SAGE: Situation-Aware Governance Engine
A research environment that wraps a frozen language model in a persistent identity, memory, trust and governance loop, testing whether an agent's capability can come from surrounding structure rather than model weights alone.
SAGE explores turning a frozen language-model substrate into a longer-lived agent that accumulates context, remembers, allocates attention, uses tools, interacts with sensors, and acts under explicit governance, rather than behaving like a fresh stateless API call on every prompt. It sits in a broader Web4 stack, where Web4 itself provides persistent identity, contextual trust and witnessed action, Hestia governs local human and agent authority, and Hub governs the society or community boundary, with SAGE as the cognition and embodiment research layer.
The project is explicitly research-stage and states plainly what is measured, what is implemented but only thinly exercised, and what remains aspirational, rather than claiming an embodied, sovereign agent stack as a present capability. It is written in Python and targets edge hardware such as NVIDIA Jetson devices.