Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
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.
skill openclawclawhub Free
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.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, config/settings.json, scripts/apply.sh, scripts/cleanup.sh, scripts/install.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- MaxLaurieHutchinson
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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) β Review Agent (scheduled daily) β Structured Suggestions (JSON) β Human Review (markdown report) β Approved Updates β MEMORY.md β 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 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
Output
agents/memory/review-v2-YYYY-MM-DD.json β Structured suggestions agents/memory/review-v2-YYYY-MM-DD.md β Human-readable report agents/memory/stats.json β Aggregate statistics
Archive
agents/memory/archive/YYYY-MM/ β Monthly buckets agents/memory/.trash/ β 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" β Check GEMINI_API_KEY is set in .env or environment "No suggestions generated" β Check daily notes exist in memory/YYYY-MM-DD.md β Review error logs in agents/memory/error-*.txt "Too many maintenance tasks" β Run openclaw skill memory-maintenance apply --safe to archive old files β 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 β Free to use, modify, distribute. Part of the Hybrid Agent Architecture. Built for agents that improve over time.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Config
- SKILL.md
- README.md
- scripts/apply.sh
- scripts/cleanup.sh
- scripts/install.sh
- config/settings.json