Self Improving Agent

Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.

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

Setting	Default	Description
improvement_log	./improvement_log.md	Learning log file
soul_file	./SOUL.md	Personality anchor file
auto_analyze	true	Auto-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!