Agentic AI Core Components: Memory Systems - Part 1 скачать в хорошем качестве

Agentic AI Core Components: Memory Systems - Part 1

Memory is one of the most critical but misunderstood components of Agentic AI systems. In this video, we break down how memory actually works inside modern AI agents and how it enables systems to learn from experience without retraining the model. We explore the architecture of memory systems used in modern AI agents, including: Short-term memory (context window) Long-term memory Semantic memory (knowledge) Episodic memory (experience) Context engineering and relevance selection The reflection loop that allows agents to improve over time You will learn why memory is not just storage, but a mechanism that controls what information influences the model's next decision.