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

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.

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.

Created: 2026-02-12 | By Kim Assistant