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A novel approach called “context engineering” is gaining traction as a potential solution to the short-term memory limitations plaguing current AI models such as ChatGPT and Claude. This technique centers on enhancing the way AI systems manage and retain contextual information. Proponents argue that by improving context management, AI can achieve a form of persistent memory, resulting in more coherent, consistent, and contextually relevant outputs. The fundamental principle is that the accuracy and pertinence of an AI’s responses are intrinsically linked to the quality and duration of the context it possesses. More information is available in the original Reddit post: https://old.reddit.com/r/artificial/comments/1nl7tni/built_something_to_solve_ais_memory_problem/