How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory

In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage using embeddings and FAISS for fast similarity search, and we add episodic memory that captures what worked, what failed, and why, so the agent can reuse successful […] The post How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory appeared first on MarkTechPost.