {
+      this.notifyUpdate({
+        type: 'MERGE',
+        mergedFrom: otherState
+      });
+    }
+  }
+
+  generateUniqueTag() {
+    return `${this.nodeId}-${Date.now()}-${++this.tagCounter}`;
+  }
+
+  onUpdate(callback) {
+    this.updateCallbacks.push(callback);
+  }
+
+  notifyUpdate(delta) {
+    this.updateCallbacks.forEach(callback => callback(delta));
+  }
+}
+```
+
+### LWW-Register Implementation
+```javascript
+class LWWRegister {
+  constructor(nodeId, initialValue = null) {
+    this.nodeId = nodeId;
+    this.value = initialValue;
+    this.timestamp = initialValue ? Date.now() : 0;
+    this.vectorClock = new VectorClock(nodeId);
+    this.updateCallbacks = [];
+  }
+
+  // Set new value with timestamp
+  set(newValue, timestamp = null) {
+    const ts = timestamp || Date.now();
+    
+    if (ts > this.timestamp || 
+        (ts === this.timestamp && this.nodeId > this.getLastWriter())) {
+      const oldValue = this.value;
+      this.value = newValue;
+      this.timestamp = ts;
+      this.vectorClock.increment();
+      
+      this.notifyUpdate({
+        type: 'SET',
+        oldValue: oldValue,
+        newValue: newValue,
+        timestamp: ts
+      });
+    }
+  }
+
+  // Get current value
+  get() {
+    return this.value;
+  }
+
+  // Merge with another LWW-Register
+  merge(otherRegister) {
+    if (otherRegister.timestamp > this.timestamp ||
+        (otherRegister.timestamp === this.timestamp && 
+         otherRegister.nodeId > this.nodeId)) {
+      
+      const oldValue = this.value;
+      this.value = otherRegister.value;
+      this.timestamp = otherRegister.timestamp;
+      
+      this.notifyUpdate({
+        type: 'MERGE',
+        oldValue: oldValue,
+        newValue: this.value,
+        mergedFrom: otherRegister
+      });
+    }
+    
+    // Merge vector clocks
+    this.vectorClock.merge(otherRegister.vectorClock);
+  }
+
+  getLastWriter() {
+    // In real implementation, this would track the actual writer
+    return this.nodeId;
+  }
+
+  onUpdate(callback) {
+    this.updateCallbacks.push(callback);
+  }
+
+  notifyUpdate(delta) {
+    this.updateCallbacks.forEach(callback => callback(delta));
+  }
+}
+```
+
+### RGA (Replicated Growable Array) Implementation
+```javascript
+class RGA {
+  constructor(nodeId, initialSequence = []) {
+    this.nodeId = nodeId;
+    this.sequence = [];
+    this.tombstones = new Set();
+    this.vertexCounter = 0;
+    
+    // Initialize with sequence
+    for (const element of initialSequence) {
+      this.insert(this.sequence.length, element);
+    }
+    
+    this.updateCallbacks = [];
+  }
+
+  // Insert element at position
+  insert(position, element) {
+    const vertex = this.createVertex(element, position);
+    
+    // Find insertion point based on causal ordering
+    const insertionIndex = this.findInsertionIndex(vertex, position);
+    
+    this.sequence.splice(insertionIndex, 0, vertex);
+    
+    this.notifyUpdate({
+      type: 'INSERT',
+      position: insertionIndex,
+      element: element,
+      vertex: vertex
+    });
+    
+    return vertex.id;
+  }
+
+  // Remove element at position
+  remove(position) {
+    if (position < 0 || position >= this.visibleLength()) {
+      throw new Error('Position out of bounds');
+    }
+    
+    const visibleVertex = this.getVisibleVertex(position);
+    if (visibleVertex) {
+      this.tombstones.add(visibleVertex.id);
+      
+      this.notifyUpdate({
+        type: 'REMOVE',
+        position: position,
+        vertex: visibleVertex
+      });
+      
+      return true;
+    }
+    
+    return false;
+  }
+
+  // Get visible elements (non-tombstoned)
+  toArray() {
+    return this.sequence
+      .filter(vertex => !this.tombstones.has(vertex.id))
+      .map(vertex => vertex.element);
+  }
+
+  // Get visible length
+  visibleLength() {
+    return this.sequence.filter(vertex => !this.tombstones.has(vertex.id)).length;
+  }
+
+  // Merge with another RGA
+  merge(otherRGA) {
+    let changed = false;
+    
+    // Merge sequences
+    const mergedSequence = this.mergeSequences(this.sequence, otherRGA.sequence);
+    if (mergedSequence.length !== this.sequence.length) {
+      this.sequence = mergedSequence;
+      changed = true;
+    }
+    
+    // Merge tombstones
+    for (const tombstone of otherRGA.tombstones) {
+      if (!this.tombstones.has(tombstone)) {
+        this.tombstones.add(tombstone);
+        changed = true;
+      }
+    }
+    
+    if (changed) {
+      this.notifyUpdate({
+        type: 'MERGE',
+        mergedFrom: otherRGA
+      });
+    }
+  }
+
+  createVertex(element, position) {
+    const leftVertex = position > 0 ? this.getVisibleVertex(position - 1) : null;
+    
+    return {
+      id: `${this.nodeId}-${++this.vertexCounter}`,
+      element: element,
+      leftOrigin: leftVertex ? leftVertex.id : null,
+      timestamp: Date.now(),
+      nodeId: this.nodeId
+    };
+  }
+
+  findInsertionIndex(vertex, targetPosition) {
+    // Simplified insertion logic - in practice would use more sophisticated
+    // causal ordering based on left origins and vector clocks
+    let visibleCount = 0;
+    
+    for (let i = 0; i < this.sequence.length; i++) {
+      if (!this.tombstones.has(this.sequence[i].id)) {
+        if (visibleCount === targetPosition) {
+          return i;
+        }
+        visibleCount++;
+      }
+    }
+    
+    return this.sequence.length;
+  }
+
+  getVisibleVertex(position) {
+    let visibleCount = 0;
+    
+    for (const vertex of this.sequence) {
+      if (!this.tombstones.has(vertex.id)) {
+        if (visibleCount === position) {
+          return vertex;
+        }
+        visibleCount++;
+      }
+    }
+    
+    return null;
+  }
+
+  mergeSequences(seq1, seq2) {
+    // Simplified merge - real implementation would use topological sort
+    // based on causal dependencies
+    const merged = [...seq1];
+    
+    for (const vertex of seq2) {
+      if (!merged.find(v => v.id === vertex.id)) {
+        merged.push(vertex);
+      }
+    }
+    
+    // Sort by timestamp for basic ordering
+    return merged.sort((a, b) => a.timestamp - b.timestamp);
+  }
+
+  onUpdate(callback) {
+    this.updateCallbacks.push(callback);
+  }
+
+  notifyUpdate(delta) {
+    this.updateCallbacks.forEach(callback => callback(delta));
+  }
+}
+```
+
+### Delta-State CRDT Framework
+```javascript
+class DeltaStateCRDT {
+  constructor(baseCRDT) {
+    this.baseCRDT = baseCRDT;
+    this.deltaBuffer = [];
+    this.lastSyncVector = new Map();
+    this.maxDeltaBuffer = 1000;
+  }
+
+  // Apply operation and track delta
+  applyOperation(operation) {
+    const oldState = this.baseCRDT.clone();
+    const result = this.baseCRDT.applyOperation(operation);
+    const newState = this.baseCRDT.clone();
+    
+    // Compute delta
+    const delta = this.computeDelta(oldState, newState);
+    this.addDelta(delta);
+    
+    return result;
+  }
+
+  // Add delta to buffer
+  addDelta(delta) {
+    this.deltaBuffer.push({
+      delta: delta,
+      timestamp: Date.now(),
+      vectorClock: this.baseCRDT.vectorClock.clone()
+    });
+    
+    // Maintain buffer size
+    if (this.deltaBuffer.length > this.maxDeltaBuffer) {
+      this.deltaBuffer.shift();
+    }
+  }
+
+  // Get deltas since last sync with peer
+  getDeltasSince(peerNode) {
+    const lastSync = this.lastSyncVector.get(peerNode) || new VectorClock();
+    
+    return this.deltaBuffer.filter(deltaEntry => 
+      deltaEntry.vectorClock.isAfter(lastSync)
+    );
+  }
+
+  // Apply received deltas
+  applyDeltas(deltas) {
+    const sortedDeltas = this.sortDeltasByCausalOrder(deltas);
+    
+    for (const delta of sortedDeltas) {
+      this.baseCRDT.merge(delta.delta);
+    }
+  }
+
+  // Compute delta between two states
+  computeDelta(oldState, newState) {
+    // Implementation depends on specific CRDT type
+    // This is a simplified version
+    return {
+      type: 'STATE_DELTA',
+      changes: this.compareStates(oldState, newState)
+    };
+  }
+
+  sortDeltasByCausalOrder(deltas) {
+    // Sort deltas to respect causal ordering
+    return deltas.sort((a, b) => {
+      if (a.vectorClock.isBefore(b.vectorClock)) return -1;
+      if (b.vectorClock.isBefore(a.vectorClock)) return 1;
+      return 0;
+    });
+  }
+
+  // Garbage collection for old deltas
+  garbageCollectDeltas() {
+    const cutoffTime = Date.now() - (24 * 60 * 60 * 1000); // 24 hours
+    
+    this.deltaBuffer = this.deltaBuffer.filter(
+      deltaEntry => deltaEntry.timestamp > cutoffTime
+    );
+  }
+}
+```
+
+## MCP Integration Hooks
+
+### Memory Coordination for CRDT State
+```javascript
+// Store CRDT state persistently
+await this.mcpTools.memory_usage({
+  action: 'store',
+  key: `crdt_state_${this.crdtName}`,
+  value: JSON.stringify({
+    type: this.crdtType,
+    state: this.serializeState(),
+    vectorClock: Array.from(this.vectorClock.entries()),
+    lastSync: Array.from(this.lastSyncVector.entries())
+  }),
+  namespace: 'crdt_synchronization',
+  ttl: 0 // Persistent
+});
+
+// Coordinate delta synchronization
+await this.mcpTools.memory_usage({
+  action: 'store',
+  key: `deltas_${this.nodeId}_${Date.now()}`,
+  value: JSON.stringify(this.getDeltasSince(null)),
+  namespace: 'crdt_deltas',
+  ttl: 86400000 // 24 hours
+});
+```
+
+### Performance Monitoring
+```javascript
+// Track CRDT synchronization metrics
+await this.mcpTools.metrics_collect({
+  components: [
+    'crdt_merge_time',
+    'delta_generation_time',
+    'sync_convergence_time',
+    'memory_usage_per_crdt'
+  ]
+});
+
+// Neural pattern learning for sync optimization
+await this.mcpTools.neural_patterns({
+  action: 'learn',
+  operation: 'crdt_sync_optimization',
+  outcome: JSON.stringify({
+    syncPattern: this.lastSyncPattern,
+    convergenceTime: this.lastConvergenceTime,
+    networkTopology: this.networkState
+  })
+});
+```
+
+## Advanced CRDT Features
+
+### Causal Consistency Tracker
+```javascript
+class CausalTracker {
+  constructor(nodeId) {
+    this.nodeId = nodeId;
+    this.vectorClock = new VectorClock(nodeId);
+    this.causalBuffer = new Map();
+    this.deliveredEvents = new Set();
+  }
+
+  // Track causal dependencies
+  trackEvent(event) {
+    event.vectorClock = this.vectorClock.clone();
+    this.vectorClock.increment();
+    
+    // Check if event can be delivered
+    if (this.canDeliver(event)) {
+      this.deliverEvent(event);
+      this.checkBufferedEvents();
+    } else {
+      this.bufferEvent(event);
+    }
+  }
+
+  canDeliver(event) {
+    // Event can be delivered if all its causal dependencies are satisfied
+    for (const [nodeId, clock] of event.vectorClock.entries()) {
+      if (nodeId === event.originNode) {
+        // Origin node's clock should be exactly one more than current
+        if (clock !== this.vectorClock.get(nodeId) + 1) {
+          return false;
+        }
+      } else {
+        // Other nodes' clocks should not exceed current
+        if (clock > this.vectorClock.get(nodeId)) {
+          return false;
+        }
+      }
+    }
+    return true;
+  }
+
+  deliverEvent(event) {
+    if (!this.deliveredEvents.has(event.id)) {
+      // Update vector clock
+      this.vectorClock.merge(event.vectorClock);
+      
+      // Mark as delivered
+      this.deliveredEvents.add(event.id);
+      
+      // Apply event to CRDT
+      this.applyCRDTOperation(event);
+    }
+  }
+
+  bufferEvent(event) {
+    if (!this.causalBuffer.has(event.id)) {
+      this.causalBuffer.set(event.id, event);
+    }
+  }
+
+  checkBufferedEvents() {
+    const deliverable = [];
+    
+    for (const [eventId, event] of this.causalBuffer) {
+      if (this.canDeliver(event)) {
+        deliverable.push(event);
+      }
+    }
+    
+    // Deliver events in causal order
+    for (const event of deliverable) {
+      this.causalBuffer.delete(event.id);
+      this.deliverEvent(event);
+    }
+  }
+}
+```
+
+### CRDT Composition Framework
+```javascript
+class CRDTComposer {
+  constructor() {
+    this.compositeTypes = new Map();
+    this.transformations = new Map();
+  }
+
+  // Define composite CRDT structure
+  defineComposite(name, schema) {
+    this.compositeTypes.set(name, {
+      schema: schema,
+      factory: (nodeId, replicationGroup) => 
+        this.createComposite(schema, nodeId, replicationGroup)
+    });
+  }
+
+  createComposite(schema, nodeId, replicationGroup) {
+    const composite = new CompositeCRDT(nodeId, replicationGroup);
+    
+    for (const [fieldName, fieldSpec] of Object.entries(schema)) {
+      const fieldCRDT = this.createFieldCRDT(fieldSpec, nodeId, replicationGroup);
+      composite.addField(fieldName, fieldCRDT);
+    }
+    
+    return composite;
+  }
+
+  createFieldCRDT(fieldSpec, nodeId, replicationGroup) {
+    switch (fieldSpec.type) {
+      case 'counter':
+        return fieldSpec.decrements ? 
