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Team Builds Memory-Retaining AI Tutor in Four Days Using Cognee at Hackathon

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A development team created Continuum, an AI tutoring system, during a hackathon using Cognee as its memory layer alongside FastAPI and a large language model. Unlike conventional AI tutors that reset between sessions, Continuum is designed to remember student mistakes, recognize learning patterns, and adapt its teaching strategies over time. The system is built around four core memory operations: remembering student interactions, recalling past context, improving teaching preferences, and forgetting resolved misconceptions. The team structured the four-day build so that each day's work depended on the previous, starting with verifying the memory pipeline before layering on curriculum and tutoring logic. The project aimed to demonstrate the smallest viable version of a personalized tutor that could convincingly show continuity across student sessions.

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Team Builds Memory-Retaining AI Tutor in Four Days Using Cognee at Hackathon · ShortSingh