NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind
This addresses the need for real-time, offline agentic systems in brain-computer interface applications, though it appears incremental by building on existing models and methods.
The paper tackles the problem of real-time proactive agentic systems by introducing NeuroSkill(tm), which models Human State of Mind using EXG models and text embeddings, running offline on edge devices, and achieves engagement through actionable tool calls and protocol execution.
Real-time proactive agentic system, capable of modeling Human State of Mind, using foundation EXG model and text embeddings model, running fully offline on the edge. Unlike all previously known systems, the NeuroSkill(tm) system leverages SKILL.md description of Human's State of Mind via API and CLI provided by the system, directly from the Brain-Computer Interface (BCI) devices, which records Human biophysical and brain signals. Our custom harness - NeuroLoop(tm) - utilizes all of the above to run agentic flow that manages to engage with the Human on multiple cognitive and affective levels of their State of Mind (e.g., empathy), by providing actionable tool calls and protocol execution with explicit or implicit requests from the Human. GPLv3 open-source software with ethically aligned AI100 licensing for the skill markdown.