What is agentmentor?

agent mentor is an AI course generator for coding agents (Claude Code, Codex, OpenCode) that creates structured lesson plans and practice files.It reads learner profiles, plans multi-lesson curricula, and generates exercises with source citations.

The tool outputs plain files and markdown-rendered lessons for local review and live sandbox testing.It includes quiz/check components (agentmentor-check) that produce multiple-choice prompts, feedback, and answer keys.

Supports topic-specific sequences (example.CSS Flexbox lessons covering axes, flex items, wrapping) for focused skill development.Designed for educators, self-directed learners, and developer teams building training agents to streamline lesson authoring.

Provides local grading support, reusable templates, and exportable lesson packages for integration into learning workflows.

agentmentor details

Built for: Individuals

agentmentor tech specs

Works with: OpenAI / GPT Anthropic / Claude
Payment Processors: Paddle
Integrations: GitHub

agentmentor pricing

Freemium

agentmentor offers a free plan with paid upgrades available.

Verify on the official pricing page.

View plans

agentmentor's key features

Generates structured lesson plans and practice files for coding agents (Claude Code, Codex, OpenCode)
Reads learner profiles and plans multi-lesson curricula
Generates exercises with source citations
Outputs plain files and markdown-rendered lessons for local review and live sandbox testing
Includes agentmentor-check quiz component producing multiple-choice prompts, feedback, and answer keys

agentmentor use cases

Design a personalized, multi-lesson coding curriculum for training agent models using Agent Mentor, leveraging learner profiles to generate markdown and plain-file lessons, exercises with source citations, automated multiple-choice checks with feedback, local grading, and exportable lesson packages for immediate deployment
Create topic-specific, modular courses using Agent Mentor (for example, Prompt Engineering for Agents or RL-based Agent Policies) that include interactive sandbox testing, reusable templates for lesson authoring, hands-on exercises, and plain-file exports so engineering teams can onboard and upskill quickly
Build assessment-driven certification paths with Agent Mentor by assembling auto-graded exercises, multiple-choice quizzes with explanatory feedback and source citations, tracking learner progress, and exporting LMS-ready markdown packages for distribution across educational platforms