entity-memory-extraction

Solid

Entity and fact extraction for user profiling and personalization

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill Content

# 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Integrates with

LangChain · AI

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