Self Reflection
Continuous self-improvement through structured reflection and memory
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Continuous self-improvement through structured reflection and memory
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A skill for continuous self-improvement. The agent tracks mistakes, lessons learned, and improvements over time through regular heartbeat-triggered reflections.
# Check if reflection is needed self-reflection check # Log a new reflection self-reflection log "error-handling" "Forgot timeout on API call" "Always add timeout=30" # Read recent lessons self-reflection read # View statistics self-reflection stats
Heartbeat (60m) → Agent reads HEARTBEAT.md → Runs self-reflection check │ ┌─────────┴─────────┐ ▼ ▼ OK ALERT │ │ Continue Reflect │ ┌─────────┴─────────┐ ▼ ▼ read log (past lessons) (new insights)
| Command | Description |
|---|---|
| check [--quiet] | Check if reflection is due (OK or ALERT) |
| log | Log a new reflection |
| read [n] | Read last n reflections (default: 5) |
| stats | Show reflection statistics |
| reset | Reset the timer |
Enable heartbeat in ~/.openclaw/openclaw.json:
{ "agents": { "defaults": { "heartbeat": { "every": "60m", "activeHours": { "start": "08:00", "end": "22:00" } } } } }
Add to your workspace HEARTBEAT.md:
## Self-Reflection Check (required) Run `self-reflection check` at each heartbeat. If ALERT: read past lessons, reflect, then log insights.
Create ~/.openclaw/self-reflection.json:
{ "threshold_minutes": 60, "memory_file": "~/workspace/memory/self-review.md", "state_file": "~/.openclaw/self-review-state.json", "max_entries_context": 5 }
Created by hopyky
MIT
No automatic installation available. Please visit the source repository for installation instructions.
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