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Stored via Neotoma MCP with full provenance and entity resolution
See .cursor/rules/conversation_tracking.mdc for complete specification
Query Conversations
// Get today's conversationsmcp_neotoma_retrieve_entities({entity_type: "conversation",filters: {start_timestamp: "2026-01-29"}})// Get conversation with messagesconv=mcp_neotoma_retrieve_entity_snapshot({entity_id: conversation_id})messages=mcp_neotoma_retrieve_graph_neighborhood({entity_id: conversation_id,relationship_types: ["PART_OF"]})// Get timeline viewmcp_neotoma_list_timeline_events({entity_type: "agent_message",filters: {conversation_id: conversation_id}})
Graph Exploration
Explore conversation relationships to tasks, contacts, projects
Use retrieve_graph_neighborhood to discover related entities
Timeline queries for chronological conversation history
Data Access
MCP Server
Programmatic read/write access via Model Context Protocol
Semantic search with embeddings
Query with enhanced filter operators
See /mcp/README.md for complete documentation
Query Scripts
Command-line tools for data exploration and analysis
Domain-specific queries
Summary and aggregation views
Schema Discovery
Automatic schema introspection for all 60+ data types
Type information and validation rules
Field descriptions and constraints
Audit Trail
Complete change history with rollback capabilities
Provenance tracking from source to derived data
Timestamped snapshots for recovery
Additional Workflows
Audio Transcription: Automated transcription of voice memos with file watching
See /strategy/operations/audio-transcription-process.md for workflow
Contact Management: Gmail and Minted.com integration for contact extraction