neuroskill-bci

Real-time EEG and biometric data streaming requires connecting your assistant to a running NeuroSkill desktop instance via a locally accessible WebSocket or HTTP API. This bridge reads live brain and body metrics from a connected BCI wearable to enable cognitively-aware responses.

Compatible BCI devices for reading live brain metrics include Muse 2, Muse S, and OpenBCI hardware. These wearables connect through the NeuroSkill desktop app, which exposes the streaming biometric data locally via WebSocket or HTTP.

Long-term tracking of focus, relaxation, mood, sleep, and HRV is supported by streaming session-level analytics from a BCI wearable through NeuroSkill. This provides both real-time cognitive-state metrics and historical performance data for analysis.

Yes, the NeuroSkill desktop app is required as a prerequisite to access real-time cognitive-state data locally. It acts as the bridge between your BCI wearable and the local API, preserving privacy by keeping data self-hosted.

Local-first integration handles privacy by operating through a self-hosted API and the NeuroSkill desktop app, ensuring real-time brain and biometric metrics remain locally accessible without transmitting sensitive cognitive-state data to external servers.

Real-time brain metrics enable cognitively-aware interventions by allowing your assistant to dynamically adjust conversation tone, coaching guidance, and behavioral interventions based on live EEG, focus, relaxation, and mood data.