Self-Improving Agent Builder

Purpose

Run a closed-loop improvement cycle on any goal-seeking agent implementation:

EVAL -> ANALYZE -> RESEARCH -> IMPROVE -> RE-EVAL -> DECIDE -> (repeat)

Each iteration measures L1-L12 progressive test scores, identifies failures with error_analyzer.py, runs a research step with hypothesis/evidence/ counter-arguments, applies targeted fixes, and gates promotion through regression checks.

When I Activate