This is the Windows app named Agent Apprenticeship whose latest release can be downloaded as v0.2.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Agent Apprenticeship
DESCRIPTION:
Agent Apprenticeship is an open infrastructure project for turning real AI-agent work into reusable learning signals. It lets local agents complete tasks through iterative workflow loops, then records the process as experience that can improve future agents. Apprentice agents can be paired with mentor agents, human reviewers, or domain experts depending on the selected mode. The project supports Codex, Cursor, Claude Code, OpenClaw, OpenCode, Hermes Agent, and custom agent commands. Its seed dataset includes curated tasks, reusable lessons, execution traces, work episodes, and structured experience records. It is designed for long-horizon agent work, workflow evaluation, runtime training, and shared improvement across an agent ecosystem.
Features
- Iterative agent workflow loops
- Autonomous, expert-led, and organization modes
- Codex, Cursor, Claude Code, OpenClaw, OpenCode, and Hermes support
- Reusable experience compilation records
- Seed dataset with agent traces and lessons
- Local CLI setup and configuration
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/agent-apprenticeship.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.