/entity-memory-extraction

name: entity-memory-extraction
description: Entity and fact extraction for user profiling and personalization
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:natural-language-processing, skill-area:context-management]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]

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