Sync Protocol

Polyglot's sync protocol is specifically designed for AI research workflows, prioritizing memory context preservation, research integrity, and privacy-controlled collaboration.

Protocol Design Philosophy

Research-First Synchronization

The sync protocol treats research data as fundamentally different from generic application data:

• Memory Context Priority: Research memory and conversation context sync with highest priority

• Research Integrity: All sync operations preserve research continuity and data relationships

• Temporal Consistency: Maintains chronological order of research insights and hypothesis evolution

• Conflict Resolution: Intelligent merging that preserves research value over simple timestamp priority

Privacy-Preserving Research Collaboration

The protocol enables collaboration while maintaining individual research privacy:

• Selective Sharing: Granular control over what research components synchronize

• Identity Protection: Contribution tracking with researcher anonymization options

• Data Sovereignty: Researchers maintain control over their individual research data

• Collaborative Insights: Aggregate research findings while preserving individual privacy

Core Protocol Operations

Memory Context Synchronization

interface MemoryContextSync {
  operation: 'sync-memory-context';
  payload: {
    conversationId: string;
    projectId: string;
    memorySnapshot: {
      memoryMarkers: EncryptedMemoryMarkers;
      researchInsights: EncryptedInsights;
      knowledgeReferences: KnowledgeReference[];
      modelHistory: ModelInteractionLog;
      contextIntegrity: IntegrityHash;
    };
    syncMetadata: {
      lastModified: timestamp;
      deviceOrigin: string;
      researchPhase: string;
      criticalityLevel: 'low' | 'medium' | 'high' | 'critical';
    };
  };
  encryption: {
    method: 'AES-256-GCM';
    keyId: string;
    integrityVerification: 'HMAC-SHA256';
  };
}

Sync Flow:

1. Pre-Sync Validation: Verify memory context integrity and research continuity

2. Encryption: Encrypt memory context with user-controlled keys

3. Transmission: Send encrypted context with research metadata

4. Server Processing: Store encrypted data without access to content

5. Conflict Detection: Identify potential conflicts with research context awareness

6. Client Resolution: Resolve conflicts client-side with research integrity priority

7. Verification: Confirm successful sync with memory context validation

Research Project Synchronization

interface ResearchProjectSync {
  operation: 'sync-research-project';
  payload: {
    projectId: string;
    projectMetadata: {
      title: string;
      researchDomain: string;
      methodology: string;
      collaborationLevel: 'individual' | 'team' | 'organization';
    };
    syncScope: {
      conversations: ConversationSyncScope;
      knowledgeBase: KnowledgeBaseSyncScope;
      researchAnalytics: AnalyticsSyncScope;
      collaborativeElements: CollaborationSyncScope;
    };
    privacyControls: {
      dataClassification: DataClassification;
      sharingPermissions: SharingPermission[];
      retentionPolicy: RetentionPolicy;
    };
  };
  researchIntegrity: {
    chronologicalConsistency: boolean;
    crossReferenceIntegrity: boolean;
    knowledgeGraphConsistency: boolean;
  };
}

interface ConversationSyncScope {
  includeFullHistory: boolean;
  memoryContextLevel: 'markers-only' | 'summary' | 'full';
  modelPerformanceData: boolean;
  privateAnnotations: 'exclude' | 'encrypt' | 'anonymize';
}

Knowledge Integration Synchronization

interface KnowledgeSync {
  operation: 'sync-knowledge-integration';
  payload: {
    projectId: string;
    ragDocuments: RAGDocumentSync[];
    mcpIntegrations: MCPIntegrationSync[];
    knowledgeGraph: KnowledgeGraphSync;
  };
  processingRequirements: {
    embeddingSync: 'incremental' | 'full' | 'skip';
    semanticIndexUpdate: boolean;
    crossReferenceRebuild: boolean;
  };
}

interface RAGDocumentSync {
  documentId: string;
  syncMode: 'content-and-embeddings' | 'embeddings-only' | 'metadata-only';
  privacyLevel: 'public' | 'project-team' | 'encrypted';
  researchContext: {
    citationFrequency: number;
    insightGeneration: InsightGenerationMetrics;
    conversationReferences: string[];
  };
}

