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This paper compares socio-technical design principles with guidelines for human-centered AI, analyzing their similarities and differences to inform future AI design approaches.
The article compares three open-source AI assistants—Hermes, Loop, and Vellum—focusing on their distinct approaches to memory accumulation and knowledge retention. It highlights Vellum's explicit user approval model as the most reliable for maintaining intentional knowledge states over time.