Siesta is a new local agent designed for low-power, 'napping' operation, minimizing resource usage when idle. This agent can process photos of refrigerators to provide inventory, suggest meals, and generate shopping lists, running entirely on local open-weight models. Its core innovation lies in prioritizing efficiency and user privacy by only acting when necessary, a novel approach to AI agent design.
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