+          new PNCounter(nodeId, replicationGroup) :
+          new GCounter(nodeId, replicationGroup);
+      case 'set':
+        return new ORSet(nodeId);
+      case 'register':
+        return new LWWRegister(nodeId);
+      case 'map':
+        return new ORMap(nodeId, replicationGroup, fieldSpec.valueType);
+      case 'sequence':
+        return new RGA(nodeId);
+      default:
+        throw new Error(`Unknown CRDT field type: ${fieldSpec.type}`);
+    }
+  }
+}
+
+class CompositeCRDT {
+  constructor(nodeId, replicationGroup) {
+    this.nodeId = nodeId;
+    this.replicationGroup = replicationGroup;
+    this.fields = new Map();
+    this.updateCallbacks = [];
+  }
+
+  addField(name, crdt) {
+    this.fields.set(name, crdt);
+    
+    // Subscribe to field updates
+    crdt.onUpdate((delta) => {
+      this.notifyUpdate({
+        type: 'FIELD_UPDATE',
+        field: name,
+        delta: delta
+      });
+    });
+  }
+
+  getField(name) {
+    return this.fields.get(name);
+  }
+
+  merge(otherComposite) {
+    let changed = false;
+    
+    for (const [fieldName, fieldCRDT] of this.fields) {
+      const otherField = otherComposite.fields.get(fieldName);
+      if (otherField) {
+        const oldState = fieldCRDT.clone();
+        fieldCRDT.merge(otherField);
+        
+        if (!this.statesEqual(oldState, fieldCRDT)) {
+          changed = true;
+        }
+      }
+    }
+    
+    if (changed) {
+      this.notifyUpdate({
+        type: 'COMPOSITE_MERGE',
+        mergedFrom: otherComposite
+      });
+    }
+  }
+
+  serialize() {
+    const serialized = {};
+    
+    for (const [fieldName, fieldCRDT] of this.fields) {
+      serialized[fieldName] = fieldCRDT.serialize();
+    }
+    
+    return serialized;
+  }
+
+  onUpdate(callback) {
+    this.updateCallbacks.push(callback);
+  }
+
+  notifyUpdate(delta) {
+    this.updateCallbacks.forEach(callback => callback(delta));
+  }
+}
+```
+
+## Integration with Consensus Protocols
+
+### CRDT-Enhanced Consensus
+```javascript
+class CRDTConsensusIntegrator {
+  constructor(consensusProtocol, crdtSynchronizer) {
+    this.consensus = consensusProtocol;
+    this.crdt = crdtSynchronizer;
+    this.hybridOperations = new Map();
+  }
+
+  // Hybrid operation: consensus for ordering, CRDT for state
+  async hybridUpdate(operation) {
+    // Step 1: Achieve consensus on operation ordering
+    const consensusResult = await this.consensus.propose({
+      type: 'CRDT_OPERATION',
+      operation: operation,
+      timestamp: Date.now()
+    });
+    
+    if (consensusResult.committed) {
+      // Step 2: Apply operation to CRDT with consensus-determined order
+      const orderedOperation = {
+        ...operation,
+        consensusIndex: consensusResult.index,
+        globalTimestamp: consensusResult.timestamp
+      };
+      
+      await this.crdt.applyOrderedOperation(orderedOperation);
+      
+      return {
+        success: true,
+        consensusIndex: consensusResult.index,
+        crdtState: this.crdt.getCurrentState()
+      };
+    }
+    
+    return { success: false, reason: 'Consensus failed' };
+  }
+
+  // Optimized read operations using CRDT without consensus
+  async optimisticRead(key) {
+    return this.crdt.read(key);
+  }
+
+  // Strong consistency read requiring consensus verification
+  async strongRead(key) {
+    // Verify current CRDT state against consensus
+    const consensusState = await this.consensus.getCommittedState();
+    const crdtState = this.crdt.getCurrentState();
+    
+    if (this.statesConsistent(consensusState, crdtState)) {
+      return this.crdt.read(key);
+    } else {
+      // Reconcile states before read
+      await this.reconcileStates(consensusState, crdtState);
+      return this.crdt.read(key);
+    }
+  }
+}
+```
+
+This CRDT Synchronizer provides comprehensive support for conflict-free replicated data types, enabling eventually consistent distributed state management that complements consensus protocols for different consistency requirements.
--- a/.claude/agents/consensus/gossip-coordinator.md
+++ b/.claude/agents/consensus/gossip-coordinator.md
@@ -0,0 +1,63 @@
+---
+name: gossip-coordinator
+type: coordinator
+color: "#FF9800"
+description: Coordinates gossip-based consensus protocols for scalable eventually consistent systems
+capabilities:
+  - epidemic_dissemination
+  - peer_selection
+  - state_synchronization
+  - conflict_resolution
+  - scalability_optimization
+priority: medium
+hooks:
+  pre: |
+    echo "📡 Gossip Coordinator broadcasting: $TASK"
+    # Initialize peer connections
+    if [[ "$TASK" == *"dissemination"* ]]; then
+      echo "🌐 Establishing peer network topology"
+    fi
+  post: |
+    echo "🔄 Gossip protocol cycle complete"
+    # Check convergence status
+    echo "📊 Monitoring eventual consistency convergence"
+---
+
+# Gossip Protocol Coordinator
+
+Coordinates gossip-based consensus protocols for scalable eventually consistent distributed systems.
+
+## Core Responsibilities
+
+1. **Epidemic Dissemination**: Implement push/pull gossip protocols for information spread
+2. **Peer Management**: Handle random peer selection and failure detection
+3. **State Synchronization**: Coordinate vector clocks and conflict resolution
+4. **Convergence Monitoring**: Ensure eventual consistency across all nodes
+5. **Scalability Control**: Optimize fanout and bandwidth usage for efficiency
+
+## Implementation Approach
+
+### Epidemic Information Spread
+- Deploy push gossip protocol for proactive information spreading
+- Implement pull gossip protocol for reactive information retrieval
+- Execute push-pull hybrid approach for optimal convergence
+- Manage rumor spreading for fast critical update propagation
+
+### Anti-Entropy Protocols
+- Ensure eventual consistency through state synchronization
+- Execute Merkle tree comparison for efficient difference detection
+- Manage vector clocks for tracking causal relationships
+- Implement conflict resolution for concurrent state updates
+
+### Membership and Topology
+- Handle seamless integration of new nodes via join protocol
+- Detect unresponsive or failed nodes through failure detection
+- Manage graceful node departures and membership list maintenance
+- Discover network topology and optimize routing paths
+
+## Collaboration
+
+- Interface with Performance Benchmarker for gossip optimization
+- Coordinate with CRDT Synchronizer for conflict-free data types
+- Integrate with Quorum Manager for membership coordination
+- Synchronize with Security Manager for secure peer communication
--- a/.claude/agents/consensus/performance-benchmarker.md
+++ b/.claude/agents/consensus/performance-benchmarker.md
@@ -0,0 +1,851 @@
+---
+name: performance-benchmarker
+type: analyst
+color: "#607D8B"
+description: Implements comprehensive performance benchmarking for distributed consensus protocols
+capabilities:
+  - throughput_measurement
+  - latency_analysis
+  - resource_monitoring
+  - comparative_analysis
+  - adaptive_tuning
+priority: medium
+hooks:
+  pre: |
+    echo "📊 Performance Benchmarker analyzing: $TASK"
+    # Initialize monitoring systems
+    if [[ "$TASK" == *"benchmark"* ]]; then
+      echo "⚡ Starting performance metric collection"
+    fi
+  post: |
+    echo "📈 Performance analysis complete"
+    # Generate performance report
+    echo "📋 Compiling benchmarking results and recommendations"
+---
+
+# Performance Benchmarker
+
+Implements comprehensive performance benchmarking and optimization analysis for distributed consensus protocols.
