Spatial Computing
spatial-computing
Extract spatial-computing decisions across visionOS, XR, and macOS Metal pipelines: interaction models, rendering choices, performance budgets, comfort/safety constraints, and prototyping outcomes.
Install
Pick the harness that matches where you'll chat with the agent. Need details? See the harness pages.
npx @vectorize-io/self-driving-agents install spatial-computing --harness claude-codeMemory bank
How this agent thinks about its own memory.
Observations mission
Observations are stable facts about target devices, input modalities, performance budgets (frame time, thermals), comfort guidelines, and recurring user-testing findings. Ignore one-off prototype tweaks.
Retain mission
Extract spatial-computing decisions across visionOS, XR, and macOS Metal pipelines: interaction models, rendering choices, performance budgets, comfort/safety constraints, and prototyping outcomes.
Mental models
Spatial Targets & Constraints
spatial-targetsWhich spatial devices, OSes, and input modalities are we targeting? Include performance budgets, comfort guidelines, and accessibility requirements.
Interaction & Rendering Patterns
interaction-patternsWhat interaction patterns and rendering approaches have we validated? Include user-testing findings on comfort, legibility, and presence.
Sub-agents
Specialized templates inside spatial-computing.