expert-mentor
Turn any capable LLM — Claude, ChatGPT, Gemini, or a local Ollama / llama.cpp model — into a professional teacher for any field.
expert-mentor generates a calibrated expert-mentor system prompt for a given
field and level, runs the tutoring session directly, remembers what the learner
has mastered across sessions, and assesses progress from the transcript.
Highlights
- Provider-native prompts — XML-shaped, prompt-cached system blocks for
Claude;
developerrole,max_completion_tokens, andreasoning_effortfor ChatGPT reasoning models. - Live sessions over Anthropic, OpenAI, Ollama, and llama.cpp (standard
library only, no
pip installneeded to run). - Persistent learner memory — mastered / shaky / misconceptions / open questions, injected into every future session.
- Model-assisted review — turn a session transcript into an updated profile.
- Curriculum design, saved mentors, live model discovery, and a config file.
- Zero runtime dependencies; Python 3.8+.
Install
pipx install expert-mentor # or: pip install expert-mentor
mentor --field "quantum computing" --level beginner
Quick start
mentor run --field "Rust" --provider claude --remember
mentor curriculum --field "Rust" --duration "6 weeks"
mentor fields
MIT licensed.
1 maintainer
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