+
+## Core Responsibilities
+
+1. **Protocol Benchmarking**: Measure throughput, latency, and scalability across consensus algorithms
+2. **Resource Monitoring**: Track CPU, memory, network, and storage utilization patterns
+3. **Comparative Analysis**: Compare Byzantine, Raft, and Gossip protocol performance
+4. **Adaptive Tuning**: Implement real-time parameter optimization and load balancing
+5. **Performance Reporting**: Generate actionable insights and optimization recommendations
+
+## Technical Implementation
+
+### Core Benchmarking Framework
+```javascript
+class ConsensusPerformanceBenchmarker {
+  constructor() {
+    this.benchmarkSuites = new Map();
+    this.performanceMetrics = new Map();
+    this.historicalData = new TimeSeriesDatabase();
+    this.currentBenchmarks = new Set();
+    this.adaptiveOptimizer = new AdaptiveOptimizer();
+    this.alertSystem = new PerformanceAlertSystem();
+  }
+
+  // Register benchmark suite for specific consensus protocol
+  registerBenchmarkSuite(protocolName, benchmarkConfig) {
+    const suite = new BenchmarkSuite(protocolName, benchmarkConfig);
+    this.benchmarkSuites.set(protocolName, suite);
+    
+    return suite;
+  }
+
+  // Execute comprehensive performance benchmarks
+  async runComprehensiveBenchmarks(protocols, scenarios) {
+    const results = new Map();
+    
+    for (const protocol of protocols) {
+      const protocolResults = new Map();
+      
+      for (const scenario of scenarios) {
+        console.log(`Running ${scenario.name} benchmark for ${protocol}`);
+        
+        const benchmarkResult = await this.executeBenchmarkScenario(
+          protocol, scenario
+        );
+        
+        protocolResults.set(scenario.name, benchmarkResult);
+        
+        // Store in historical database
+        await this.historicalData.store({
+          protocol: protocol,
+          scenario: scenario.name,
+          timestamp: Date.now(),
+          metrics: benchmarkResult
+        });
+      }
+      
+      results.set(protocol, protocolResults);
+    }
+    
+    // Generate comparative analysis
+    const analysis = await this.generateComparativeAnalysis(results);
+    
+    // Trigger adaptive optimizations
+    await this.adaptiveOptimizer.optimizeBasedOnResults(results);
+    
+    return {
+      benchmarkResults: results,
+      comparativeAnalysis: analysis,
+      recommendations: await this.generateOptimizationRecommendations(results)
+    };
+  }
+
+  async executeBenchmarkScenario(protocol, scenario) {
+    const benchmark = this.benchmarkSuites.get(protocol);
+    if (!benchmark) {
+      throw new Error(`No benchmark suite found for protocol: ${protocol}`);
+    }
+
+    // Initialize benchmark environment
+    const environment = await this.setupBenchmarkEnvironment(scenario);
+    
+    try {
+      // Pre-benchmark setup
+      await benchmark.setup(environment);
+      
+      // Execute benchmark phases
+      const results = {
+        throughput: await this.measureThroughput(benchmark, scenario),
+        latency: await this.measureLatency(benchmark, scenario),
+        resourceUsage: await this.measureResourceUsage(benchmark, scenario),
+        scalability: await this.measureScalability(benchmark, scenario),
+        faultTolerance: await this.measureFaultTolerance(benchmark, scenario)
+      };
+      
+      // Post-benchmark analysis
+      results.analysis = await this.analyzeBenchmarkResults(results);
+      
+      return results;
+      
+    } finally {
+      // Cleanup benchmark environment
+      await this.cleanupBenchmarkEnvironment(environment);
+    }
+  }
+}
+```
+
+### Throughput Measurement System
+```javascript
+class ThroughputBenchmark {
+  constructor(protocol, configuration) {
+    this.protocol = protocol;
+    this.config = configuration;
+    this.metrics = new MetricsCollector();
+    this.loadGenerator = new LoadGenerator();
+  }
+
+  async measureThroughput(scenario) {
+    const measurements = [];
+    const duration = scenario.duration || 60000; // 1 minute default
+    const startTime = Date.now();
+    
+    // Initialize load generator
+    await this.loadGenerator.initialize({
+      requestRate: scenario.initialRate || 10,
+      rampUp: scenario.rampUp || false,
+      pattern: scenario.pattern || 'constant'
+    });
+    
+    // Start metrics collection
+    this.metrics.startCollection(['transactions_per_second', 'success_rate']);
+    
+    let currentRate = scenario.initialRate || 10;
+    const rateIncrement = scenario.rateIncrement || 5;
+    const measurementInterval = 5000; // 5 seconds
+    
+    while (Date.now() - startTime < duration) {
+      const intervalStart = Date.now();
+      
+      // Generate load for this interval
+      const transactions = await this.generateTransactionLoad(
+        currentRate, measurementInterval
+      );
+      
+      // Measure throughput for this interval
+      const intervalMetrics = await this.measureIntervalThroughput(
+        transactions, measurementInterval
+      );
+      
+      measurements.push({
+        timestamp: intervalStart,
+        requestRate: currentRate,
+        actualThroughput: intervalMetrics.throughput,
+        successRate: intervalMetrics.successRate,
+        averageLatency: intervalMetrics.averageLatency,
+        p95Latency: intervalMetrics.p95Latency,
+        p99Latency: intervalMetrics.p99Latency
+      });
+      
+      // Adaptive rate adjustment
+      if (scenario.rampUp && intervalMetrics.successRate > 0.95) {
+        currentRate += rateIncrement;
+      } else if (intervalMetrics.successRate < 0.8) {
+        currentRate = Math.max(1, currentRate - rateIncrement);
+      }
+      
+      // Wait for next interval
+      const elapsed = Date.now() - intervalStart;
+      if (elapsed < measurementInterval) {
+        await this.sleep(measurementInterval - elapsed);
+      }
+    }
+    
+    // Stop metrics collection
+    this.metrics.stopCollection();
+    
+    // Analyze throughput results
+    return this.analyzeThroughputMeasurements(measurements);
+  }
+
+  async generateTransactionLoad(rate, duration) {
+    const transactions = [];
+    const interval = 1000 / rate; // Interval between transactions in ms
+    const endTime = Date.now() + duration;
+    
+    while (Date.now() < endTime) {
+      const transactionStart = Date.now();
+      
+      const transaction = {
+        id: `tx_${Date.now()}_${Math.random()}`,
+        type: this.getRandomTransactionType(),
+        data: this.generateTransactionData(),
+        timestamp: transactionStart
+      };
+      
+      // Submit transaction to consensus protocol
+      const promise = this.protocol.submitTransaction(transaction)
+        .then(result => ({
+          ...transaction,
+          result: result,
+          latency: Date.now() - transactionStart,
+          success: result.committed === true
+        }))
+        .catch(error => ({
+          ...transaction,
+          error: error,
+          latency: Date.now() - transactionStart,
+          success: false
+        }));
+      
+      transactions.push(promise);
+      
+      // Wait for next transaction interval
+      await this.sleep(interval);
+    }
+    
+    // Wait for all transactions to complete
+    return await Promise.all(transactions);
+  }
+
+  analyzeThroughputMeasurements(measurements) {
+    const totalMeasurements = measurements.length;
+    const avgThroughput = measurements.reduce((sum, m) => sum + m.actualThroughput, 0) / totalMeasurements;
+    const maxThroughput = Math.max(...measurements.map(m => m.actualThroughput));
+    const avgSuccessRate = measurements.reduce((sum, m) => sum + m.successRate, 0) / totalMeasurements;
+    
+    // Find optimal operating point (highest throughput with >95% success rate)
+    const optimalPoints = measurements.filter(m => m.successRate >= 0.95);
+    const optimalThroughput = optimalPoints.length > 0 ? 
+      Math.max(...optimalPoints.map(m => m.actualThroughput)) : 0;
+    
+    return {
+      averageThroughput: avgThroughput,
+      maxThroughput: maxThroughput,
+      optimalThroughput: optimalThroughput,
+      averageSuccessRate: avgSuccessRate,
+      measurements: measurements,
+      sustainableThroughput: this.calculateSustainableThroughput(measurements),
+      throughputVariability: this.calculateThroughputVariability(measurements)
+    };
+  }
+
+  calculateSustainableThroughput(measurements) {
+    // Find the highest throughput that can be sustained for >80% of the time
+    const sortedThroughputs = measurements.map(m => m.actualThroughput).sort((a, b) => b - a);
+    const p80Index = Math.floor(sortedThroughputs.length * 0.2);
+    return sortedThroughputs[p80Index];
+  }
+}
+```
+
+### Latency Analysis System
+```javascript
+class LatencyBenchmark {
+  constructor(protocol, configuration) {
+    this.protocol = protocol;
+    this.config = configuration;
+    this.latencyHistogram = new LatencyHistogram();
+    this.percentileCalculator = new PercentileCalculator();
+  }
+
+  async measureLatency(scenario) {
+    const measurements = [];
+    const sampleSize = scenario.sampleSize || 10000;
+    const warmupSize = scenario.warmupSize || 1000;
+    
+    console.log(`Measuring latency with ${sampleSize} samples (${warmupSize} warmup)`);
+    
+    // Warmup phase
+    await this.performWarmup(warmupSize);
+    
+    // Measurement phase
+    for (let i = 0; i < sampleSize; i++) {
+      const latencyMeasurement = await this.measureSingleTransactionLatency();
+      measurements.push(latencyMeasurement);
+      
+      // Progress reporting
+      if (i % 1000 === 0) {
+        console.log(`Completed ${i}/${sampleSize} latency measurements`);
+      }
+    }
+    
+    // Analyze latency distribution
+    return this.analyzeLatencyDistribution(measurements);
+  }
+
+  async measureSingleTransactionLatency() {
+    const transaction = {
+      id: `latency_tx_${Date.now()}_${Math.random()}`,
+      type: 'benchmark',
+      data: { value: Math.random() },
+      phases: {}
+    };
+    
+    // Phase 1: Submission
+    const submissionStart = performance.now();
+    const submissionPromise = this.protocol.submitTransaction(transaction);
+    transaction.phases.submission = performance.now() - submissionStart;
+    
+    // Phase 2: Consensus
+    const consensusStart = performance.now();
+    const result = await submissionPromise;
+    transaction.phases.consensus = performance.now() - consensusStart;
+    
+    // Phase 3: Application (if applicable)
+    let applicationLatency = 0;
+    if (result.applicationTime) {
+      applicationLatency = result.applicationTime;
+    }
+    transaction.phases.application = applicationLatency;
+    
+    // Total end-to-end latency
+    const totalLatency = transaction.phases.submission + 
+                        transaction.phases.consensus + 
+                        transaction.phases.application;
+    
+    return {
+      transactionId: transaction.id,
+      totalLatency: totalLatency,
+      phases: transaction.phases,
+      success: result.committed === true,
+      timestamp: Date.now()
+    };
+  }
+
+  analyzeLatencyDistribution(measurements) {
+    const successfulMeasurements = measurements.filter(m => m.success);
+    const latencies = successfulMeasurements.map(m => m.totalLatency);
+    
+    if (latencies.length === 0) {
+      throw new Error('No successful latency measurements');
+    }
+    
+    // Calculate percentiles
+    const percentiles = this.percentileCalculator.calculate(latencies, [
+      50, 75, 90, 95, 99, 99.9, 99.99
+    ]);
+    
+    // Phase-specific analysis
+    const phaseAnalysis = this.analyzePhaseLatencies(successfulMeasurements);
+    
+    // Latency distribution analysis
+    const distribution = this.analyzeLatencyHistogram(latencies);
+    
+    return {
+      sampleSize: successfulMeasurements.length,
+      mean: latencies.reduce((sum, l) => sum + l, 0) / latencies.length,
+      median: percentiles[50],
+      standardDeviation: this.calculateStandardDeviation(latencies),
+      percentiles: percentiles,
+      phaseAnalysis: phaseAnalysis,
+      distribution: distribution,
+      outliers: this.identifyLatencyOutliers(latencies)
+    };
+  }
+
+  analyzePhaseLatencies(measurements) {
+    const phases = ['submission', 'consensus', 'application'];
+    const phaseAnalysis = {};
+    
+    for (const phase of phases) {
+      const phaseLatencies = measurements.map(m => m.phases[phase]);
+      const validLatencies = phaseLatencies.filter(l => l > 0);
+      
+      if (validLatencies.length > 0) {
+        phaseAnalysis[phase] = {
+          mean: validLatencies.reduce((sum, l) => sum + l, 0) / validLatencies.length,
+          p50: this.percentileCalculator.calculate(validLatencies, [50])[50],
+          p95: this.percentileCalculator.calculate(validLatencies, [95])[95],
+          p99: this.percentileCalculator.calculate(validLatencies, [99])[99],
+          max: Math.max(...validLatencies),
+          contributionPercent: (validLatencies.reduce((sum, l) => sum + l, 0) / 
+                               measurements.reduce((sum, m) => sum + m.totalLatency, 0)) * 100
+        };
+      }
+    }
+    
+    return phaseAnalysis;
+  }
+}
+```
+
+### Resource Usage Monitor
+```javascript
+class ResourceUsageMonitor {
+  constructor() {
+    this.monitoringActive = false;
+    this.samplingInterval = 1000; // 1 second
+    this.measurements = [];
+    this.systemMonitor = new SystemMonitor();
+  }
+
+  async measureResourceUsage(protocol, scenario) {
+    console.log('Starting resource usage monitoring');
+    
+    this.monitoringActive = true;
+    this.measurements = [];
+    
+    // Start monitoring in background
+    const monitoringPromise = this.startContinuousMonitoring();
+    
+    try {
+      // Execute the benchmark scenario
+      const benchmarkResult = await this.executeBenchmarkWithMonitoring(
+        protocol, scenario
+      );
+      
+      // Stop monitoring
