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

Installation#

bash

clawhub install self-improving-agent

Usage#

Automatic Analysis#

The skill automatically analyzes conversations after each session.

Manual Improvement Logging#

python

from self_improving import SelfImprovingAgent

sia = SelfImprovingAgent()
sia.log_improvement("Need to be more concise in technical explanations")

Generate Weekly Report#

python

report = sia.generate_weekly_report()
print(report)

Configuration#

SettingDefaultDescriptionimprovement_log./improvement_log.mdLearning log filesoul_file./SOUL.mdPersonality anchor fileauto_analyzetrueAuto-analyze conversations

Integration#

Works best with:

• memory-manager: For tracking improvement history
• Custom agent personalities (SOUL.md)

License#

MIT License - Help agents get better every day!