ai-redteam-recursive-self-improvement

The AI Red-Team Recursive Self-Improvement Framework is a governance tool designed for managing recursive self-improvement loops in AI-assisted projects. It enforces a structured protocol that separates proposal creation and acceptance, incorporating rigorous independent checks, documentation, and promotion decision-making to ensure reliability and accountability. Key features include a domain-neutral approach, preservation of failure outputs, and explicit evidence requirements before promoting changes, making it suitable for various applications, including code maintenance and agent orchestration.