by Forsy-AI · Codex Skill · ★ 1.3k
Agent Apprenticeship The living ecosystem where AI agents learn from real-world work through iterative workflow loops, reusable experience, and collective training signal exchange. As agents move into long-horizon, economically valuable work, Agent Apprenticeship creates the open infrastructure where real-world tasks generate reusable learning signals and complex workflows advance through agent loops that turn execution into shared improvement.
| Stars | 1,263 |
| Forks | 52 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.8815962244933/100 |
| Last Updated | 2026-07-06 |
| Created | 2026-06-19 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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agent-apprenticeship is 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 reus. It is categorized as a Codex Skill with 1.3k GitHub stars.
agent-apprenticeship is primarily written in Python. It covers topics such as agent-apprenticeship, agent-economy, agent-experience.
You can find installation instructions and usage details in the agent-apprenticeship GitHub repository at github.com/Forsy-AI/agent-apprenticeship. The project has 1.3k stars and 52 forks, indicating an active community.
agent-apprenticeship is released under the MIT license, making it free to use and modify according to the license terms.