Memory Maintenance

Intelligent memory management for OpenClaw agents. Reviews daily notes, suggests MEMORY.md updates, maintains directory health, and auto-cleans old files. Recommended for agents with growing memory footprints.

Memory Maintenance Skill

Intelligent memory management for OpenClaw agents. Reviews daily notes, suggests MEMORY.md updates, maintains directory health, and auto-cleans old files.

Why This Exists

Agents wake up fresh every session. Without maintenance:

• Daily notes pile up and become unsearchable
• Important decisions get buried in old sessions
• Context windows fill with irrelevant history
• You repeat the same context-setting every day

This skill automates the tedious work of keeping your agent's memory organized and actionable.

Features

• Content Review: Analyzes daily notes and suggests MEMORY.md updates
• Directory Health: Monitors memory/ directory for naming issues, fragmentation, bloat
• Auto-Cleanup: Archives old reviews (7+ days) and enforces retention policy (30 days)
• Safe by Default: Content changes require approval; only safe maintenance auto-applies

Recommended Model

This skill works well with lightweight models. We recommend:

• Primary: gemini-2.5-flash (fast, cost-effective)
• Fallback: gemini-2.5-flash-lite (if rate limits hit)

Both handle the structured output and analysis tasks efficiently.

Quick Start

# Install the skill
clawhub install memory-maintenance

# Configure (optional)
# Edit config/settings.json to customize schedule, retention, etc.

# Run manually
openclaw skill memory-maintenance run

# Or let it run automatically via cron (configured during install)

Architecture

Daily Session Notes (memory/YYYY-MM-DD.md)
    ↓
Review Agent (scheduled daily)
    ↓
Structured Suggestions (JSON)
    ↓
Human Review (markdown report)
    ↓
Approved Updates → MEMORY.md
    ↓
Auto-Cleanup (archive old files)

Workflow

1. Daily Review (23:00 by default)

   • Scans configurable lookback period (default: 7 days)
   • Checks memory/ directory health
   • Generates suggestions via LLM
   • Outputs structured JSON + human-readable markdown

2. Human Review

   • Read agents/memory/review-v2-YYYY-MM-DD.md
   • Approve/reject suggestions

3. Apply Changes

   # Dry run (preview)
   openclaw skill memory-maintenance apply --dry-run 2026-02-05
   
   # Apply safe changes (archiving, cleanup)
   openclaw skill memory-maintenance apply --safe 2026-02-05
   
   # Apply all (requires confirmation)
   openclaw skill memory-maintenance apply --all 2026-02-05
   

4. Auto-Cleanup (runs after successful review)

   • Archives reviews older than configured threshold
   • Deletes archive files older than retention period
   • Cleans up error logs

Configuration

Edit config/settings.json:

{
  "schedule": {
    "enabled": true,
    "time": "23:00",
    "timezone": "Europe/London"
  },
  "review": {
    "lookback_days": 7,
    "model": "gemini-2.5-flash",
    "max_suggestions": 10
  },
  "maintenance": {
    "archive_after_days": 7,
    "retention_days": 30,
    "consolidate_fragments": true,
    "auto_archive_safe": true
  },
  "safety": {
    "require_approval_for_content": true,
    "require_approval_for_delete": true,
    "trash_instead_of_delete": true
  }
}

Safety

• Content suggestions: Never auto-applied (human review mandatory)
• Safe maintenance (archiving): Auto-applied with --safe
• Risky operations (delete, rename): Require --all + confirmation
• Trash recovery: Deleted files go to agents/memory/.trash/ (recoverable for retention period)

Commands

# Run review manually
openclaw skill memory-maintenance review

# Apply changes
openclaw skill memory-maintenance apply [--dry-run|--safe|--all] DATE

# Run cleanup
openclaw skill memory-maintenance cleanup

# Check status
openclaw skill memory-maintenance status

# View stats
openclaw skill memory-maintenance stats

Integration with MEMORY.md

The skill suggests updates to standard MEMORY.md sections:

• Agent Identity and Core Preferences
• Infrastructure/Setup
• Memory Management
• Backup & Migration
• Contacts
• Scheduled Operations
• Content Creation & Projects
• Active Projects

Files

Output

• agents/memory/review-v2-YYYY-MM-DD.json — Structured suggestions
• agents/memory/review-v2-YYYY-MM-DD.md — Human-readable report
• agents/memory/stats.json — Aggregate statistics

Archive

• agents/memory/archive/YYYY-MM/ — Monthly buckets
• agents/memory/.trash/ — Recoverable deletions

Requirements

• OpenClaw >= 2026.2.0
• Gemini CLI (brew install gemini-cli)
• jq (brew install jq)
• Gemini API key (from Google AI Studio)

Troubleshooting

"Gemini failed" → Check GEMINI_API_KEY is set in .env or environment

"No suggestions generated" → Check daily notes exist in memory/YYYY-MM-DD.md → Review error logs in agents/memory/error-*.txt

"Too many maintenance tasks" → Run openclaw skill memory-maintenance apply --safe to archive old files → Adjust archive_after_days in config

Author

Built by Max Hutchinson as part of an AI agent infrastructure exploration.

• GitHub: @MaxLaurieHutchinson
• Agent: Ash (OpenClaw)

License

MIT — Free to use, modify, distribute.

---

Part of the Hybrid Agent Architecture. Built for agents that improve over time.