- name
- MetaClaw
- description
- Generischer Skill für Memory-Management, Hybrid Retrieval und Skill Evolution mit PluginEval Integration
MetaClaw Skill - Memory Management & Skill Evolution
Use when: Memory-Suche mit Hybrid Retrieval (LanceDB + FTS), automatische Memory-Extraktion, PluginEval Quality Checks, oder Skill Evolution. Dieser Skill bündelt die besten MetaClaw-Konzepte für generische Memory-Systeme.
Overview
MetaClaw ist ein generischer Skill für fortgeschrittene Memory-Management-Lösungen mit:
- Hybrid Retrieval - Kombiniert semantische Suche (LanceDB) mit FTS/Keyword-Suche
- Memory Extraction - Automatische Extraktion aus Sessions in preferences.md, project-state.md
- Session Counter - Tracking für konsolidierte Memory-Konsolidation (Trigger: N Sessions)
- PluginEval Integration - Auto-Fix für Quality Badge ≥ Gold (≥85)
- Auto-Dream Consolidation - Automatische Memory-Konsolidierung basierend auf Session-Zähler
Installation
# VEnv für Dependencies erstellen (wird automatisch verwendet)
cd ~/.openclaw/workspace/skills/metaclaw
python3 -m venv .venv-metaclaw
source .venv-metaclaw/bin/activate
pip install lancedb sentence-transformersUsage
CLI Interface
# Hybrid Retrieval (default: 0.6 semantic + 0.4 keyword)
python3 scripts/memory-vector-wrapper.py "query" --mode hybrid
# Semantic Search
python3 scripts/memory-vector-wrapper.py "query" --mode semantic
# Keyword Search (FTS)
python3 scripts/memory-vector-wrapper.py "query" --mode keyword
# Memory Extraction
python3 scripts/memory-extract.py [--date YYYY-MM-DD] [--dry-run]
# Session Counter
./scripts/session-counter.sh --increment
./scripts/session-counter.sh --check # exit 0 = consolidation ready
# PluginEval Quality Check
python3 scripts/skill-eval.py --layer1 skills/metaclaw/
# Auto-Fix (mit --allow-write zum Schreiben)
python3 scripts/skill-eval.py --auto-fix --allow-write skills/metaclaw/Output
Memory Vector Search (JSON)
{
"id": "memory/2026-04-01.md",
"path": "/Users/donmeusi/.openclaw/workspace/memory/2026-04-01.md",
"snippet": "Extrahierter Inhalt...",
"date": "2026-04-01",
"type": "daily",
"tags": [],
"score": 0.0,
"relevance": 0.0,
"method": "hybrid",
"combined_score": 0.0
}Memory Extraction (JSON)
{
"extracted": "2026-04-01",
"type": "project_state",
"confidence": 0.85,
"items": [
{
"category": "Project",
"content": "MetaClaw Integration Phase 1",
"type": "update",
"source": "session"
}
],
"preferences": [],
"project_state": []
}Session Counter
$ ./scripts/session-counter.sh --check
# exit 0: consolidation ready
# exit 1: not ready yetConfig
memory/config.yaml
# Hybrid Retrieval Settings
retrieval:
default_mode: "hybrid" # semantic, keyword, fts, hybrid
semantic_weight: 0.6 # 0.6 semantic + 0.4 keyword/fts
default_limit: 5
# Consolidation Settings
consolidation:
interval_sessions: 10 # alle N Sessions
min_interval_hours: 6 # min 6h zwischen Consolidations
max_memory_lines: 200 # Maximum Zeilen in MEMORY.md
# Logging
logging:
level: "INFO" # DEBUG, INFO, WARNING, ERROR
file: "~/.openclaw/workspace/memory/.log"Auto-Dream Consolidation
Trigger-Logik
- Session Counter: Zählt Sessions (default: 10)
- Mindestintervall: 6 Stunden zwischen Consolidations
- Auto-Detect: In
memory-digest-enhanced.sh
Cron-Job (Optional)
# crontab -e
# Tägliche Auto-Dream Consolidation (03:00)
0 3 * * * "$HOME/.openclaw/workspace/scripts/memory-digest-enhanced.sh" --auto-dreamPluginEval Integration
