Agent Apprenticeship
by ray-r-renThe 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 ai agent by ray-r-ren, written mainly in Python, with 1,603 GitHub stars and the MIT license. Its code was last updated Oct 21, 2026. The latest npm release is agent-apprenticeship 0.3.0, published Oct 25, 2026, with 47 downloads last week.
Scan summary: scanned Nov 5, 2026 at commit cfbd7a3. No capabilities flagged by our checks. Scan policy
What Agent Apprenticeship can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit cfbd7a3, Nov 5, 2026. See the scan policy.
Before you install Agent Apprenticeship
AgenticMart scanned Agent Apprenticeship on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An AI agent decides its own next steps and calls whatever tools you give it, so its risk depends on the access you grant.
- Based on its description and topics, it likely needs to run shell commands.
Before you install
- Keep tool-call approval on, and run it in a container if you can.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by ray-r-ren on GitHub, 1,603 stars and 59 forks. Popularity is not proof of safety.
- Last code change: Oct 21, 2026.
- Open-source license: MIT.
Agent Apprenticeship is an open-source ai agent by ray-r-ren, written mainly in Python. 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.
At a glance
- Stars
- 1.6k
- Forks
- 59
- Language
- Python
- License
- MIT
- Created
- Jun 2026
- Last update
- Oct 21, 2026
- Type
- AI Agent
- Price
- Free
Topics
Questions about Agent Apprenticeship
What is 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.
Who maintains Agent Apprenticeship?
Agent Apprenticeship is maintained by ray-r-ren on GitHub (ray-r-ren/agent-apprenticeship). AgenticMart lists it from public repository data.
Is Agent Apprenticeship safe to use?
AgenticMart scanned Agent Apprenticeship on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Agent Apprenticeship use?
It is published under the MIT license.
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