The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health 42/100. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Claude
Fastest way to find out if agent-apprenticeship belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Forsy-AI/agent-apprenticeship ~/.claude/agents/agent-apprenticeshipRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/agent-apprenticeshipNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ agent-apprenticeship/ ← installs here └─ settings.json
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.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 6, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.