The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
ray-r-ren/agent-apprenticeship is cooling — star growth is decelerating by -0.1/day, though it still holds a momentum score of 34.3/100.
Low breakout odds over the next 14 days, led by star acceleration (55th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Reconstructed from 151 snapshots — the time-series GitHub’s API doesn’t expose.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/ray-r-ren/agent-apprenticeship)Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.