Conflict Resolution for Research Data

Research-Aware Conflict Detection

interface ResearchConflictDetection {
  conflictType: ResearchConflictType;
  affectedComponents: {
    memoryMarkers: ConflictingMemoryMarker[];
    researchInsights: ConflictingInsight[];
    knowledgeReferences: ConflictingReference[];
    hypotheses: ConflictingHypothesis[];
  };
  researchImpact: {
    continuityBroken: boolean;
    insightConsistency: 'maintained' | 'conflicted' | 'enhanced';
    methodologyAffected: boolean;
    dataIntegrityRisk: 'low' | 'medium' | 'high';
  };
}

type ResearchConflictType =
  | 'memory-context-divergence'
  | 'insight-contradiction'
  | 'temporal-inconsistency'
  | 'knowledge-reference-mismatch'
  | 'hypothesis-evolution-conflict'
  | 'collaborative-data-collision';

Intelligent Research Conflict Resolution

interface ResearchConflictResolution {
  resolutionStrategy: ResearchResolutionStrategy;
  resolutionRules: {
    memoryMarkers: 'merge-preserve-all' | 'confidence-weighted' | 'researcher-priority';
    insights: 'semantic-merge' | 'temporal-priority' | 'evidence-weighted';
    hypotheses: 'evolution-aware' | 'evidence-based' | 'researcher-choice';
    knowledgeBase: 'union-merge' | 'source-priority' | 'relevance-weighted';
  };
  preservationPriorities: {
    researchContinuity: 'critical';
    dataIntegrity: 'critical';
    collaborationConsistency: 'high';
    individualPrivacy: 'high';
  };
}

// Example conflict resolution for memory context divergence
const memoryConflictResolution = {
  conflictId: 'memory-divergence-research-session-1',
  resolutionMethod: 'semantic-merge-with-validation',
  process: {
    step1: 'extract-insights-from-both-contexts',
    step2: 'identify-semantic-overlaps-and-contradictions',
    step3: 'preserve-non-conflicting-insights',
    step4: 'flag-contradictions-for-researcher-review',
    step5: 'maintain-temporal-sequence-integrity',
    step6: 'validate-research-continuity'
  },
  validation: {
    researchIntegrityCheck: true,
    memoryConsistencyValidation: true,
    knowledgeGraphConsistency: true,
    temporalSequenceValidation: true
  }
};

Multi-Device Research Continuity

Device Synchronization Protocol

interface DeviceSync {
  operation: 'device-research-sync';
  deviceRegistration: {
    deviceId: string;
    deviceType: 'primary-research-station' | 'mobile-research' | 'collaborative-device';
    capabilities: DeviceCapabilities;
    securityProfile: SecurityProfile;
  };
  syncProfile: {
    researchProjects: ProjectSyncProfile[];
    memoryContextPreferences: MemoryContextPreferences;
    knowledgeBaseSync: KnowledgeBaseSyncPreferences;
    privacySettings: DevicePrivacySettings;
  };
}

interface ProjectSyncProfile {
  projectId: string;
  syncLevel: 'full' | 'active-conversations-only' | 'metadata-only';
  syncFrequency: 'real-time' | 'periodic' | 'manual';
  offlineCapabilities: {
    fullOfflineAccess: boolean;
    cachedKnowledgeBase: boolean;
    memoryContextCaching: 'complete' | 'recent-only' | 'essential';
  };
}

Offline-First Sync Queue

interface OfflineResearchQueue {
  queueId: string;
  researchOperations: ResearchOperation[];
  prioritization: {
    memoryContextUpdates: 1; // highest priority
    researchInsights: 2;
    conversationUpdates: 3;
    knowledgeBaseChanges: 4;
    analyticsData: 5; // lowest priority
  };
  integrityMaintenance: {
    temporalOrdering: boolean;
    causalityPreservation: boolean;
    researchSequenceIntegrity: boolean;
  };
}

interface ResearchOperation {
  operationId: string;
  operationType: 'memory-update' | 'insight-generation' | 'knowledge-integration';
  researchContext: {
    projectId: string;
    conversationId: string;
    researchPhase: string;
    criticalityLevel: number;
  };
  dependencies: string[]; // other operations this depends on
  integrityRequirements: {
    temporalConsistency: boolean;
    contextualIntegrity: boolean;
    researchContinuity: boolean;
  };
}

