Agent Memory Ops

---

name: agent-memory-ops description: Audit and maintain OpenClaw-style long-term memory. Use for MEMORY.md cleanup, daily-note digestion, duplicate detection, stale-memory review, and promoting durable facts from memory/YYYY-MM-DD.md into curated memory.

---

Agent Memory Ops

Use this skill when you need to keep an agent's memory layer healthy instead of letting MEMORY.md rot.

What it does

scans MEMORY.md + memory/*.md

detects duplicate / near-duplicate bullets

extracts memory candidates from recent daily notes

surfaces active follow-ups / TODOs

filters obvious secrets from suggested memory output

produces a concise maintenance report you can act on

Good use cases

"帮我整理 MEMORY.md"

"检查记忆层有没有重复和过期信息"

"把最近几天的重要内容沉淀到长期记忆"

"做一次 agent memory audit"

"维护长期记忆 / daily memory / notebook memory"

Commands

Run from the workspace root that contains MEMORY.md and memory/.

python3 {baseDir}/scripts/memory_ops.py report --root .
python3 {baseDir}/scripts/memory_ops.py dedupe --root .
python3 {baseDir}/scripts/memory_ops.py digest --root . --days 7
python3 {baseDir}/scripts/memory_ops.py digest --root . --files 5 --format json

Recommended workflow

1. Run report to see gaps, duplicates, and follow-ups. 2. Run digest on the last 5-7 daily notes. 3. Promote only durable facts into MEMORY.md. 4. Keep volatile chatter in daily notes. 5. Never copy secrets into curated memory unless the user explicitly asks.

Output policy

Prefer --format markdown for human review.

Prefer --format json when another tool or script will consume the result.

The script intentionally redacts / skips likely secrets from digest suggestions.

References

references/playbook.md