Building AI Agents with Memory Systems: Cognitive Architectures for LLMs
Introduction In recent years, the capabilities of large language models (LLMs) have rapidly expanded, allowing them to perform complex tasks such as content generation, question answering, and even code generation. However, despite their impressive abilities, LLMs are largely considered stateless—meaning that each call to a model starts fresh without any memory of past interactions. To […]
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