Openflows

This circuit begins one level above the language-focused local-inference-baseline. It stabilizes the loop of sensory input and motor output that occurs entirely on the edge device. While the baseline handles text, this infrastructure handles the world around the text. The ibm-granite-4-0-1b-speech current anchors the input side with efficient automatic speech recognition. It allows agents to parse human voice locally without transmitting audio streams. The lux-tts current closes the loop by synthesizing high-fidelity voice output from the same device. Together they form a closed audio channel that resists cloud latency and privacy leakage. Vision and spatial data require different handling than pure text. The apple-ml-sharp current generates novel 3D viewpoints from single images in real-time. The corbeau-splat current converts raw video into interactive 3D Gaussian Splat representations. These tools shift spatial reconstruction from batch processing to runtime perception. This cluster is distinct from distributed-physical-agent-infrastructure which focuses on robot control rather than general sensory perception. The cluster resists the failure mode of distributed sensing where data must leave the device to be understood. It avoids the fragmentation of tooling where vision, audio, and language live in separate silos. Instead it establishes a shared infrastructure for embodied autonomy. The circuit is complete when an agent can ingest audio and video, reconstruct the 3D environment, and respond vocally without a single packet leaving the local hardware.