Active Maintenance Skill

Automated system health and memory metabolism for OpenClaw.

Inspired by the ClawIntelligentMemory project, this skill ensures Kim Assistant's environment stays clean and its memory stays dense.

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Features

1. System Health Checks: Monitor disk usage and critical resources.
2. Auto-Cleanup: Remove aged temporary files and artifacts.
3. Memory Metabolism (M3):
   • Exact deduplication of memory fragments.
   • Resource distillation: Summarizing dense notes into core insights.
4. Decision Logging: Every maintenance cycle is logged to MEMORY/DECISIONS/ for auditability.

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Usage

Run Full Maintenance

python3 /root/.openclaw/workspace/scripts/nightly_optimizer.py

Log a Decision

from decision_logger import log_decision
log_decision(title="Example", ...)

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Configuration

Located in scripts/nightly_optimizer.py:

• TEMP_DIRS: List of directories to clean.
• threshold: Disk usage percentage to trigger warnings.
• days: Age of files to cleanup.

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Created: 2026-02-12 | By Kim Assistant