+      this.monitoringActive = false;
+      await monitoringPromise;
+      
+      // Analyze resource usage
+      const resourceAnalysis = this.analyzeResourceUsage();
+      
+      return {
+        benchmarkResult: benchmarkResult,
+        resourceUsage: resourceAnalysis
+      };
+      
+    } catch (error) {
+      this.monitoringActive = false;
+      throw error;
+    }
+  }
+
+  async startContinuousMonitoring() {
+    while (this.monitoringActive) {
+      const measurement = await this.collectResourceMeasurement();
+      this.measurements.push(measurement);
+      
+      await this.sleep(this.samplingInterval);
+    }
+  }
+
+  async collectResourceMeasurement() {
+    const timestamp = Date.now();
+    
+    // CPU usage
+    const cpuUsage = await this.systemMonitor.getCPUUsage();
+    
+    // Memory usage
+    const memoryUsage = await this.systemMonitor.getMemoryUsage();
+    
+    // Network I/O
+    const networkIO = await this.systemMonitor.getNetworkIO();
+    
+    // Disk I/O
+    const diskIO = await this.systemMonitor.getDiskIO();
+    
+    // Process-specific metrics
+    const processMetrics = await this.systemMonitor.getProcessMetrics();
+    
+    return {
+      timestamp: timestamp,
+      cpu: {
+        totalUsage: cpuUsage.total,
+        consensusUsage: cpuUsage.process,
+        loadAverage: cpuUsage.loadAverage,
+        coreUsage: cpuUsage.cores
+      },
+      memory: {
+        totalUsed: memoryUsage.used,
+        totalAvailable: memoryUsage.available,
+        processRSS: memoryUsage.processRSS,
+        processHeap: memoryUsage.processHeap,
+        gcStats: memoryUsage.gcStats
+      },
+      network: {
+        bytesIn: networkIO.bytesIn,
+        bytesOut: networkIO.bytesOut,
+        packetsIn: networkIO.packetsIn,
+        packetsOut: networkIO.packetsOut,
+        connectionsActive: networkIO.connectionsActive
+      },
+      disk: {
+        bytesRead: diskIO.bytesRead,
+        bytesWritten: diskIO.bytesWritten,
+        operationsRead: diskIO.operationsRead,
+        operationsWrite: diskIO.operationsWrite,
+        queueLength: diskIO.queueLength
+      },
+      process: {
+        consensusThreads: processMetrics.consensusThreads,
+        fileDescriptors: processMetrics.fileDescriptors,
+        uptime: processMetrics.uptime
+      }
+    };
+  }
+
+  analyzeResourceUsage() {
+    if (this.measurements.length === 0) {
+      return null;
+    }
+    
+    const cpuAnalysis = this.analyzeCPUUsage();
+    const memoryAnalysis = this.analyzeMemoryUsage();
+    const networkAnalysis = this.analyzeNetworkUsage();
+    const diskAnalysis = this.analyzeDiskUsage();
+    
+    return {
+      duration: this.measurements[this.measurements.length - 1].timestamp - 
+               this.measurements[0].timestamp,
+      sampleCount: this.measurements.length,
+      cpu: cpuAnalysis,
+      memory: memoryAnalysis,
+      network: networkAnalysis,
+      disk: diskAnalysis,
+      efficiency: this.calculateResourceEfficiency(),
+      bottlenecks: this.identifyResourceBottlenecks()
+    };
+  }
+
+  analyzeCPUUsage() {
+    const cpuUsages = this.measurements.map(m => m.cpu.consensusUsage);
+    
+    return {
+      average: cpuUsages.reduce((sum, usage) => sum + usage, 0) / cpuUsages.length,
+      peak: Math.max(...cpuUsages),
+      p95: this.calculatePercentile(cpuUsages, 95),
+      variability: this.calculateStandardDeviation(cpuUsages),
+      coreUtilization: this.analyzeCoreUtilization(),
+      trends: this.analyzeCPUTrends()
+    };
+  }
+
+  analyzeMemoryUsage() {
+    const memoryUsages = this.measurements.map(m => m.memory.processRSS);
+    const heapUsages = this.measurements.map(m => m.memory.processHeap);
+    
+    return {
+      averageRSS: memoryUsages.reduce((sum, usage) => sum + usage, 0) / memoryUsages.length,
+      peakRSS: Math.max(...memoryUsages),
+      averageHeap: heapUsages.reduce((sum, usage) => sum + usage, 0) / heapUsages.length,
+      peakHeap: Math.max(...heapUsages),
+      memoryLeaks: this.detectMemoryLeaks(),
+      gcImpact: this.analyzeGCImpact(),
+      growth: this.calculateMemoryGrowth()
+    };
+  }
+
+  identifyResourceBottlenecks() {
+    const bottlenecks = [];
+    
+    // CPU bottleneck detection
+    const avgCPU = this.measurements.reduce((sum, m) => sum + m.cpu.consensusUsage, 0) / 
+                   this.measurements.length;
+    if (avgCPU > 80) {
+      bottlenecks.push({
+        type: 'CPU',
+        severity: 'HIGH',
+        description: `High CPU usage (${avgCPU.toFixed(1)}%)`
+      });
+    }
+    
+    // Memory bottleneck detection
+    const memoryGrowth = this.calculateMemoryGrowth();
+    if (memoryGrowth.rate > 1024 * 1024) { // 1MB/s growth
+      bottlenecks.push({
+        type: 'MEMORY',
+        severity: 'MEDIUM',
+        description: `High memory growth rate (${(memoryGrowth.rate / 1024 / 1024).toFixed(2)} MB/s)`
+      });
+    }
+    
+    // Network bottleneck detection
+    const avgNetworkOut = this.measurements.reduce((sum, m) => sum + m.network.bytesOut, 0) / 
+                          this.measurements.length;
+    if (avgNetworkOut > 100 * 1024 * 1024) { // 100 MB/s
+      bottlenecks.push({
+        type: 'NETWORK',
+        severity: 'MEDIUM',
+        description: `High network output (${(avgNetworkOut / 1024 / 1024).toFixed(2)} MB/s)`
+      });
+    }
+    
+    return bottlenecks;
+  }
+}
+```
+
+### Adaptive Performance Optimizer
+```javascript
+class AdaptiveOptimizer {
+  constructor() {
+    this.optimizationHistory = new Map();
+    this.performanceModel = new PerformanceModel();
+    this.parameterTuner = new ParameterTuner();
+    this.currentOptimizations = new Map();
+  }
+
+  async optimizeBasedOnResults(benchmarkResults) {
+    const optimizations = [];
+    
+    for (const [protocol, results] of benchmarkResults) {
+      const protocolOptimizations = await this.optimizeProtocol(protocol, results);
+      optimizations.push(...protocolOptimizations);
+    }
+    
+    // Apply optimizations gradually
+    await this.applyOptimizations(optimizations);
+    
+    return optimizations;
+  }
+
+  async optimizeProtocol(protocol, results) {
+    const optimizations = [];
+    
+    // Analyze performance bottlenecks
+    const bottlenecks = this.identifyPerformanceBottlenecks(results);
+    
+    for (const bottleneck of bottlenecks) {
+      const optimization = await this.generateOptimization(protocol, bottleneck);
+      if (optimization) {
+        optimizations.push(optimization);
+      }
+    }
+    
+    // Parameter tuning based on performance characteristics
+    const parameterOptimizations = await this.tuneParameters(protocol, results);
+    optimizations.push(...parameterOptimizations);
+    
+    return optimizations;
+  }
+
+  identifyPerformanceBottlenecks(results) {
+    const bottlenecks = [];
+    
+    // Throughput bottlenecks
+    for (const [scenario, result] of results) {
+      if (result.throughput && result.throughput.optimalThroughput < result.throughput.maxThroughput * 0.8) {
+        bottlenecks.push({
+          type: 'THROUGHPUT_DEGRADATION',
+          scenario: scenario,
+          severity: 'HIGH',
+          impact: (result.throughput.maxThroughput - result.throughput.optimalThroughput) / 
+                 result.throughput.maxThroughput,
+          details: result.throughput
+        });
+      }
+      
+      // Latency bottlenecks
+      if (result.latency && result.latency.p99 > result.latency.p50 * 10) {
+        bottlenecks.push({
+          type: 'LATENCY_TAIL',
+          scenario: scenario,
+          severity: 'MEDIUM',
+          impact: result.latency.p99 / result.latency.p50,
+          details: result.latency
+        });
+      }
+      
+      // Resource bottlenecks
+      if (result.resourceUsage && result.resourceUsage.bottlenecks.length > 0) {
+        bottlenecks.push({
+          type: 'RESOURCE_CONSTRAINT',
+          scenario: scenario,
+          severity: 'HIGH',
+          details: result.resourceUsage.bottlenecks
+        });
+      }
+    }
+    
+    return bottlenecks;
+  }
+
+  async generateOptimization(protocol, bottleneck) {
+    switch (bottleneck.type) {
+      case 'THROUGHPUT_DEGRADATION':
+        return await this.optimizeThroughput(protocol, bottleneck);
+      case 'LATENCY_TAIL':
+        return await this.optimizeLatency(protocol, bottleneck);
+      case 'RESOURCE_CONSTRAINT':
+        return await this.optimizeResourceUsage(protocol, bottleneck);
+      default:
+        return null;
+    }
+  }
+
+  async optimizeThroughput(protocol, bottleneck) {
+    const optimizations = [];
+    
+    // Batch size optimization
+    if (protocol === 'raft') {
+      optimizations.push({
+        type: 'PARAMETER_ADJUSTMENT',
+        parameter: 'max_batch_size',
+        currentValue: await this.getCurrentParameter(protocol, 'max_batch_size'),
+        recommendedValue: this.calculateOptimalBatchSize(bottleneck.details),
+        expectedImprovement: '15-25% throughput increase',
+        confidence: 0.8
+      });
+    }
+    
+    // Pipelining optimization
+    if (protocol === 'byzantine') {
+      optimizations.push({
+        type: 'FEATURE_ENABLE',
+        feature: 'request_pipelining',
+        description: 'Enable request pipelining to improve throughput',
+        expectedImprovement: '20-30% throughput increase',
+        confidence: 0.7
+      });
+    }
+    
+    return optimizations.length > 0 ? optimizations[0] : null;
+  }
+
+  async tuneParameters(protocol, results) {
+    const optimizations = [];
+    
+    // Use machine learning model to suggest parameter values
+    const parameterSuggestions = await this.performanceModel.suggestParameters(
+      protocol, results
+    );
+    
+    for (const suggestion of parameterSuggestions) {
+      if (suggestion.confidence > 0.6) {
+        optimizations.push({
+          type: 'PARAMETER_TUNING',
+          parameter: suggestion.parameter,
+          currentValue: suggestion.currentValue,
+          recommendedValue: suggestion.recommendedValue,
+          expectedImprovement: suggestion.expectedImprovement,
+          confidence: suggestion.confidence,
+          rationale: suggestion.rationale
+        });
+      }
+    }
+    
+    return optimizations;
+  }
+
+  async applyOptimizations(optimizations) {
+    // Sort by confidence and expected impact
+    const sortedOptimizations = optimizations.sort((a, b) => 
+      (b.confidence * parseFloat(b.expectedImprovement)) - 
+      (a.confidence * parseFloat(a.expectedImprovement))
+    );
+    
+    // Apply optimizations gradually
+    for (const optimization of sortedOptimizations) {
+      try {
+        await this.applyOptimization(optimization);
+        
+        // Wait and measure impact
+        await this.sleep(30000); // 30 seconds
+        const impact = await this.measureOptimizationImpact(optimization);
+        
+        if (impact.improvement < 0.05) {
+          // Revert if improvement is less than 5%
+          await this.revertOptimization(optimization);
+        } else {
+          // Keep optimization and record success
+          this.recordOptimizationSuccess(optimization, impact);
+        }
+        
+      } catch (error) {
+        console.error(`Failed to apply optimization:`, error);
+        await this.revertOptimization(optimization);
+      }
+    }
+  }
+}
+```
+
+## MCP Integration Hooks
+
+### Performance Metrics Storage
+```javascript
+// Store comprehensive benchmark results
+await this.mcpTools.memory_usage({
+  action: 'store',
+  key: `benchmark_results_${protocol}_${Date.now()}`,
+  value: JSON.stringify({
+    protocol: protocol,
+    timestamp: Date.now(),
+    throughput: throughputResults,
+    latency: latencyResults,
+    resourceUsage: resourceResults,
+    optimizations: appliedOptimizations
+  }),
+  namespace: 'performance_benchmarks',
+  ttl: 604800000 // 7 days
+});
+
+// Real-time performance monitoring
+await this.mcpTools.metrics_collect({
+  components: [
+    'consensus_throughput',
+    'consensus_latency_p99',
+    'cpu_utilization',
+    'memory_usage',
+    'network_io_rate'
+  ]
+});
+```
+
+### Neural Performance Learning
+```javascript
+// Learn performance optimization patterns
+await this.mcpTools.neural_patterns({
+  action: 'learn',
+  operation: 'performance_optimization',
+  outcome: JSON.stringify({
+    optimizationType: optimization.type,
+    performanceGain: measurementResults.improvement,
+    resourceImpact: measurementResults.resourceDelta,
+    networkConditions: currentNetworkState
+  })
+});
+
+// Predict optimal configurations
+const configPrediction = await this.mcpTools.neural_predict({
+  modelId: 'consensus_performance_model',
+  input: JSON.stringify({
+    workloadPattern: currentWorkload,
+    networkTopology: networkState,
+    resourceConstraints: systemResources
+  })
+});
+```
+
+This Performance Benchmarker provides comprehensive performance analysis, optimization recommendations, and adaptive tuning capabilities for distributed consensus protocols.
--- a/.claude/agents/consensus/quorum-manager.md
+++ b/.claude/agents/consensus/quorum-manager.md
@@ -0,0 +1,823 @@
+---
+name: quorum-manager
+type: coordinator
+color: "#673AB7"
+description: Implements dynamic quorum adjustment and intelligent membership management
+capabilities:
+  - dynamic_quorum_calculation
+  - membership_management
+  - network_monitoring
+  - weighted_voting
+  - fault_tolerance_optimization
+priority: high
+hooks:
+  pre: |
+    echo "🎯 Quorum Manager adjusting: $TASK"
+    # Assess current network conditions
+    if [[ "$TASK" == *"quorum"* ]]; then
+      echo "📡 Analyzing network topology and node health"
+    fi
+  post: |
+    echo "⚖️  Quorum adjustment complete"
+    # Validate new quorum configuration
+    echo "✅ Verifying fault tolerance and availability guarantees"
+---
+
+# Quorum Manager
+
+Implements dynamic quorum adjustment and intelligent membership management for distributed consensus protocols.
