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

Files and scripts

Cold-memory area:

• memory/cold/index.md
• memory/cold/tags.json
• memory/cold/retrieval-log.md
• memory/cold/_template.md
• memory/cold/schedule.json
• memory/heartbeat-state.json

CLI entry scripts:

• scripts/create.py
• scripts/validate.py
• scripts/search.py
• scripts/rebuild.py
• scripts/decay.py
• scripts/cool.py
• scripts/review.py
• scripts/scheduler.py
• scripts/install_hook.py

Core modules:

• core/signal_detect.py
• core/signal_pipeline.py
• core/openclaw_signal_hook.py
• core/openclaw_runtime_probe.py

Sanity check

python3 scripts/smoke_test.py