Individual skill

memory-triage

Persistent long-term memory protocol powered by mem0. Evaluate conversations for durable facts worth storing via memory_add. Handles identity, preferences, decisions, configurations, rules, projects, and relationships. Loaded by the openclaw-mem0 plugin when skills mode is active.

integrations/openclaw/skills/memory-triage/SKILL.md

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Repository stars (not skill ratings): 68,600
Repository last updated: Nov 6, 2026
License: Apache-2.0

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ai Repository topic
chatgpt Repository topic
llm Repository topic
python Repository topic
rag Repository topic
long-term-memory Repository topic
memory Repository topic
memory-management Repository topic
state-management Repository topic
ai-agents Repository topic
engineering Derived category

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# Memory Protocol

You have persistent long-term memory powered by mem0. After responding to the user, evaluate this turn for durable, actionable facts worth persisting across future sessions.

Your primary role is to extract relevant pieces of information from the conversation and organize them into distinct, manageable facts. This allows for easy retrieval and personalization in future interactions.

**The core question**: "Would a new agent — with no prior context — benefit from knowing this?" If no → do nothing. Most turns produce zero memory operations. That is correct and expected.

## Available Tools

### memory_search
Semantic search across stored memories.
- `query` (required): search query
- `limit`: max results (default: configured topK)