memory-triage

Extract and classify durable conversation facts into long-term memory categories.

62.9k|7.3k|Updated Jun 20, 2023
One-click install
npx skills add https://github.com/mem0ai/mem0 --skill memory-triage
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-triage
Source: https://github.com/mem0ai/mem0/tree/main/openclaw/skills/memory-triage
Command: npx skills add https://github.com/mem0ai/mem0 --skill memory-triage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured approach to extract relevant facts from conversations and store them as durable memories for future personalization and retrieval.

Core Features & Use Cases

  • Memory extraction: Identify and classify facts into categories like identity, preferences, rules, decisions, projects, and relationships.
  • Memory storage & retrieval: Use memory_add to persist memories and memory_search/memory_get to retrieve them across sessions.
  • Lifecycle management: Update, list, and delete memories as needed to keep the memory store accurate.

Quick Start

After each user interaction, extract actionable facts and store them in memory using memory_add with the appropriate category.

Frequently Asked Questions about memory-triage

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract durable facts from conversations for long-term memory recall?▼

You can triage chat interactions to identify durable facts and store them as long-term memory. This process classifies information into categories like identity, preferences, and projects, enabling personalized recall across sessions.

What is the best way to organize long-term memory across different conversation sessions?▼

The best way to organize long-term memory is to classify facts by identity, preferences, or projects, apply 'As of' dates for temporal anchoring, and use third-person phrasing to ensure accurate retrieval via memory_search.

How do I update or delete stored memories to keep my knowledge base accurate?▼

You can manage your memory store's lifecycle by using tools to update, list, and delete memories. This ensures your long-term recall data remains accurate and relevant over time.

Can I store sensitive data or credentials when extracting facts from chat history?▼

No, the memory triage process includes safe handling mechanisms that actively reject credentials and sensitive data, ensuring only safe, durable facts are indexed for long-term recall and personalized responses.

Does memory search support temporal anchoring for personalized responses?▼

Yes, memory search supports temporal anchoring by attaching 'As of' dates to indexed facts. This allows the system to provide time-aware, personalized responses based on when specific decisions or preferences were recorded.

What categories of information can I classify long-term memories into?▼

You can classify extracted long-term memories into six core categories: identity, preferences, rules, decisions, projects, and relationships, allowing structured storage and precise future retrieval.