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  • Running on real Radxa hardware with NPU inference. Debos OS image, RKNN/RKLLM backend, gRPC TCP for network access.

    No due date
    0/5 issues closed
  • Real LLM inference on CPU, Ollama-compatible API, MCP server. A developer can curl the paiBox and get an LLM response.

    No due date
    0/7 issues closed
  • Wire all crates end-to-end, config, basic flows. The vertical slice that proves the architecture works: pai-engine starts, loads config, creates a session, and runs a trivial hardcoded flow.

    No due date
    3/6 issues closed
  • AEC, diarization, TTS, MCP client, meeting summaries. Full meeting transcription with speaker labels, AI summaries, secure export.

    No due date
  • STT, audio pipeline, buttons/LEDs, USB HID, paiScribe v0.1. Adds audio and peripherals modules to the engine.

    No due date