Education

    AI tutors that actually adapt

    Every student learns differently. Some need visual examples, others need step-by-step logic. Generic AI tutors treat everyone the same. Memory lets your tutor adapt to each student.

    AI Tutor

    Why AI tutoring falls short

    AI tutors can explain any concept. But explaining isn't teaching. Teaching requires understanding how this specific student learns, what they already know, and what analogies resonate with them.

    Without memory, AI tutors make the same mistakes human tutors avoid:

    One-size-fits-all explanations

    Sarah learns best through visual diagrams. Marcus needs step-by-step logic. Without memory, both get the same generic explanation that works for neither.

    No building on prior knowledge

    A student who understood fractions through pizza slices would benefit from the same analogy for percentages. Without memory, the tutor can't make these connections.

    Repeated struggles ignored

    A student has asked about the same concept three times. Each time, the AI gives the same explanation that clearly isn't working. A good tutor would try a different approach.

    Tutoring that learns the learner

    With MemoryStack, your AI tutor builds a learning profile for each student. It knows their learning style, what analogies work, what concepts they've mastered, and where they struggle. Every session builds on the last.

    1

    Learning style detection

    Track which explanation styles lead to understanding. Visual examples? Step-by-step logic? Real-world analogies? The tutor learns what works for each student.

    2

    Knowledge graph building

    Track what concepts the student has mastered. When teaching something new, reference concepts they already understand. Build knowledge systematically.

    3

    Adaptive difficulty

    Recognize when a student is struggling and simplify. Recognize when they're bored and challenge them. Adjust pace based on demonstrated understanding, not assumptions.

    What adaptive tutoring looks like

    Same question, different students
    Student A (visual learner, likes sports)

    "Think of velocity like a basketball's speed and direction. When you throw it up, it slows down (negative acceleration) until it stops at the peak, then speeds up going down."

    Student B (logical, prefers formulas)

    "Velocity is the derivative of position: v = dx/dt. Acceleration is the derivative of velocity: a = dv/dt. Let's work through the math step by step."

    Building on prior knowledge

    Memory: Student understood fractions using pizza slices (3 weeks ago)

    New explanation: "Remember how we divided pizza into slices? Percentages are the same idea, but we always divide into 100 slices. So 25% is like having 25 slices of a 100-slice pizza."

    Recognizing struggle patterns

    Memory: Student has asked about quadratic formula 3 times, each time getting confused at the discriminant step

    Adaptive response: "I notice the discriminant (b² - 4ac) keeps tripping you up. Let's slow down and focus just on that part. Forget the rest of the formula for now."

    Featured Example

    AlgoTutor: AI Coding Interview Prep

    See adaptive tutoring in action. AlgoTutor is an open-source AI coding tutor built with MemoryStack that remembers your learning style and progress.

    What it does

    • Voice & text tutoring modes with Gemini AI
    • Remembers your coding style and common mistakes
    • Progressive hints that guide without giving answers
    • Tracks progress across sessions and problems
    • Secure code execution with E2B sandboxes

    Tech stack

    Next.js 14TypeScriptGemini AIMemoryStackMonaco EditorE2BClerk Auth
    View on GitHub

    Clone and deploy in minutes. Full source code included.

    Get the code

    Build AI that teaches, not just explains

    Start with 1,000 free memories. Create tutors that adapt to every learner.