Trigger for cold-memory recall and archive work under memory/cold/. Use for older low-frequency context, historical continuity, resurfacing, cooling, rebuild, and repetition-driven reinforcement. Do not use for fresh daily notes, stable high-frequency facts, tooling/setup notes, or unvalidated new learnings.
Trigger for cold-memory recall and archive work under memory/cold/. Use for older low-frequency context, historical continuity, resurfacing, cooling, rebuild, and repetition-driven reinforcement. Do not use for fresh daily notes, stable high-frequency facts, tooling/setup notes, or unvalidated new learnings.
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概述
Hui Yi
Hui Yi manages the cold reinforcement layer under memory/cold/.
Core rule:
Repeatedly reactivated information deserves reinforcement first. Ebbinghaus sets the pace, not the sole trigger.
Use Hui Yi when
older low-frequency context would materially improve the current answer
the user asks what was done before, asks to recall/archive something, or wants historical continuity
a reusable lesson, decision, troubleshooting result, or stable background note should be preserved in memory/cold/
durable content from daily notes should be cooled into cold memory
cold-memory notes, metadata, or retrieval quality need maintenance
Do not use Hui Yi when
the content is today's transient note → memory/YYYY-MM-DD.md
the content is a stable high-frequency fact → MEMORY.md
the content is tooling, machine path, or environment setup → TOOLS.md
the content is a fresh mistake or still-unvalidated lesson → .learnings/
the content contains secrets, tokens, or passwords
Boundary
OpenClaw primary memory handles:
current chat continuity
recent daily notes
stable high-frequency facts
tooling and environment notes
fresh learnings
Hui Yi handles:
low-frequency, high-value knowledge under memory/cold/
historical context that keeps resurfacing across real conversations
durable experience, decisions, and troubleshooting notes that should not pollute primary memory