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Forsy-AI/agent-apprenticeship

Forsy-AI/agent-apprenticeship is an MIT-licensed CLI and seed dataset for running repeated agent tasks with Codex, Claude Code, Cursor, Hermes Agent, and similar tools, then turning the resulting traces, lessons, and task bundles into reusable experience packs instead of letting each run disappear as one-off output.

Open source →Back to radar
Score8.3
Popularity8.3
Riskconditional
TierSilver
Score breakdown
Usefulness8.0
Novelty9.0
Momentum8.0
Maturity6.2
Open-source/build8.4
Evidence7.2
Workflow potential9.1
Setup ease4.2

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for agent builders and serious AI-power users who want a structured way to capture what worked across long-horizon tasks rather than restarting from scratch every session.

Who should use it

developers running the same research or coding loops repeatedlyteams experimenting with mentor-agent or review-agent patternspower users who want reusable agent experience packsbuilders comparing how different coding agents behave on the same task

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

Mentor-provider keys and task content can leave your machine when you use hosted model backends; Optional ecosystem sharing can expose prompts, artifacts, or task traces if you enable automatic contribution.

Evidence links

Closest alternatives / related signals

agentscliworkflow-learningcodexdeveloper-tools