# codeacme17/examor

For students, scholars, interviewees and lifelong learners. Let LLMs assist you in learning 🎓

Repository: https://github.com/codeacme17/examor
Canonical: https://ross.abutalabs.com/products/examor
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: openai, learning-app, ebbinghaus-memory, azure, gpt-4, claude2
Last push: 2025-06-18T01:44:32+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 27, release rhythm 8, longevity 82
- inputs: {"age_days": 1150, "days_push": 442, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1070, forks 64 (observed 2026-08-28T04:03:27.892938+00:00)

## What it is
Examor is a self-hosted web application that generates exams and review questions from your knowledge notes using LLMs like GPT-4 and Claude. It applies Ebbinghaus spaced-repetition principles to help learners genuinely retain what they have written.

## Use cases
- generate quizzes from my study notes
- spaced repetition review of things I've learned
- practice interview questions from my notes
- self-testing app for lifelong learning
- turn markdown notes into exams with LLM
- memorize what I write using AI-generated questions

## When to choose
- you take notes but rarely revisit them and want AI-driven review
- you want a self-hosted study tool powered by GPT-4 or Claude
- you're preparing for interviews or exams from your own knowledge base

## When to avoid
- you want a simple flashcard app without LLM API costs
- you need a fully managed hosted service rather than Docker deployment
- you don't use OpenAI or Azure or Claude API access

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, chatbot, self-hosted
- domain: education, artificial-intelligence, large-language-models, self-hosted, developer-tools
- platform: self-hosted
- tags: spaced-repetition, ebbinghaus, exam-generation, note-taking, study-tool, openai, gpt-4, claude, docker, web-server, typescript

## Member repositories
- codeacme17/examor (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:27.892938+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:54:00.536075+00:00, confidence not recorded.
  - readme: https://github.com/codeacme17/examor (fetched 2026-08-28T04:03:27.892938+00:00, sha b29bf1f51524)
- Data as of 2026-08-30T08:39:29.467469+00:00.