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:
Pre-Sync Validation: Verify memory context integrity and research continuity
Encryption: Encrypt memory context with user-controlled keys
Transmission: Send encrypted context with research metadata
Server Processing: Store encrypted data without access to content
Conflict Detection: Identify potential conflicts with research context awareness
Client Resolution: Resolve conflicts client-side with research integrity priority
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.
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