GitHub intelligence

ray-r-ren/agent-apprenticeship

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.

Observed OCT 8, 2026 · 00:08 UTC

Facts

Language
Python
License
mit
Created
JUN 19, 2026
Last push
Last release

Measurements

Stars
1,617
Forks
62
7D change
Collectingfrom OCT 9
30D change
Collectingfrom NOV 1
90D change
Collectingfrom DEC 31
Velocity
Collectingfrom OCT 16
Acceleration
Collectingfrom OCT 23
Trajectory
Collectingfrom OCT 16
Trending percentile
Collectingfrom OCT 16

Categories

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Technologies

Star history

Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.

1.6K1.6KJUL 10JUL 31AUG 21SEP 11OCT 2OCT 2: 1,617 stars
Observed days (1)
DayStarsForks
OCT 21,61762