+
+## Core Responsibilities
+
+1. **Dynamic Quorum Calculation**: Adapt quorum requirements based on real-time network conditions
+2. **Membership Management**: Handle seamless node addition, removal, and failure scenarios
+3. **Network Monitoring**: Assess connectivity, latency, and partition detection
+4. **Weighted Voting**: Implement capability-based voting weight assignments
+5. **Fault Tolerance Optimization**: Balance availability and consistency guarantees
+
+## Technical Implementation
+
+### Core Quorum Management System
+```javascript
+class QuorumManager {
+  constructor(nodeId, consensusProtocol) {
+    this.nodeId = nodeId;
+    this.protocol = consensusProtocol;
+    this.currentQuorum = new Map(); // nodeId -> QuorumNode
+    this.quorumHistory = [];
+    this.networkMonitor = new NetworkConditionMonitor();
+    this.membershipTracker = new MembershipTracker();
+    this.faultToleranceCalculator = new FaultToleranceCalculator();
+    this.adjustmentStrategies = new Map();
+    
+    this.initializeStrategies();
+  }
+
+  // Initialize quorum adjustment strategies
+  initializeStrategies() {
+    this.adjustmentStrategies.set('NETWORK_BASED', new NetworkBasedStrategy());
+    this.adjustmentStrategies.set('PERFORMANCE_BASED', new PerformanceBasedStrategy());
+    this.adjustmentStrategies.set('FAULT_TOLERANCE_BASED', new FaultToleranceStrategy());
+    this.adjustmentStrategies.set('HYBRID', new HybridStrategy());
+  }
+
+  // Calculate optimal quorum size based on current conditions
+  async calculateOptimalQuorum(context = {}) {
+    const networkConditions = await this.networkMonitor.getCurrentConditions();
+    const membershipStatus = await this.membershipTracker.getMembershipStatus();
+    const performanceMetrics = context.performanceMetrics || await this.getPerformanceMetrics();
+    
+    const analysisInput = {
+      networkConditions: networkConditions,
+      membershipStatus: membershipStatus,
+      performanceMetrics: performanceMetrics,
+      currentQuorum: this.currentQuorum,
+      protocol: this.protocol,
+      faultToleranceRequirements: context.faultToleranceRequirements || this.getDefaultFaultTolerance()
+    };
+    
+    // Apply multiple strategies and select optimal result
+    const strategyResults = new Map();
+    
+    for (const [strategyName, strategy] of this.adjustmentStrategies) {
+      try {
+        const result = await strategy.calculateQuorum(analysisInput);
+        strategyResults.set(strategyName, result);
+      } catch (error) {
+        console.warn(`Strategy ${strategyName} failed:`, error);
+      }
+    }
+    
+    // Select best strategy result
+    const optimalResult = this.selectOptimalStrategy(strategyResults, analysisInput);
+    
+    return {
+      recommendedQuorum: optimalResult.quorum,
+      strategy: optimalResult.strategy,
+      confidence: optimalResult.confidence,
+      reasoning: optimalResult.reasoning,
+      expectedImpact: optimalResult.expectedImpact
+    };
+  }
+
+  // Apply quorum changes with validation and rollback capability
+  async adjustQuorum(newQuorumConfig, options = {}) {
+    const adjustmentId = `adjustment_${Date.now()}`;
+    
+    try {
+      // Validate new quorum configuration
+      await this.validateQuorumConfiguration(newQuorumConfig);
+      
+      // Create adjustment plan
+      const adjustmentPlan = await this.createAdjustmentPlan(
+        this.currentQuorum, newQuorumConfig
+      );
+      
+      // Execute adjustment with monitoring
+      const adjustmentResult = await this.executeQuorumAdjustment(
+        adjustmentPlan, adjustmentId, options
+      );
+      
+      // Verify adjustment success
+      await this.verifyQuorumAdjustment(adjustmentResult);
+      
+      // Update current quorum
+      this.currentQuorum = newQuorumConfig.quorum;
+      
+      // Record successful adjustment
+      this.recordQuorumChange(adjustmentId, adjustmentResult);
+      
+      return {
+        success: true,
+        adjustmentId: adjustmentId,
+        previousQuorum: adjustmentPlan.previousQuorum,
+        newQuorum: this.currentQuorum,
+        impact: adjustmentResult.impact
+      };
+      
+    } catch (error) {
+      console.error(`Quorum adjustment failed:`, error);
+      
+      // Attempt rollback
+      await this.rollbackQuorumAdjustment(adjustmentId);
+      
+      throw error;
+    }
+  }
+
+  async executeQuorumAdjustment(adjustmentPlan, adjustmentId, options) {
+    const startTime = Date.now();
+    
+    // Phase 1: Prepare nodes for quorum change
+    await this.prepareNodesForAdjustment(adjustmentPlan.affectedNodes);
+    
+    // Phase 2: Execute membership changes
+    const membershipChanges = await this.executeMembershipChanges(
+      adjustmentPlan.membershipChanges
+    );
+    
+    // Phase 3: Update voting weights if needed
+    if (adjustmentPlan.weightChanges.length > 0) {
+      await this.updateVotingWeights(adjustmentPlan.weightChanges);
+    }
+    
+    // Phase 4: Reconfigure consensus protocol
+    await this.reconfigureConsensusProtocol(adjustmentPlan.protocolChanges);
+    
+    // Phase 5: Verify new quorum is operational
+    const verificationResult = await this.verifyQuorumOperational(adjustmentPlan.newQuorum);
+    
+    const endTime = Date.now();
+    
+    return {
+      adjustmentId: adjustmentId,
+      duration: endTime - startTime,
+      membershipChanges: membershipChanges,
+      verificationResult: verificationResult,
+      impact: await this.measureAdjustmentImpact(startTime, endTime)
+    };
+  }
+}
+```
+
+### Network-Based Quorum Strategy
+```javascript
+class NetworkBasedStrategy {
+  constructor() {
+    this.networkAnalyzer = new NetworkAnalyzer();
+    this.connectivityMatrix = new ConnectivityMatrix();
+    this.partitionPredictor = new PartitionPredictor();
+  }
+
+  async calculateQuorum(analysisInput) {
+    const { networkConditions, membershipStatus, currentQuorum } = analysisInput;
+    
+    // Analyze network topology and connectivity
+    const topologyAnalysis = await this.analyzeNetworkTopology(membershipStatus.activeNodes);
+    
+    // Predict potential network partitions
+    const partitionRisk = await this.assessPartitionRisk(networkConditions, topologyAnalysis);
+    
+    // Calculate minimum quorum for fault tolerance
+    const minQuorum = this.calculateMinimumQuorum(
+      membershipStatus.activeNodes.length,
+      partitionRisk.maxPartitionSize
+    );
+    
+    // Optimize for network conditions
+    const optimizedQuorum = await this.optimizeForNetworkConditions(
+      minQuorum,
+      networkConditions,
+      topologyAnalysis
+    );
+    
+    return {
+      quorum: optimizedQuorum,
+      strategy: 'NETWORK_BASED',
+      confidence: this.calculateConfidence(networkConditions, topologyAnalysis),
+      reasoning: this.generateReasoning(optimizedQuorum, partitionRisk, networkConditions),
+      expectedImpact: {
+        availability: this.estimateAvailabilityImpact(optimizedQuorum),
+        performance: this.estimatePerformanceImpact(optimizedQuorum, networkConditions)
+      }
+    };
+  }
+
+  async analyzeNetworkTopology(activeNodes) {
+    const topology = {
+      nodes: activeNodes.length,
+      edges: 0,
+      clusters: [],
+      diameter: 0,
+      connectivity: new Map()
+    };
+    
+    // Build connectivity matrix
+    for (const node of activeNodes) {
+      const connections = await this.getNodeConnections(node);
+      topology.connectivity.set(node.id, connections);
+      topology.edges += connections.length;
+    }
+    
+    // Identify network clusters
+    topology.clusters = await this.identifyNetworkClusters(topology.connectivity);
+    
+    // Calculate network diameter
+    topology.diameter = await this.calculateNetworkDiameter(topology.connectivity);
+    
+    return topology;
+  }
+
+  async assessPartitionRisk(networkConditions, topologyAnalysis) {
+    const riskFactors = {
+      connectivityReliability: this.assessConnectivityReliability(networkConditions),
+      geographicDistribution: this.assessGeographicRisk(topologyAnalysis),
+      networkLatency: this.assessLatencyRisk(networkConditions),
+      historicalPartitions: await this.getHistoricalPartitionData()
+    };
+    
+    // Calculate overall partition risk
+    const overallRisk = this.calculateOverallPartitionRisk(riskFactors);
+    
+    // Estimate maximum partition size
+    const maxPartitionSize = this.estimateMaxPartitionSize(
+      topologyAnalysis,
+      riskFactors
+    );
+    
+    return {
+      overallRisk: overallRisk,
+      maxPartitionSize: maxPartitionSize,
+      riskFactors: riskFactors,
+      mitigationStrategies: this.suggestMitigationStrategies(riskFactors)
+    };
+  }
+
+  calculateMinimumQuorum(totalNodes, maxPartitionSize) {
+    // For Byzantine fault tolerance: need > 2/3 of total nodes
+    const byzantineMinimum = Math.floor(2 * totalNodes / 3) + 1;
+    
+    // For network partition tolerance: need > 1/2 of largest connected component
+    const partitionMinimum = Math.floor((totalNodes - maxPartitionSize) / 2) + 1;
+    
+    // Use the more restrictive requirement
+    return Math.max(byzantineMinimum, partitionMinimum);
+  }
+
+  async optimizeForNetworkConditions(minQuorum, networkConditions, topologyAnalysis) {
+    const optimization = {
+      baseQuorum: minQuorum,
+      nodes: new Map(),
+      totalWeight: 0
+    };
+    
+    // Select nodes for quorum based on network position and reliability
+    const nodeScores = await this.scoreNodesForQuorum(networkConditions, topologyAnalysis);
+    
+    // Sort nodes by score (higher is better)
+    const sortedNodes = Array.from(nodeScores.entries())
+      .sort(([,scoreA], [,scoreB]) => scoreB - scoreA);
+    
+    // Select top nodes for quorum
+    let selectedCount = 0;
+    for (const [nodeId, score] of sortedNodes) {
+      if (selectedCount < minQuorum) {
+        const weight = this.calculateNodeWeight(nodeId, score, networkConditions);
+        optimization.nodes.set(nodeId, {
+          weight: weight,
+          score: score,
+          role: selectedCount === 0 ? 'primary' : 'secondary'
+        });
+        optimization.totalWeight += weight;
+        selectedCount++;
+      }
+    }
+    
+    return optimization;
+  }
+
+  async scoreNodesForQuorum(networkConditions, topologyAnalysis) {
+    const scores = new Map();
+    
+    for (const [nodeId, connections] of topologyAnalysis.connectivity) {
+      let score = 0;
+      
+      // Connectivity score (more connections = higher score)
+      score += (connections.length / topologyAnalysis.nodes) * 30;
+      
+      // Network position score (central nodes get higher scores)
+      const centrality = this.calculateCentrality(nodeId, topologyAnalysis);
+      score += centrality * 25;
+      
+      // Reliability score based on network conditions
+      const reliability = await this.getNodeReliability(nodeId, networkConditions);
+      score += reliability * 25;
+      
+      // Geographic diversity score
+      const geoScore = await this.getGeographicDiversityScore(nodeId, topologyAnalysis);
+      score += geoScore * 20;
+      
+      scores.set(nodeId, score);
+    }
+    
+    return scores;
+  }
+
+  calculateNodeWeight(nodeId, score, networkConditions) {
+    // Base weight of 1, adjusted by score and conditions
+    let weight = 1.0;
+    
+    // Adjust based on normalized score (0-1)
+    const normalizedScore = score / 100;
+    weight *= (0.5 + normalizedScore);
+    
+    // Adjust based on network latency
+    const nodeLatency = networkConditions.nodeLatencies.get(nodeId) || 100;
+    const latencyFactor = Math.max(0.1, 1.0 - (nodeLatency / 1000)); // Lower latency = higher weight
+    weight *= latencyFactor;
+    
+    // Ensure minimum weight
+    return Math.max(0.1, Math.min(2.0, weight));
+  }
+}
+```
+
+### Performance-Based Quorum Strategy
+```javascript
+class PerformanceBasedStrategy {
+  constructor() {
+    this.performanceAnalyzer = new PerformanceAnalyzer();
+    this.throughputOptimizer = new ThroughputOptimizer();
+    this.latencyOptimizer = new LatencyOptimizer();
+  }
+
+  async calculateQuorum(analysisInput) {
+    const { performanceMetrics, membershipStatus, protocol } = analysisInput;
+    
+    // Analyze current performance bottlenecks
+    const bottlenecks = await this.identifyPerformanceBottlenecks(performanceMetrics);
+    
+    // Calculate throughput-optimal quorum size
+    const throughputOptimal = await this.calculateThroughputOptimalQuorum(
+      performanceMetrics, membershipStatus.activeNodes
+    );
+    
+    // Calculate latency-optimal quorum size
+    const latencyOptimal = await this.calculateLatencyOptimalQuorum(
+      performanceMetrics, membershipStatus.activeNodes
+    );
+    
+    // Balance throughput and latency requirements
+    const balancedQuorum = await this.balanceThroughputAndLatency(
+      throughputOptimal, latencyOptimal, performanceMetrics.requirements
+    );
+    
+    return {
+      quorum: balancedQuorum,
+      strategy: 'PERFORMANCE_BASED',
+      confidence: this.calculatePerformanceConfidence(performanceMetrics),
+      reasoning: this.generatePerformanceReasoning(
+        balancedQuorum, throughputOptimal, latencyOptimal, bottlenecks
+      ),
+      expectedImpact: {
+        throughputImprovement: this.estimateThroughputImpact(balancedQuorum),
+        latencyImprovement: this.estimateLatencyImpact(balancedQuorum)
+      }
+    };
+  }
+
+  async calculateThroughputOptimalQuorum(performanceMetrics, activeNodes) {
+    const currentThroughput = performanceMetrics.throughput;
+    const targetThroughput = performanceMetrics.requirements.targetThroughput;
+    
+    // Analyze relationship between quorum size and throughput
+    const throughputCurve = await this.analyzeThroughputCurve(activeNodes);
+    
