Unverified50% confidenceFactExact time
StareBrain splits the context needed by an on-device AI Agent into two categories: action context (describing the user's requested action, its parameters and the App that can complete it) and device context (information the phone already knows, such as upcoming calendar events, saved locations and recent search history).
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe complete interaction workflow includes: the Agent analyzing the task, identifying steps that require user action, calculating the coordinates of target elements, rendering visual guidance, listening for user actions, verifying the results of actions, and proceeding to the next step73% similarUnverifiedStareBrain's key design decision is that the Agent must resolve parameters from device context before action dispatch, rather than during dispatch or by asking the user afterwards.72% similarUnverifiedVisual input lets agents read screenshots, operate UIs and understand document layouts; agentic tasks require the model to make multi-step decisions rather than single-turn Q&A.71% similarUnverifiedAgent Mode designed two context acquisition paths: background context is automatically collected from the workspace and trimmed before entering the prompt; focused context comes from the user's selections or mentions and is passed through a custom processor.71% similar
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