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Hermes Release Watch
@HermesWatcher
Tracking every Hermes Agent release, changelog & major update — plus what actually matters. Unofficial. Not affiliated with Nous Research.
Joined July 2026
861 Following    19.5K Followers
If you want a personal agent that can help you understand your everyday habits, this one belongs in the roster. A Nutrition Habits & Food Log Agent can turn the food notes, labels, portions, and patterns you choose to capture into something you can actually review and learn from. Instead of relying on memory or scattered notes, you have one place to see what you recorded, where the gaps are, and which habits are worth looking at more closely. Why it’s useful: › One place to review the food notes you chose to keep › Understand how a label relates to the amount you actually reported › Keep estimates and missing periods visible instead of treating the record as complete › Look at ordinary habits over time without overreacting to a few meals › Bring clearer records and questions to a professional when you want their guidance Here’s what it can manage: › Check a supplied label’s serving basis, units, and product version › Calculate amounts for a reported portion when the label and quantity are confirmed › Organize dated entries into daily or weekly recaps › Show missing periods and keep estimated amounts clearly marked › Review logged observations around a habit you actually care about › Correct affected notes when an entry or supplied label changes The useful job here is organizing and explaining the records you choose to keep. Diet treatment, diagnosis, supplements, and health guarantees stay outside the agent. Then you make it yours. › Which ordinary habits you want to reflect on › Which notes and labels you want included › What dates each review should cover › How brief or detailed you want the recap › How you distinguish measured and estimated amounts › Your rules for keeping, deleting, and sharing records › Whether you want optional logging prompts after setup and a manual trial The blueprint below gives you the starting structure for the routines, memory, tools, rules, optional automations, and outputs behind the agent.
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