# Entity Memory Extraction

> Entity and fact extraction for user profiling and personalization

- Skill: `a5c-ai/entity-memory-extraction` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/entity-memory-extraction`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/entity-memory-extraction/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/entity-memory-extraction

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# 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