Quality Check (Layer 1)
# Read-Only Check
python3 scripts/skill-eval.py --layer1 skills/metaclaw/
# Anti-Pattern Detection
python3 scripts/skill-eval.py --anti-patterns skills/metaclaw/
# Auto-Fix Preview (Read-Only)
python3 scripts/skill-eval.py --auto-fix skills/metaclaw/
# Auto-Fix (mit Schreiben)
python3 scripts/skill-eval.py --auto-fix --allow-write skills/metaclaw/Quality Targets
- Gold Badge: ≥85 Punkte (Ziel)
- Silver Badge: ≥70 Punkte
- Bronze Badge: ≥60 Punkte
Implementation Details
Hybrid Retrieval Algorithm
# Combined Score = 0.6 * Semantic + 0.4 * FTS
combined_score = semantic_weight * semantic_relevance + (1 - semantic_weight) * fts_scoreMode Selection
| Mode | Algorithmus | Use Case |
|---|---|---|
semantic | Vector-Suche | Semantische Ähnlichkeit |
keyword | File-Inhalts-Suche | Exakte Begriffe |
fts | LanceDB FTS | Schnelle Keyword-Suche |
hybrid | Kombiniert | Standard (empfohlen) |
Session Counter
scripts/session-counter.sh
Trackt Sessions für konsolidierte Consolidation:
# Increment on Heartbeat
scripts/session-counter.sh --increment
# Get current count
scripts/session-counter.sh --get
# Reset after Consolidation
scripts/session-counter.sh --reset
# Check if consolidation should run
scripts/session-counter.sh --check # exit 0 = yes, exit 1 = noMemory Digest
scripts/memory-digest-enhanced.sh
Konsolidiert Memory-Files mit Session-basierter Logik:
# Normal run (check if consolidation needed)
scripts/memory-digest-enhanced.sh
# Force run (override check)
scripts/memory-digest-enhanced.sh --force
# Dry run (show what would be done)
scripts/memory-digest-enhanced.sh --dry-run
# Auto-dream mode (with consolidation)
scripts/memory-digest-enhanced.sh --auto-dreamIntegration in OpenClaw
Heartbeat Integration
Füge folgenden Task zur Heartbeat-Logik hinzu:
# scripts/heartbeat.sh
"$HOME/.openclaw/workspace/scripts/session-counter.sh" --incrementCron Integration
# crontab -e
# Auto-Dream tägliche Consolidation (Optional)
0 3 * * * "$HOME/.openclaw/workspace/scripts/memory-digest-enhanced.sh" --auto-dreamTroubleshooting
Problem: "Dependencies nicht verfügbar"
Lösung:
source .venv-metaclaw/bin/activate
pip install lancedb sentence-transformers numpyProblem: "Tabelle nicht gefunden"
Lösung:
python3 skills/metaclaw/scripts/memory_vector_init.pyProblem: Session-Counter füllt sich nicht auf
Lösung:
./scripts/session-counter.sh --status
# Prüfe ob --increment in Heartbeat aufgerufen wirdChangelog
Version 1.0.0 (2026-04-01)
Added:
- Generischer MetaClaw Skill für ClawHub
- Hybrid Retrieval (semantic + FTS)
- Memory Extraction Pipeline
- PluginEval Integration
- Session Counter für konsolidierte Consolidation
- Memory Digest mit Session-basierter Logik
Changed:
- Default Mode:
hybrid(stattsemantic) - Score-Kombination:
0.6 * semantic + 0.4 * keyword
Removed:
- Keine Breaking Changes (Backwards compatible)
Referenzen
~/.openclaw/workspace/skills/memory-vector/- Original Hybrid Retrieval~/.openclaw/workspace/scripts/memory-extract.py- Memory Extraction~/.openclaw/workspace/scripts/skill-eval.py- PluginEval~/.openclaw/workspace/notes/projects/metaclaw-integration.md- Integration Plan
*Last updated: 2026-04-01* *Category: automation, memory* *Tags: #hybrid-retrieval #memory #skill-evolution #plugineval*