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.

Features

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

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", ...)

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.