The evolution of artificial intelligence from stateless models to autonomous, goal-driven agents depends heavily on advanced memory architectures. While Large Language Models (LLMs) possess strong reasoning abilities and vast embedded knowledge, they lack persistent memory, making them unable to retain past interactions or adapt over time. This limitation leads to repeated context injection, increasing token […]The post Architecture and Orchestration of Memory Systems in AI Agents appeared first on Analytics Vidhya.