neuroskill-bci

To integrate real-time brain-computer interface data into AI responses, connect your assistant to a locally running NeuroSkill instance via WebSocket or HTTP API to stream live cognitive metrics for context-aware interactions.

You can stream real-time neurofeedback data using Muse 2/S, Muse S, or OpenBCI devices, provided the NeuroSkill desktop app is running locally and connected to the wearable to expose the required WebSocket/HTTP API.

Real-time cognitive load monitoring affects AI response generation by feeding 40+ EXG-derived scores, such as focus, drowsiness, and mood, into the model to adjust pacing, prompts, and guidance for cognitively-aware conversations.

Yes, you need Node.js 20+ to expose the WebSocket/HTTP API required to feed live brain-state biometric metrics from the NeuroSkill server into the AI assistant's activation and response generation.

Yes, you can use real-time brain-state metrics across desktop, messaging, and CLI interfaces, as the integration applies cognitively-aware interactions across all these platforms when connected to the local NeuroSkill server.

A key limitation is that real-time biometric AI response tailoring requires a continuously running local NeuroSkill desktop app, a physically connected BCI wearable, and Node.js 20+, making it unsuitable for disconnected or server-only environments.