"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:
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Installs
225
Repository
zhaono1/agent-playbook
GitHub Stars
69
First Seen
Mar 5, 2026
Security Audits
Gen Agent Trust Hub
Warn
Socket
Warn
Snyk
Pass