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Hetula provides a memory layer for language models that converts text context into structured memory made up of meanings, connections, conditions and exceptions. The layer is positioned in front of a language model and is designed to work with different models, separating memory storage and retrieval from the model itself. It addresses problems with text-based context by reducing the need to reread the full conversation on each turn and by managing how information is stored, updated and expired. Hetula describes a four-step process covering storing new information, retrieving relevant memory into the model, updating existing memory and setting aside outdated sources.
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- hetula.io