deep-innovation-loop

What problem does it solve?

Autonomously drives a multi-round research loop to diagnose root causes, search literature, synthesize novel method variants, and evolve ML approaches over 40+ iterations.

Core Features & Use Cases

• Root-cause diagnosis: identifies why a method fails, not just what fails.
• Literature-driven design: integrates literature reviews to propose new techniques.
• Automated experimentation: implements and evaluates variants across rounds with persistent logs.
• End-to-end evolution: supports 40+ rounds with state persistence and evolution logs.

Quick Start

Start an autonomous deep-innovation loop by configuring the Research Anchor and triggering Phase A diagnosis to begin iterative method evolution.