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.
OpenClaw skills run inside an OpenClaw container. EasyClawd deploys and manages yours โ no server setup needed.
Initial release: Intelligent memory management for OpenClaw agents
--- 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: "[email protected]" url: "https://github.com/MaxLaurieHutchinson" tags: ["memory", "maintenance", "automation", "agent-improvement", "workflow"] metadata: openclaw: emoji: ๐งน 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 ```bash # 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) โ Review Agent (scheduled daily) โ Structured Suggestions (JSON) โ Human Review (markdown report) โ Approved Updates โ MEMORY.md โ 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** ```bash # 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`: ```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 ```bash # 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` โ Structured suggestions - `agents/memory/review-v2-YYYY-MM-DD.md` โ Human-readable report - `agents/memory/stats.json` โ Aggregate statistics ### Archive - `agents/memory/archive/YYYY-MM/` โ Monthly buckets - `agents/memory/.trash/` โ 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"** โ Check `GEMINI_API_KEY` is set in `.env` or environment **"No suggestions generated"** โ Check daily notes exist in `memory/YYYY-MM-DD.md` โ Review error logs in `agents/memory/error-*.txt` **"Too many maintenance tasks"** โ Run `openclaw skill memory-maintenance apply --safe` to archive old files โ Adjust `archive_after_days` in config ## Author Built by **Max Hutchinson** as part of an AI agent infrastructure exploration. - GitHub: [@MaxLaurieHutchinson](https://github.com/MaxLaurieHutchinson) - Agent: Ash (OpenClaw) ## License MIT โ Free to use, modify, distribute. --- *Part of the Hybrid Agent Architecture. Built for agents that improve over time.*