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Adaptive Learner

Learn the way you actually learn.

Adaptive Learner is an open-source learning companion built on a research-backed six-method model. You take a 12-question assessment, the app discovers which methods suit you, then AI-supported sessions walk you through a seven-step learning cycle. The app adapts how it teaches based on how you actually learn. Continuously developed — find the current version on the Releases page.

Try it now GitHub

What makes it different

Six methods, not one

Most learning apps pick one approach — flashcards, video, gamified streaks — and assume everyone learns the same way. Adaptive Learner ships six methods (deductive, inductive, error-based, dialogic, contextual, AI-adaptive) and helps you switch between them as you grow.

The six methods →

A seven-step learning cycle

Each session walks through Input → Attempt → Error → Feedback → Adapt → Repeat → Integrate. A dual-prompt AI evaluates per turn whether you're ready to advance, stay, or step back. No conveyor belt — real cognitive pacing.

The seven-step cycle →

Local-first, AI-powered

Toggle between Local mode (everything in your browser, AI calls direct to Anthropic / OpenAI / Gemini) and Server mode (FastAPI backend). Bring your own AI key. Install as a PWA — works offline for past sessions and Dashboard.

Getting started →

Git for learning

Sessions are commits. Trends emerge across weeks. Streaks matter but aren't the point. The point is patterns: which method works for which topic, where you spend cognitive time, what method-switch unlocked progress.

Tracking →

Quick start

  1. Open the live app at astrapi69.github.io/adaptive-learner.
  2. Pick your language + onboard your learning project (topic, goal, timeframe).
  3. Take the 12-question assessment (~2 minutes).
  4. Add your AI API key (Anthropic, OpenAI, or Gemini — free tiers work).
  5. Start your first session from the Dashboard.

Full getting-started guide →

Documentation

Status

Active development. The current version and its highlights live on the GitHub Releases page; the full history is in changelog/releases.

  • Thousands of automated tests across backend, plugins, and frontend (Vitest), plus a Playwright smoke + Dexie-mode release-gate suite
  • 11 UI languages, all fully translated (DE / EL / EN / ES / FR / HI / ID / JA / KO / PT / TR)
  • 13 plugins (assessment / 3 AI providers / session / tracking / tools / gamification / anki / notebooklm / learning-repo / content-loader / missions)
  • 26 bundled content sets — 424 lessons / 5405 cards across 10 content languages and 5 domains
  • 30 SQLAlchemy models, sync surface 30 tables
  • 2 storage modes (Local IndexedDB / FastAPI backend), plus the desktop launcher's secrets.yaml overlay
  • MIT licensed

Source code, issues, and contributions: github.com/astrapi69/adaptive-learner.