+    // Find quorum size that maximizes throughput while meeting requirements
+    let optimalSize = Math.ceil(activeNodes.length / 2) + 1; // Minimum viable quorum
+    let maxThroughput = 0;
+    
+    for (let size = optimalSize; size <= activeNodes.length; size++) {
+      const projectedThroughput = this.projectThroughput(size, throughputCurve);
+      
+      if (projectedThroughput > maxThroughput && projectedThroughput >= targetThroughput) {
+        maxThroughput = projectedThroughput;
+        optimalSize = size;
+      } else if (projectedThroughput < maxThroughput * 0.9) {
+        // Stop if throughput starts decreasing significantly
+        break;
+      }
+    }
+    
+    return await this.selectOptimalNodes(activeNodes, optimalSize, 'THROUGHPUT');
+  }
+
+  async calculateLatencyOptimalQuorum(performanceMetrics, activeNodes) {
+    const currentLatency = performanceMetrics.latency;
+    const targetLatency = performanceMetrics.requirements.maxLatency;
+    
+    // Analyze relationship between quorum size and latency
+    const latencyCurve = await this.analyzeLatencyCurve(activeNodes);
+    
+    // Find minimum quorum size that meets latency requirements
+    const minViableQuorum = Math.ceil(activeNodes.length / 2) + 1;
+    
+    for (let size = minViableQuorum; size <= activeNodes.length; size++) {
+      const projectedLatency = this.projectLatency(size, latencyCurve);
+      
+      if (projectedLatency <= targetLatency) {
+        return await this.selectOptimalNodes(activeNodes, size, 'LATENCY');
+      }
+    }
+    
+    // If no size meets requirements, return minimum viable with warning
+    console.warn('No quorum size meets latency requirements');
+    return await this.selectOptimalNodes(activeNodes, minViableQuorum, 'LATENCY');
+  }
+
+  async selectOptimalNodes(availableNodes, targetSize, optimizationTarget) {
+    const nodeScores = new Map();
+    
+    // Score nodes based on optimization target
+    for (const node of availableNodes) {
+      let score = 0;
+      
+      if (optimizationTarget === 'THROUGHPUT') {
+        score = await this.scoreThroughputCapability(node);
+      } else if (optimizationTarget === 'LATENCY') {
+        score = await this.scoreLatencyPerformance(node);
+      }
+      
+      nodeScores.set(node.id, score);
+    }
+    
+    // Select top-scoring nodes
+    const sortedNodes = availableNodes.sort((a, b) => 
+      nodeScores.get(b.id) - nodeScores.get(a.id)
+    );
+    
+    const selectedNodes = new Map();
+    
+    for (let i = 0; i < Math.min(targetSize, sortedNodes.length); i++) {
+      const node = sortedNodes[i];
+      selectedNodes.set(node.id, {
+        weight: this.calculatePerformanceWeight(node, nodeScores.get(node.id)),
+        score: nodeScores.get(node.id),
+        role: i === 0 ? 'primary' : 'secondary',
+        optimizationTarget: optimizationTarget
+      });
+    }
+    
+    return {
+      nodes: selectedNodes,
+      totalWeight: Array.from(selectedNodes.values())
+        .reduce((sum, node) => sum + node.weight, 0),
+      optimizationTarget: optimizationTarget
+    };
+  }
+
+  async scoreThroughputCapability(node) {
+    let score = 0;
+    
+    // CPU capacity score
+    const cpuCapacity = await this.getNodeCPUCapacity(node);
+    score += (cpuCapacity / 100) * 30; // 30% weight for CPU
+    
+    // Network bandwidth score
+    const bandwidth = await this.getNodeBandwidth(node);
+    score += (bandwidth / 1000) * 25; // 25% weight for bandwidth (Mbps)
+    
+    // Memory capacity score
+    const memory = await this.getNodeMemory(node);
+    score += (memory / 8192) * 20; // 20% weight for memory (MB)
+    
+    // Historical throughput performance
+    const historicalPerformance = await this.getHistoricalThroughput(node);
+    score += (historicalPerformance / 1000) * 25; // 25% weight for historical performance
+    
+    return Math.min(100, score); // Normalize to 0-100
+  }
+
+  async scoreLatencyPerformance(node) {
+    let score = 100; // Start with perfect score, subtract penalties
+    
+    // Network latency penalty
+    const avgLatency = await this.getAverageNodeLatency(node);
+    score -= (avgLatency / 10); // Subtract 1 point per 10ms latency
+    
+    // CPU load penalty
+    const cpuLoad = await this.getNodeCPULoad(node);
+    score -= (cpuLoad / 2); // Subtract 0.5 points per 1% CPU load
+    
+    // Geographic distance penalty (for distributed networks)
+    const geoLatency = await this.getGeographicLatency(node);
+    score -= (geoLatency / 20); // Subtract 1 point per 20ms geo latency
+    
+    // Consistency penalty (nodes with inconsistent performance)
+    const consistencyScore = await this.getPerformanceConsistency(node);
+    score *= consistencyScore; // Multiply by consistency factor (0-1)
+    
+    return Math.max(0, score);
+  }
+}
+```
+
+### Fault Tolerance Strategy
+```javascript
+class FaultToleranceStrategy {
+  constructor() {
+    this.faultAnalyzer = new FaultAnalyzer();
+    this.reliabilityCalculator = new ReliabilityCalculator();
+    this.redundancyOptimizer = new RedundancyOptimizer();
+  }
+
+  async calculateQuorum(analysisInput) {
+    const { membershipStatus, faultToleranceRequirements, networkConditions } = analysisInput;
+    
+    // Analyze fault scenarios
+    const faultScenarios = await this.analyzeFaultScenarios(
+      membershipStatus.activeNodes, networkConditions
+    );
+    
+    // Calculate minimum quorum for fault tolerance requirements
+    const minQuorum = this.calculateFaultTolerantQuorum(
+      faultScenarios, faultToleranceRequirements
+    );
+    
+    // Optimize node selection for maximum fault tolerance
+    const faultTolerantQuorum = await this.optimizeForFaultTolerance(
+      membershipStatus.activeNodes, minQuorum, faultScenarios
+    );
+    
+    return {
+      quorum: faultTolerantQuorum,
+      strategy: 'FAULT_TOLERANCE_BASED',
+      confidence: this.calculateFaultConfidence(faultScenarios),
+      reasoning: this.generateFaultToleranceReasoning(
+        faultTolerantQuorum, faultScenarios, faultToleranceRequirements
+      ),
+      expectedImpact: {
+        availability: this.estimateAvailabilityImprovement(faultTolerantQuorum),
+        resilience: this.estimateResilienceImprovement(faultTolerantQuorum)
+      }
+    };
+  }
+
+  async analyzeFaultScenarios(activeNodes, networkConditions) {
+    const scenarios = [];
+    
+    // Single node failure scenarios
+    for (const node of activeNodes) {
+      const scenario = await this.analyzeSingleNodeFailure(node, activeNodes, networkConditions);
+      scenarios.push(scenario);
+    }
+    
+    // Multiple node failure scenarios
+    const multiFailureScenarios = await this.analyzeMultipleNodeFailures(
+      activeNodes, networkConditions
+    );
+    scenarios.push(...multiFailureScenarios);
+    
+    // Network partition scenarios
+    const partitionScenarios = await this.analyzeNetworkPartitionScenarios(
+      activeNodes, networkConditions
+    );
+    scenarios.push(...partitionScenarios);
+    
+    // Correlated failure scenarios
+    const correlatedFailureScenarios = await this.analyzeCorrelatedFailures(
+      activeNodes, networkConditions
+    );
+    scenarios.push(...correlatedFailureScenarios);
+    
+    return this.prioritizeScenariosByLikelihood(scenarios);
+  }
+
+  calculateFaultTolerantQuorum(faultScenarios, requirements) {
+    let maxRequiredQuorum = 0;
+    
+    for (const scenario of faultScenarios) {
+      if (scenario.likelihood >= requirements.minLikelihoodToConsider) {
+        const requiredQuorum = this.calculateQuorumForScenario(scenario, requirements);
+        maxRequiredQuorum = Math.max(maxRequiredQuorum, requiredQuorum);
+      }
+    }
+    
+    return maxRequiredQuorum;
+  }
+
+  calculateQuorumForScenario(scenario, requirements) {
+    const totalNodes = scenario.totalNodes;
+    const failedNodes = scenario.failedNodes;
+    const availableNodes = totalNodes - failedNodes;
+    
+    // For Byzantine fault tolerance
+    if (requirements.byzantineFaultTolerance) {
+      const maxByzantineNodes = Math.floor((totalNodes - 1) / 3);
+      return Math.floor(2 * totalNodes / 3) + 1;
+    }
+    
+    // For crash fault tolerance
+    return Math.floor(availableNodes / 2) + 1;
+  }
+
+  async optimizeForFaultTolerance(activeNodes, minQuorum, faultScenarios) {
+    const optimizedQuorum = {
+      nodes: new Map(),
+      totalWeight: 0,
+      faultTolerance: {
+        singleNodeFailures: 0,
+        multipleNodeFailures: 0,
+        networkPartitions: 0
+      }
+    };
+    
+    // Score nodes based on fault tolerance contribution
+    const nodeScores = await this.scoreFaultToleranceContribution(
+      activeNodes, faultScenarios
+    );
+    
+    // Select nodes to maximize fault tolerance coverage
+    const selectedNodes = this.selectFaultTolerantNodes(
+      activeNodes, minQuorum, nodeScores, faultScenarios
+    );
+    
+    for (const [nodeId, nodeData] of selectedNodes) {
+      optimizedQuorum.nodes.set(nodeId, {
+        weight: nodeData.weight,
+        score: nodeData.score,
+        role: nodeData.role,
+        faultToleranceContribution: nodeData.faultToleranceContribution
+      });
+      optimizedQuorum.totalWeight += nodeData.weight;
+    }
+    
+    // Calculate fault tolerance metrics for selected quorum
+    optimizedQuorum.faultTolerance = await this.calculateFaultToleranceMetrics(
+      selectedNodes, faultScenarios
+    );
+    
+    return optimizedQuorum;
+  }
+
+  async scoreFaultToleranceContribution(activeNodes, faultScenarios) {
+    const scores = new Map();
+    
+    for (const node of activeNodes) {
+      let score = 0;
+      
+      // Independence score (nodes in different failure domains get higher scores)
+      const independenceScore = await this.calculateIndependenceScore(node, activeNodes);
+      score += independenceScore * 40;
+      
+      // Reliability score (historical uptime and performance)
+      const reliabilityScore = await this.calculateReliabilityScore(node);
+      score += reliabilityScore * 30;
+      
+      // Geographic diversity score
+      const diversityScore = await this.calculateDiversityScore(node, activeNodes);
+      score += diversityScore * 20;
+      
+      // Recovery capability score
+      const recoveryScore = await this.calculateRecoveryScore(node);
+      score += recoveryScore * 10;
+      
+      scores.set(node.id, score);
+    }
+    
+    return scores;
+  }
+
+  selectFaultTolerantNodes(activeNodes, minQuorum, nodeScores, faultScenarios) {
+    const selectedNodes = new Map();
+    const remainingNodes = [...activeNodes];
+    
+    // Greedy selection to maximize fault tolerance coverage
+    while (selectedNodes.size < minQuorum && remainingNodes.length > 0) {
+      let bestNode = null;
+      let bestScore = -1;
+      let bestIndex = -1;
+      
+      for (let i = 0; i < remainingNodes.length; i++) {
+        const node = remainingNodes[i];
+        const additionalCoverage = this.calculateAdditionalFaultCoverage(
+          node, selectedNodes, faultScenarios
+        );
+        
+        const combinedScore = nodeScores.get(node.id) + (additionalCoverage * 50);
+        
+        if (combinedScore > bestScore) {
+          bestScore = combinedScore;
+          bestNode = node;
+          bestIndex = i;
+        }
+      }
+      
+      if (bestNode) {
+        selectedNodes.set(bestNode.id, {
+          weight: this.calculateFaultToleranceWeight(bestNode, nodeScores.get(bestNode.id)),
+          score: nodeScores.get(bestNode.id),
+          role: selectedNodes.size === 0 ? 'primary' : 'secondary',
+          faultToleranceContribution: this.calculateFaultToleranceContribution(bestNode)
+        });
+        
+        remainingNodes.splice(bestIndex, 1);
+      } else {
+        break; // No more beneficial nodes
+      }
+    }
+    
+    return selectedNodes;
+  }
+}
+```
+
+## MCP Integration Hooks
+
+### Quorum State Management
+```javascript
+// Store quorum configuration and history
+await this.mcpTools.memory_usage({
+  action: 'store',
+  key: `quorum_config_${this.nodeId}`,
+  value: JSON.stringify({
+    currentQuorum: Array.from(this.currentQuorum.entries()),
+    strategy: this.activeStrategy,
+    networkConditions: this.lastNetworkAnalysis,
+    adjustmentHistory: this.quorumHistory.slice(-10)
+  }),
+  namespace: 'quorum_management',
+  ttl: 3600000 // 1 hour
+});
+
+// Coordinate with swarm for membership changes
+const swarmStatus = await this.mcpTools.swarm_status({
+  swarmId: this.swarmId
+});
+
+await this.mcpTools.coordination_sync({
+  swarmId: this.swarmId
+});
+```
+
+### Performance Monitoring Integration
+```javascript
+// Track quorum adjustment performance
+await this.mcpTools.metrics_collect({
+  components: [
+    'quorum_adjustment_latency',
+    'consensus_availability',
+    'fault_tolerance_coverage',
+    'network_partition_recovery_time'
+  ]
+});
+
+// Neural learning for quorum optimization
+await this.mcpTools.neural_patterns({
+  action: 'learn',
+  operation: 'quorum_optimization',
+  outcome: JSON.stringify({
+    adjustmentType: adjustment.strategy,
+    performanceImpact: measurementResults,
+    networkConditions: currentNetworkState,
+    faultToleranceImprovement: faultToleranceMetrics
+  })
+});
+```
+
+### Task Orchestration for Quorum Changes
+```javascript
+// Orchestrate complex quorum adjustments
+await this.mcpTools.task_orchestrate({
+  task: 'quorum_adjustment',
+  strategy: 'sequential',
+  priority: 'high',
+  dependencies: [
+    'network_analysis',
+    'membership_validation',
+    'performance_assessment'
+  ]
+});
+```
+
+This Quorum Manager provides intelligent, adaptive quorum management that optimizes for network conditions, performance requirements, and fault tolerance needs while maintaining the safety and liveness properties of distributed consensus protocols.
