Self-Improving Agent
An intelligent self-improvement system for OpenClaw agents that analyzes conversation quality and continuously optimizes performance.
Features
- Quality Analysis: Evaluates conversation effectiveness
- Improvement Tracking: Identifies areas for enhancement
- Learning Log: Records insights and lessons learned
- Weekly Reports: Generates improvement summaries
- Strategy Optimization: Adapts response patterns over time
Usage
Automatic Analysis
The skill automatically analyzes conversations after each session.
Manual Improvement Logging
from self_improving import SelfImprovingAgent
sia = SelfImprovingAgent()
sia.log_improvement("Need to be more concise in technical explanations")Generate Weekly Report
report = sia.generate_weekly_report()
print(report)Configuration
| Setting | Default | Description |
|---|---|---|
| improvement_log | ./improvement_log.md | Learning log file |
| soul_file | ./SOUL.md | Personality anchor file |
| auto_analyze | true | Auto-analyze conversations |