Quest — Socratic AI tutor that never gives the answer, only asks the next better question.
Project description
Quest
Socratic AI tutor — no explanations, only the next better question. Separate evaluator, concept DAGs, mastery tracking, resumable sessions.
Requires Python 3.11+
pip install -U quest-ai
mkdir -p ~/.quest
echo 'ANTHROPIC_API_KEY=sk-ant-...' >> ~/.quest/.env
quest
Quick start
| Command | What it does |
|---|---|
quest |
Topic catalog → pick or search → session |
quest TOPIC |
Start or resume a topic |
quest TOPIC --fresh |
New session, replay full concept DAG |
quest topic new "your goal" |
Generate a concept map (LLM) |
quest mastery |
Mastery scores |
quest reset |
Wipe progress (topic YAMLs stay) |
At the catalog prompt: 3, rag_pipeline, rag_pipeline --fresh, new react hooks, help, quit.
Data when installed: ~/.quest/ (quest.db, checkpoints, your topics). In a git checkout, data stays beside cli.py.
How scoring works
The evaluator scores your latest answer to the latest question (see /last in a session). The tutor sees the full back-and-forth on the current concept so follow-up questions can build on what you said.
vs “just use ChatGPT”
Quest is for learning: tutor does not teach; a separate model scores you; topics are prerequisite graphs; progress persists with SM-2 scheduling.
Docs
Development
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env
pytest
python cli.py
Optional: QUEST_WIZARD=1 quest for arrow-key menus instead of the Rich catalog.
Author
yuvrxj — PyPI package quest-ai.
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