Self Improving Agent

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

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skill

AI & Machine Learning

intermediate

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Last updated: April 23, 2026

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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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

clawhub install self-improving-agent

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

Integration

Works best with:

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

License

MIT License - Help agents get better every day!

Self Improving Agent

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

Tags

Multi-Agent Patterns

Be Part of the 0+ Developer Community

Self-Improving Agent

Features

Installation

Usage

Automatic Analysis

Manual Improvement Logging

Generate Weekly Report

Configuration

Integration

License

Memory Systems Design

Context Degradation Detection

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