Python · MIT
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.
★ 1.6k
Stars
59 forks · 0 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
24.1
Momentum / 100
see the breakdown below
4mo ago
Created
last push 18d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 13.7 | last push 18d ago; decays to zero at 180 days |
| Scale | 15 | 9.3 | 1.6k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 24.1 | sum of the above |
Detail
| Topics | agent-apprenticeshipagent-experienceagent-learningagent-tracesai-agentsautonomous-agentsclaude-codecodexcursorloop-engineeringopenclawopencode |
| Matched on | AI Agents (agentic-ai, autonomous-agents) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +-14 stars over 26 days = -0.5/day |
| Lifetime average | 11.55 stars/day over 139 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |