Memory Types in Agents — Free AI Agents Tutorial
Learn Memory Types in Agents in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Memory Types in Agents in AI Agents with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
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Memory Types in Agents in AI Agents
Agents use multiple types of memory: short-term (working memory, current context), long-term (stored knowledge, learning), and episodic (past events). Short-term memory is fast but limited. Long-term memory is vast but slower to access.
A tutoring agent's short-term memory: current quiz, current student response, immediate feedback. Long-term memory: all past quizzes, concepts mastered, struggle areas, learning rate. Episodic memory: "On May 25, Arjun failed the algebra test."
In practice, agents often use databases for long-term memory and in-memory data structures for short-term. Vector databases (embedding-based) are increasingly popular for fast retrieval of similar past experiences.
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