entity-memory-extraction

# Entity Memory Extraction Skill ## Capabilities - Extract entities from conversations - Build and update user profiles - Track preferences and facts - Implement entity disambiguation - Design entity relationship graphs - Configure extraction rules and schemas ## Target Processes - long-term-memory-management - conversational-persona-design ## Implementation Details ### Extraction Types 1. **Named Entities**: People, places, organizations 2. **User Preferences**: Likes, dislikes, interests 3. **Facts**: Stated information about user 4. **Temporal**: Dates, events, schedules 5. **Relationships**: Connections between entities ### Configuration Options - Extraction model selection - Entity schema definition - Confidence thresholds - Update policies - Storage backend ### Best Practices - Define clear entity schemas - Handle entity conflicts - Implement confidence scoring - Regular profile validation - Privacy considerations ### Dependencies - langchain - spacy (optional) - Custom extraction models