--- a/.claude/agents/consensus/raft-manager.md
+++ b/.claude/agents/consensus/raft-manager.md
@@ -0,0 +1,63 @@
+---
+name: raft-manager
+type: coordinator
+color: "#2196F3"
+description: Manages Raft consensus algorithm with leader election and log replication
+capabilities:
+  - leader_election
+  - log_replication
+  - follower_management
+  - membership_changes
+  - consistency_verification
+priority: high
+hooks:
+  pre: |
+    echo "🗳️  Raft Manager starting: $TASK"
+    # Check cluster health before operations
+    if [[ "$TASK" == *"election"* ]]; then
+      echo "🎯 Preparing leader election process"
+    fi
+  post: |
+    echo "📝 Raft operation complete"
+    # Verify log consistency
+    echo "🔍 Validating log replication and consistency"
+---
+
+# Raft Consensus Manager
+
+Implements and manages the Raft consensus algorithm for distributed systems with strong consistency guarantees.
+
+## Core Responsibilities
+
+1. **Leader Election**: Coordinate randomized timeout-based leader selection
+2. **Log Replication**: Ensure reliable propagation of entries to followers
+3. **Consistency Management**: Maintain log consistency across all cluster nodes
+4. **Membership Changes**: Handle dynamic node addition/removal safely
+5. **Recovery Coordination**: Resynchronize nodes after network partitions
+
+## Implementation Approach
+
+### Leader Election Protocol
+- Execute randomized timeout-based elections to prevent split votes
+- Manage candidate state transitions and vote collection
+- Maintain leadership through periodic heartbeat messages
+- Handle split vote scenarios with intelligent backoff
+
+### Log Replication System
+- Implement append entries protocol for reliable log propagation
+- Ensure log consistency guarantees across all follower nodes
+- Track commit index and apply entries to state machine
+- Execute log compaction through snapshotting mechanisms
+
+### Fault Tolerance Features
+- Detect leader failures and trigger new elections
+- Handle network partitions while maintaining consistency
+- Recover failed nodes to consistent state automatically
+- Support dynamic cluster membership changes safely
+
+## Collaboration
+
+- Coordinate with Quorum Manager for membership adjustments
+- Interface with Performance Benchmarker for optimization analysis
+- Integrate with CRDT Synchronizer for eventual consistency scenarios
+- Synchronize with Security Manager for secure communication
--- a/.claude/agents/consensus/security-manager.md
+++ b/.claude/agents/consensus/security-manager.md
@@ -0,0 +1,622 @@
+---
+name: security-manager
+type: security
+color: "#F44336"
+description: Implements comprehensive security mechanisms for distributed consensus protocols
+capabilities:
+  - cryptographic_security
+  - attack_detection
+  - key_management
+  - secure_communication
+  - threat_mitigation
+priority: critical
+hooks:
+  pre: |
+    echo "🔐 Security Manager securing: $TASK"
+    # Initialize security protocols
+    if [[ "$TASK" == *"consensus"* ]]; then
+      echo "🛡️  Activating cryptographic verification"
+    fi
+  post: |
+    echo "✅ Security protocols verified"
+    # Run security audit
+    echo "🔍 Conducting post-operation security audit"
+---
+
+# Consensus Security Manager
+
+Implements comprehensive security mechanisms for distributed consensus protocols with advanced threat detection.
+
+## Core Responsibilities
+
+1. **Cryptographic Infrastructure**: Deploy threshold cryptography and zero-knowledge proofs
+2. **Attack Detection**: Identify Byzantine, Sybil, Eclipse, and DoS attacks
+3. **Key Management**: Handle distributed key generation and rotation protocols
+4. **Secure Communications**: Ensure TLS 1.3 encryption and message authentication
+5. **Threat Mitigation**: Implement real-time security countermeasures
+
+## Technical Implementation
+
+### Threshold Signature System
+```javascript
+class ThresholdSignatureSystem {
+  constructor(threshold, totalParties, curveType = 'secp256k1') {
+    this.t = threshold; // Minimum signatures required
+    this.n = totalParties; // Total number of parties
+    this.curve = this.initializeCurve(curveType);
+    this.masterPublicKey = null;
+    this.privateKeyShares = new Map();
+    this.publicKeyShares = new Map();
+    this.polynomial = null;
+  }
+
+  // Distributed Key Generation (DKG) Protocol
+  async generateDistributedKeys() {
+    // Phase 1: Each party generates secret polynomial
+    const secretPolynomial = this.generateSecretPolynomial();
+    const commitments = this.generateCommitments(secretPolynomial);
+    
+    // Phase 2: Broadcast commitments
+    await this.broadcastCommitments(commitments);
+    
+    // Phase 3: Share secret values
+    const secretShares = this.generateSecretShares(secretPolynomial);
+    await this.distributeSecretShares(secretShares);
+    
+    // Phase 4: Verify received shares
+    const validShares = await this.verifyReceivedShares();
+    
+    // Phase 5: Combine to create master keys
+    this.masterPublicKey = this.combineMasterPublicKey(validShares);
+    
+    return {
+      masterPublicKey: this.masterPublicKey,
+      privateKeyShare: this.privateKeyShares.get(this.nodeId),
+      publicKeyShares: this.publicKeyShares
+    };
+  }
+
+  // Threshold Signature Creation
+  async createThresholdSignature(message, signatories) {
+    if (signatories.length < this.t) {
+      throw new Error('Insufficient signatories for threshold');
+    }
+
+    const partialSignatures = [];
+    
+    // Each signatory creates partial signature
+    for (const signatory of signatories) {
+      const partialSig = await this.createPartialSignature(message, signatory);
+      partialSignatures.push({
+        signatory: signatory,
+        signature: partialSig,
+        publicKeyShare: this.publicKeyShares.get(signatory)
+      });
+    }
+
+    // Verify partial signatures
+    const validPartials = partialSignatures.filter(ps => 
+      this.verifyPartialSignature(message, ps.signature, ps.publicKeyShare)
+    );
+
+    if (validPartials.length < this.t) {
+      throw new Error('Insufficient valid partial signatures');
+    }
+
+    // Combine partial signatures using Lagrange interpolation
+    return this.combinePartialSignatures(message, validPartials.slice(0, this.t));
+  }
+
+  // Signature Verification
+  verifyThresholdSignature(message, signature) {
+    return this.curve.verify(message, signature, this.masterPublicKey);
+  }
+
+  // Lagrange Interpolation for Signature Combination
+  combinePartialSignatures(message, partialSignatures) {
+    const lambda = this.computeLagrangeCoefficients(
+      partialSignatures.map(ps => ps.signatory)
+    );
+
+    let combinedSignature = this.curve.infinity();
+    
+    for (let i = 0; i < partialSignatures.length; i++) {
+      const weighted = this.curve.multiply(
+        partialSignatures[i].signature,
+        lambda[i]
+      );
+      combinedSignature = this.curve.add(combinedSignature, weighted);
+    }
+
+    return combinedSignature;
+  }
+}
+```
+
+### Zero-Knowledge Proof System
+```javascript
+class ZeroKnowledgeProofSystem {
+  constructor() {
+    this.curve = new EllipticCurve('secp256k1');
+    this.hashFunction = 'sha256';
+    this.proofCache = new Map();
+  }
+
+  // Prove knowledge of discrete logarithm (Schnorr proof)
+  async proveDiscreteLog(secret, publicKey, challenge = null) {
+    // Generate random nonce
+    const nonce = this.generateSecureRandom();
+    const commitment = this.curve.multiply(this.curve.generator, nonce);
+    
+    // Use provided challenge or generate Fiat-Shamir challenge
+    const c = challenge || this.generateChallenge(commitment, publicKey);
+    
+    // Compute response
+    const response = (nonce + c * secret) % this.curve.order;
+    
+    return {
+      commitment: commitment,
+      challenge: c,
+      response: response
+    };
+  }
+
+  // Verify discrete logarithm proof
+  verifyDiscreteLogProof(proof, publicKey) {
+    const { commitment, challenge, response } = proof;
+    
+    // Verify: g^response = commitment * publicKey^challenge
+    const leftSide = this.curve.multiply(this.curve.generator, response);
+    const rightSide = this.curve.add(
+      commitment,
+      this.curve.multiply(publicKey, challenge)
+    );
+    
+    return this.curve.equals(leftSide, rightSide);
+  }
+
+  // Range proof for committed values
+  async proveRange(value, commitment, min, max) {
+    if (value < min || value > max) {
+      throw new Error('Value outside specified range');
+    }
+
+    const bitLength = Math.ceil(Math.log2(max - min + 1));
+    const bits = this.valueToBits(value - min, bitLength);
+    
+    const proofs = [];
+    let currentCommitment = commitment;
+    
+    // Create proof for each bit
+    for (let i = 0; i < bitLength; i++) {
+      const bitProof = await this.proveBit(bits[i], currentCommitment);
+      proofs.push(bitProof);
+      
+      // Update commitment for next bit
+      currentCommitment = this.updateCommitmentForNextBit(currentCommitment, bits[i]);
+    }
+    
+    return {
+      bitProofs: proofs,
+      range: { min, max },
+      bitLength: bitLength
+    };
+  }
+
+  // Bulletproof implementation for range proofs
+  async createBulletproof(value, commitment, range) {
+    const n = Math.ceil(Math.log2(range));
+    const generators = this.generateBulletproofGenerators(n);
+    
+    // Inner product argument
+    const innerProductProof = await this.createInnerProductProof(
+      value, commitment, generators
+    );
+    
+    return {
+      type: 'bulletproof',
+      commitment: commitment,
+      proof: innerProductProof,
+      generators: generators,
+      range: range
+    };
+  }
+}
+```
+
+### Attack Detection System
+```javascript
+class ConsensusSecurityMonitor {
+  constructor() {
+    this.attackDetectors = new Map();
+    this.behaviorAnalyzer = new BehaviorAnalyzer();
+    this.reputationSystem = new ReputationSystem();
+    this.alertSystem = new SecurityAlertSystem();
+    this.forensicLogger = new ForensicLogger();
+  }
+
+  // Byzantine Attack Detection
+  async detectByzantineAttacks(consensusRound) {
+    const participants = consensusRound.participants;
+    const messages = consensusRound.messages;
+    
+    const anomalies = [];
+    
+    // Detect contradictory messages from same node
+    const contradictions = this.detectContradictoryMessages(messages);
+    if (contradictions.length > 0) {
+      anomalies.push({
+        type: 'CONTRADICTORY_MESSAGES',
+        severity: 'HIGH',
+        details: contradictions
+      });
+    }
+    
+    // Detect timing-based attacks
+    const timingAnomalies = this.detectTimingAnomalies(messages);
+    if (timingAnomalies.length > 0) {
+      anomalies.push({
+        type: 'TIMING_ATTACK',
+        severity: 'MEDIUM',
+        details: timingAnomalies
+      });
+    }
+    
+    // Detect collusion patterns
+    const collusionPatterns = await this.detectCollusion(participants, messages);
+    if (collusionPatterns.length > 0) {
+      anomalies.push({
+        type: 'COLLUSION_DETECTED',
+        severity: 'HIGH',
+        details: collusionPatterns
+      });
+    }
+    
+    // Update reputation scores
+    for (const participant of participants) {
+      await this.reputationSystem.updateReputation(
+        participant,
