Self-Improving Agent

"An AI agent that learns from every interaction, accumulating patterns and insights to continuously improve its own capabilities." — Based on 2025 lifelong learning research

Overview

This is a universal self-improvement system that learns from ALL skill experiences, not just PRDs. It implements a complete feedback loop with:

• Multi-Memory Architecture: Semantic + Episodic + Working memory
• Self-Correction: Detects and fixes skill guidance errors
• Self-Validation: Periodically verifies skill accuracy
• Hooks Integration: Auto-triggers on skill events (before_start, after_complete, on_error)
• Evolution Markers: Traceable changes with source attribution

Research-Based Design

Based on 2025 research: