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.
Create a system where AI agents learn from tasks and improve their performance over time.
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Free · no card · unsubscribe anytimeThe 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.
agent-apprenticeship has 1.3k stars on GitHub. It has been forked 59 times. agent-apprenticeship is written mainly in Python. It has been in active development since 2026. agent-apprenticeship is available under the MIT license. Its main topics are agent-apprenticeship, agent-economy, agent-experience, agent-learning.
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.
agent-apprenticeship is an open-source project. It is released under the MIT license.
Yes. agent-apprenticeship is free and open source — you can use, modify and self-host it.
agent-apprenticeship is available under the MIT license.
agent-apprenticeship is written mainly in Python.
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