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.
Created: 2026-02-12 | By Kim Assistant