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DedAI Bridge is a desktop application developed by DedAI that connects an EEG headset to the DedAI brain-driven music platform, streaming brain signals over a secure, scoped local WebSocket via BrainFlow. Positioned within the brain-computer interface and hardware integration category, the application serves as a small relay utility that transfers EEG data from a research headset into the DedAI ecosystem, enabling brain-driven music experiences. It supports a range of compatible research headsets, including OpenBCI, Unicorn, Mentalab, and other BrainFlow-supported boards, giving users flexibility in their choice of acquisition hardware. The workflow is designed to be straightforward: the user selects a headset, confirms signal quality, and pairs the device with an active DedAI session, after which EEG data is relayed in real time. Primary use cases include integrating neurofeedback hardware with the DedAI platform for brain-driven music applications, whether for research, creative, or experimental purposes, and simplifying the connection between BrainFlow-compatible acquisition boards and the DedAI environment without requiring users to manage low-level data streaming themselves. By relying on a local WebSocket with a secure and scoped design, DedAI Bridge keeps the data channel confined to the local environment while maintaining a reliable connection between the headset and the platform. The application is currently available in version 0.1.0, which is the first and, to date, only release, with a total of one version published. This initial release introduces the core capabilities of headset selection, signal quality confirmation, session pairing, and continuous EEG streaming into DedAI. As an early-stage release, version 0.1.0 establishes the foundational bridge functionality upon which the DedAI brain-driven music platform depends for its neural input, making DedAI Bridge a required companion component for users who wish to feed live brain signal data from supported research headsets into their DedAI sessions.
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