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.
技能说明
name: memory-maintenance version: 1.0.0 description: "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." homepage: https://github.com/MaxLaurieHutchinson/memory-maintenance author: name: "Max Hutchinson" email: "max.hutchinson258@gmail.com" url: "https://github.com/MaxLaurieHutchinson" tags: ["memory", "maintenance", "automation", "agent-improvement", "workflow"] metadata: openclaw: emoji: 🧹 requires: bins: ["gemini", "jq"] env: ["GEMINI_API_KEY"] install: - id: setup kind: script script: ./scripts/install.sh label: "Install memory maintenance"
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
-
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
-
Human Review
- Read
agents/memory/review-v2-YYYY-MM-DD.md - Approve/reject suggestions
- Read
-
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 -
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 suggestionsagents/memory/review-v2-YYYY-MM-DD.md— Human-readable reportagents/memory/stats.json— Aggregate statistics
Archive
agents/memory/archive/YYYY-MM/— Monthly bucketsagents/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.
如何使用「Memory Maintenance」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「Memory Maintenance」技能完成任务
- 结果即时呈现,支持继续对话优化