Collaborative Research Protocol

Multi-Researcher Coordination

interface CollaborativeResearchSync {
  operation: 'collaborative-research-sync';
  collaborationContext: {
    projectId: string;
    researchers: ResearcherProfile[];
    collaborationModel: 'independent-with-synthesis' | 'coordinated-research' | 'peer-review';
  };
  syncConfiguration: {
    individualPrivacy: {
      preservePrivateConversations: boolean;
      anonymizeContributions: boolean;
      aggregateInsightsOnly: boolean;
    };
    sharedComponents: {
      methodology: boolean;
      knowledgeBase: 'shared-documents-only' | 'all-documents' | 'none';
      comparativeAnalyses: boolean;
      researchFindings: 'anonymized' | 'attributed' | 'aggregated';
    };
    conflictResolution: {
      methodology: 'consensus' | 'lead-researcher' | 'evidence-based';
      dataInconsistencies: 'researcher-review' | 'automated-merge' | 'flag-for-discussion';
    };
  };
}

interface ResearcherProfile {
  researcherId: string;
  role: 'lead-researcher' | 'collaborator' | 'reviewer' | 'observer';
  permissions: {
    viewIndividualConversations: boolean;
    viewAggregatedInsights: boolean;
    contributeFindings: boolean;
    modifyMethodology: boolean;
    accessRawData: boolean;
  };
  privacyPreferences: {
    attributeContributions: boolean;
    shareConversationMetrics: boolean;
    allowCrossResearcherAnalysis: boolean;
  };
}

Research Data Aggregation

interface ResearchDataAggregation {
  aggregationType: 'cross-researcher-insights' | 'comparative-model-performance' | 'methodology-effectiveness';
  aggregationRules: {
    preserveIndividualPrivacy: boolean;
    enableDeduplication: boolean;
    weightContributions: 'equal' | 'expertise-weighted' | 'evidence-weighted';
    conflictResolution: 'preserve-all' | 'consensus-only' | 'evidence-prioritized';
  };
  outputConfiguration: {
    anonymizeIndividualContributions: boolean;
    provideCitationTrails: boolean;
    enableDrillDown: boolean; // allow viewing source data (with permissions)
    generateComparativeMetrics: boolean;
  };
}

// Example: Cross-researcher insight aggregation
const insightAggregation = {
  projectId: 'multi-researcher-ai-study',
  aggregationType: 'cross-researcher-insights',
  sourceData: {
    researcher1Insights: encryptedInsightsData,
    researcher2Insights: encryptedInsightsData,
    researcher3Insights: encryptedInsightsData
  },
  aggregationProcess: {
    step1: 'decrypt-insights-with-individual-keys',
    step2: 'semantic-clustering-of-similar-insights',
    step3: 'identify-consensus-and-divergent-findings',
    step4: 'weight-insights-by-evidence-strength',
    step5: 'generate-aggregate-research-findings',
    step6: 'anonymize-contributions-per-preferences'
  },
  privacyPreservation: {
    individualInsightAttribution: 'optional-per-researcher',
    aggregateDataOnly: 'available-to-all',
    sourceTraceability: 'available-with-permissions'
  }
};

Protocol Security and Privacy

End-to-End Encryption for Research Data

interface ResearchDataEncryption {
  encryptionLayers: {
    individualResearchData: {
      method: 'AES-256-GCM';
      keyManagement: 'user-controlled';
      keyRotation: 'automatic-monthly';
    };
    collaborativeSharedData: {
      method: 'ChaCha20-Poly1305';
      keyManagement: 'distributed-among-collaborators';
      keyRecovery: 'threshold-based';
    };
    aggregatedInsights: {
      method: 'AES-256-GCM';
      keyManagement: 'project-based';
      accessControl: 'role-based-permissions';
    };
  };
  zeroKnowledgeArchitecture: {
    serverCannotAccess: [
      'individual-conversation-content',
      'personal-research-notes',
      'private-memory-markers',
      'individual-insight-attribution'
    ];
    serverCanAccess: [
      'encrypted-data-blobs',
      'sync-timing-metadata',
      'collaboration-structure-metadata',
      'anonymized-usage-analytics'
    ];
  };
}

