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 task experiences. It implements a complete feedback loop: - Multi-Memory Architecture : Semantic (patterns/rules) + Episodic (experiences) + Working (session context) - Self-Correction : Detects and fixes guidance errors - Self-Validation : Periodically verifies skill accuracy - Evolution Markers : Traceable changes with source…