Solid hands-on tutorial for building AI tutors that actually remember what you're struggling with. The combination of persistent memory, semantic recall, and adaptive practice generation addresses one of the biggest limitations of current educational AI - the "goldfish memory" problem. Worth bookmarking if you're exploring personalized learning agents.
Solid hands-on tutorial for building AI tutors that actually remember what you're struggling with. The combination of persistent memory, semantic recall, and adaptive practice generation addresses one of the biggest limitations of current educational AI - the "goldfish memory" problem. 🧠 Worth bookmarking if you're exploring personalized learning agents.
A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system to persist user preferences, track weak learning areas, and selectively recall only relevant past context when responding. By combining durable storage, semantic retrieval, and adaptive prompting, we demonstrate how […] The post A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall,
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