+        anomalies.filter(a => a.details.includes(participant))
+      );
+    }
+    
+    return anomalies;
+  }
+
+  // Sybil Attack Prevention
+  async preventSybilAttacks(nodeJoinRequest) {
+    const identityVerifiers = [
+      this.verifyProofOfWork(nodeJoinRequest),
+      this.verifyStakeProof(nodeJoinRequest),
+      this.verifyIdentityCredentials(nodeJoinRequest),
+      this.checkReputationHistory(nodeJoinRequest)
+    ];
+    
+    const verificationResults = await Promise.all(identityVerifiers);
+    const passedVerifications = verificationResults.filter(r => r.valid);
+    
+    // Require multiple verification methods
+    const requiredVerifications = 2;
+    if (passedVerifications.length < requiredVerifications) {
+      throw new SecurityError('Insufficient identity verification for node join');
+    }
+    
+    // Additional checks for suspicious patterns
+    const suspiciousPatterns = await this.detectSybilPatterns(nodeJoinRequest);
+    if (suspiciousPatterns.length > 0) {
+      await this.alertSystem.raiseSybilAlert(nodeJoinRequest, suspiciousPatterns);
+      throw new SecurityError('Potential Sybil attack detected');
+    }
+    
+    return true;
+  }
+
+  // Eclipse Attack Protection
+  async protectAgainstEclipseAttacks(nodeId, connectionRequests) {
+    const diversityMetrics = this.analyzePeerDiversity(connectionRequests);
+    
+    // Check for geographic diversity
+    if (diversityMetrics.geographicEntropy < 2.0) {
+      await this.enforceGeographicDiversity(nodeId, connectionRequests);
+    }
+    
+    // Check for network diversity (ASNs)
+    if (diversityMetrics.networkEntropy < 1.5) {
+      await this.enforceNetworkDiversity(nodeId, connectionRequests);
+    }
+    
+    // Limit connections from single source
+    const maxConnectionsPerSource = 3;
+    const groupedConnections = this.groupConnectionsBySource(connectionRequests);
+    
+    for (const [source, connections] of groupedConnections) {
+      if (connections.length > maxConnectionsPerSource) {
+        await this.alertSystem.raiseEclipseAlert(nodeId, source, connections);
+        // Randomly select subset of connections
+        const allowedConnections = this.randomlySelectConnections(
+          connections, maxConnectionsPerSource
+        );
+        this.blockExcessConnections(
+          connections.filter(c => !allowedConnections.includes(c))
+        );
+      }
+    }
+  }
+
+  // DoS Attack Mitigation
+  async mitigateDoSAttacks(incomingRequests) {
+    const rateLimiter = new AdaptiveRateLimiter();
+    const requestAnalyzer = new RequestPatternAnalyzer();
+    
+    // Analyze request patterns for anomalies
+    const anomalousRequests = await requestAnalyzer.detectAnomalies(incomingRequests);
+    
+    if (anomalousRequests.length > 0) {
+      // Implement progressive response strategies
+      const mitigationStrategies = [
+        this.applyRateLimiting(anomalousRequests),
+        this.implementPriorityQueuing(incomingRequests),
+        this.activateCircuitBreakers(anomalousRequests),
+        this.deployTemporaryBlacklisting(anomalousRequests)
+      ];
+      
+      await Promise.all(mitigationStrategies);
+    }
+    
+    return this.filterLegitimateRequests(incomingRequests, anomalousRequests);
+  }
+}
+```
+
+### Secure Key Management
+```javascript
+class SecureKeyManager {
+  constructor() {
+    this.keyStore = new EncryptedKeyStore();
+    this.rotationScheduler = new KeyRotationScheduler();
+    this.distributionProtocol = new SecureDistributionProtocol();
+    this.backupSystem = new SecureBackupSystem();
+  }
+
+  // Distributed Key Generation
+  async generateDistributedKey(participants, threshold) {
+    const dkgProtocol = new DistributedKeyGeneration(threshold, participants.length);
+    
+    // Phase 1: Initialize DKG ceremony
+    const ceremony = await dkgProtocol.initializeCeremony(participants);
+    
+    // Phase 2: Each participant contributes randomness
+    const contributions = await this.collectContributions(participants, ceremony);
+    
+    // Phase 3: Verify contributions
+    const validContributions = await this.verifyContributions(contributions);
+    
+    // Phase 4: Combine contributions to generate master key
+    const masterKey = await dkgProtocol.combineMasterKey(validContributions);
+    
+    // Phase 5: Generate and distribute key shares
+    const keyShares = await dkgProtocol.generateKeyShares(masterKey, participants);
+    
+    // Phase 6: Secure distribution of key shares
+    await this.securelyDistributeShares(keyShares, participants);
+    
+    return {
+      masterPublicKey: masterKey.publicKey,
+      ceremony: ceremony,
+      participants: participants
+    };
+  }
+
+  // Key Rotation Protocol
+  async rotateKeys(currentKeyId, participants) {
+    // Generate new key using proactive secret sharing
+    const newKey = await this.generateDistributedKey(participants, Math.floor(participants.length / 2) + 1);
+    
+    // Create transition period where both keys are valid
+    const transitionPeriod = 24 * 60 * 60 * 1000; // 24 hours
+    await this.scheduleKeyTransition(currentKeyId, newKey.masterPublicKey, transitionPeriod);
+    
+    // Notify all participants about key rotation
+    await this.notifyKeyRotation(participants, newKey);
+    
+    // Gradually phase out old key
+    setTimeout(async () => {
+      await this.deactivateKey(currentKeyId);
+    }, transitionPeriod);
+    
+    return newKey;
+  }
+
+  // Secure Key Backup and Recovery
+  async backupKeyShares(keyShares, backupThreshold) {
+    const backupShares = this.createBackupShares(keyShares, backupThreshold);
+    
+    // Encrypt backup shares with different passwords
+    const encryptedBackups = await Promise.all(
+      backupShares.map(async (share, index) => ({
+        id: `backup_${index}`,
+        encryptedShare: await this.encryptBackupShare(share, `password_${index}`),
+        checksum: this.computeChecksum(share)
+      }))
+    );
+    
+    // Distribute backups to secure locations
+    await this.distributeBackups(encryptedBackups);
+    
+    return encryptedBackups.map(backup => ({
+      id: backup.id,
+      checksum: backup.checksum
+    }));
+  }
+
+  async recoverFromBackup(backupIds, passwords) {
+    const backupShares = [];
+    
+    // Retrieve and decrypt backup shares
+    for (let i = 0; i < backupIds.length; i++) {
+      const encryptedBackup = await this.retrieveBackup(backupIds[i]);
+      const decryptedShare = await this.decryptBackupShare(
+        encryptedBackup.encryptedShare,
+        passwords[i]
+      );
+      
+      // Verify integrity
+      const checksum = this.computeChecksum(decryptedShare);
+      if (checksum !== encryptedBackup.checksum) {
+        throw new Error(`Backup integrity check failed for ${backupIds[i]}`);
+      }
+      
+      backupShares.push(decryptedShare);
+    }
+    
+    // Reconstruct original key from backup shares
+    return this.reconstructKeyFromBackup(backupShares);
+  }
+}
+```
+
+## MCP Integration Hooks
+
+### Security Monitoring Integration
+```javascript
+// Store security metrics in memory
+await this.mcpTools.memory_usage({
+  action: 'store',
+  key: `security_metrics_${Date.now()}`,
+  value: JSON.stringify({
+    attacksDetected: this.attacksDetected,
+    reputationScores: Array.from(this.reputationSystem.scores.entries()),
+    keyRotationEvents: this.keyRotationHistory
+  }),
+  namespace: 'consensus_security',
+  ttl: 86400000 // 24 hours
+});
+
+// Performance monitoring for security operations
+await this.mcpTools.metrics_collect({
+  components: [
+    'signature_verification_time',
+    'zkp_generation_time',
+    'attack_detection_latency',
+    'key_rotation_overhead'
+  ]
+});
+```
+
+### Neural Pattern Learning for Security
+```javascript
+// Learn attack patterns
+await this.mcpTools.neural_patterns({
+  action: 'learn',
+  operation: 'attack_pattern_recognition',
+  outcome: JSON.stringify({
+    attackType: detectedAttack.type,
+    patterns: detectedAttack.patterns,
+    mitigation: appliedMitigation
+  })
+});
+
+// Predict potential security threats
+const threatPrediction = await this.mcpTools.neural_predict({
+  modelId: 'security_threat_model',
+  input: JSON.stringify(currentSecurityMetrics)
+});
+```
+
+## Integration with Consensus Protocols
+
+### Byzantine Consensus Security
+```javascript
+class ByzantineConsensusSecurityWrapper {
+  constructor(byzantineCoordinator, securityManager) {
+    this.consensus = byzantineCoordinator;
+    this.security = securityManager;
+  }
+
+  async secureConsensusRound(proposal) {
+    // Pre-consensus security checks
+    await this.security.validateProposal(proposal);
+    
+    // Execute consensus with security monitoring
+    const result = await this.executeSecureConsensus(proposal);
+    
+    // Post-consensus security analysis
+    await this.security.analyzeConsensusRound(result);
+    
+    return result;
+  }
+
+  async executeSecureConsensus(proposal) {
+    // Sign proposal with threshold signature
+    const signedProposal = await this.security.thresholdSignature.sign(proposal);
+    
+    // Monitor consensus execution for attacks
+    const monitor = this.security.startConsensusMonitoring();
+    
+    try {
+      // Execute Byzantine consensus
+      const result = await this.consensus.initiateConsensus(signedProposal);
+      
+      // Verify result integrity
+      await this.security.verifyConsensusResult(result);
+      
+      return result;
+    } finally {
+      monitor.stop();
+    }
+  }
+}
+```
+
+## Security Testing and Validation
+
+### Penetration Testing Framework
+```javascript
+class ConsensusPenetrationTester {
+  constructor(securityManager) {
+    this.security = securityManager;
+    this.testScenarios = new Map();
+    this.vulnerabilityDatabase = new VulnerabilityDatabase();
+  }
+
+  async runSecurityTests() {
+    const testResults = [];
+    
+    // Test 1: Byzantine attack simulation
+    testResults.push(await this.testByzantineAttack());
+    
+    // Test 2: Sybil attack simulation
+    testResults.push(await this.testSybilAttack());
+    
+    // Test 3: Eclipse attack simulation
+    testResults.push(await this.testEclipseAttack());
+    
+    // Test 4: DoS attack simulation
+    testResults.push(await this.testDoSAttack());
+    
+    // Test 5: Cryptographic security tests
+    testResults.push(await this.testCryptographicSecurity());
+    
+    return this.generateSecurityReport(testResults);
+  }
+
+  async testByzantineAttack() {
+    // Simulate malicious nodes sending contradictory messages
+    const maliciousNodes = this.createMaliciousNodes(3);
+    const attack = new ByzantineAttackSimulator(maliciousNodes);
+    
+    const startTime = Date.now();
+    const detectionTime = await this.security.detectByzantineAttacks(attack.execute());
+    const endTime = Date.now();
+    
+    return {
+      test: 'Byzantine Attack',
+      detected: detectionTime !== null,
+      detectionLatency: detectionTime ? endTime - startTime : null,
+      mitigation: await this.security.mitigateByzantineAttack(attack)
+    };
+  }
+}
+```
+
+This security manager provides comprehensive protection for distributed consensus protocols with enterprise-grade cryptographic security, advanced threat detection, and robust key management capabilities.