Privacy-Preserving Analytics

interface PrivacyPreservingAnalytics {
  researchMetrics: {
    individualMetrics: {
      encryptionRequired: true;
      aggregationOnly: boolean;
      anonymizationLevel: 'full' | 'pseudonymized' | 'researcher-controlled';
    };
    collaborativeMetrics: {
      collectiveInsights: 'anonymized-aggregate-only';
      comparativePerformance: 'model-focused-not-researcher-focused';
      methodologyEffectiveness: 'aggregate-statistical-only';
    };
    researchProgressMetrics: {
      projectLevelProgress: 'aggregate-milestones-only';
      insightEvolutionPatterns: 'anonymized-temporal-patterns';
      knowledgeGrowthMetrics: 'collective-knowledge-base-growth';
    };
  };
  privacyGuarantees: {
    individualResearcherIdentification: 'impossible-from-metrics';
    conversationContentInference: 'cryptographically-prevented';
    researchApproachIdentification: 'anonymized-beyond-recognition';
    collaborationPatternPrivacy: 'aggregate-patterns-only';
  };
}

Protocol Performance and Reliability

Research-Optimized Performance

interface ResearchPerformanceOptimization {
  prioritization: {
    memoryContextSync: {
      priority: 'critical',
      latencyTarget: 'sub-100ms',
      reliabilityTarget: '99.99%',
      bandwidthOptimization: 'delta-sync-with-integrity-preservation'
    };
    conversationSync: {
      priority: 'high',
      latencyTarget: 'sub-500ms',
      reliabilityTarget: '99.9%',
      bandwidthOptimization: 'incremental-message-sync'
    };
    knowledgeBaseSync: {
      priority: 'medium',
      latencyTarget: 'background-acceptable',
      reliabilityTarget: '99.5%',
      bandwidthOptimization: 'compressed-differential-sync'
    };
    analyticsSync: {
      priority: 'low',
      latencyTarget: 'eventual-consistency',
      reliabilityTarget: '99%',
      bandwidthOptimization: 'batch-compressed-periodic'
    };
  };
  researchContinuityRequirements: {
    zeroDataLoss: 'critical-for-research-integrity',
    contextPreservation: 'lossless-required',
    temporalConsistency: 'chronological-order-preserved',
    crossReferenceIntegrity: 'relationship-graph-maintained'
  };
}

Reliability and Fault Tolerance

interface ResearchReliabilityProtocol {
  faultTolerance: {
    networkInterruptions: {
      offlineCapability: 'full-research-workflow-offline',
      queueManagement: 'research-priority-based-queuing',
      conflictPrevention: 'optimistic-locking-with-research-awareness',
      dataIntegrity: 'cryptographic-integrity-verification'
    };
    serverFailures: {
      clientContinuity: 'uninterrupted-local-research',
      dataRecovery: 'encrypted-distributed-backup',
      serviceRestoration: 'transparent-reconnection',
      researchIntegrityValidation: 'automatic-post-recovery-validation'
    };
    dataCorruption: {
      detection: 'continuous-integrity-monitoring',
      recovery: 'multi-layered-backup-restoration',
      validation: 'research-context-aware-validation',
      notification: 'immediate-researcher-alert'
    };
  };
  researchIntegrityProtection: {
    memoryContextValidation: 'continuous-checksum-verification',
    temporalSequenceValidation: 'chronological-consistency-checking',
    crossReferenceValidation: 'relationship-graph-integrity-checking',
    knowledgeBaseValidation: 'semantic-consistency-verification'
  };
}

Protocol Testing and Validation

interface ProtocolValidation {
  researchWorkflowTesting: {
    scenarioTesting: [
      'multi-device-model-switching-with-context-preservation',
      'collaborative-research-with-privacy-preservation',
      'long-term-project-continuity-across-months',
      'large-knowledge-base-integration-performance',
      'cross-model-comparative-study-workflows'
    ];
    stressTesting: {
      simultaneousResearchers: 'up-to-50-concurrent',
      conversationVolume: 'thousands-per-project',
      knowledgeBaseSize: 'gigabytes-per-project',
      syncFrequency: 'real-time-continuous'
    };
    integrityTesting: {
      dataConsistency: 'byzantine-fault-tolerance-testing',
      privacyPreservation: 'zero-knowledge-proof-validation',
      researchContinuity: 'long-term-context-preservation-validation',
      collaborativeConsistency: 'multi-party-conflict-resolution-testing'
    };
  };
  performanceBenchmarks: {
    memoryContextSync: 'sub-100ms-99th-percentile',
    researchProjectLoad: 'sub-1s-complete-project-restoration',
    knowledgeSearch: 'sub-200ms-semantic-search-across-GB-datasets',
    collaborativeSync: 'sub-5s-multi-researcher-conflict-resolution'
  };
}

This sync protocol ensures that Polyglot can maintain research integrity and privacy while enabling seamless collaboration and multi-device access for serious AI research workflows.