AgentSense
LLM agents live out daily routines in simulated smart homes to generate virtual ambient sensor data for activity recognition (AAAI 2026)
A generated day from the paper: persona "Aaron" in home 0 on Monday morning. The agent follows its LLM-written routine, motion sensors light up when it is in range, and the resulting sensor event stream is what activity-recognition models are trained on.
⚡ How to use AgentSense
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/zikangleng-agentsenseCapabilities
Do you own AgentSense?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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