我相信：面向物理世界的全能 Agent 范式，黎明已在地平线显现。

I believe the dawn of universal agents for the physical world is already on the horizon.

I’m here to build tiny, working pieces of that future.

• Multimodal agents that can reason, call tools, and actually finish tasks
• Deep Learning + CV in the real world (detection / segmentation / tracking / action)
• Speech interaction loops (ASR / TTS / lip-sync) that feel low-latency and natural
• Edge deployment that survives messy constraints (Jetson / RK3588, ONNX, TensorRT)

LLM · VLM · Deep Learning · Computer Vision · ASR/TTS · MCP · ONNX/TensorRT

• mcp-minicpmv-video - video understanding MCP server.
• mcp-funasr-stdio - speech transcription MCP server.
• sherpa_onnx_ortv2 - Flutter + ONNX Runtime v2 compatibility work.
• Deep-Learning-Toolbox - DL experiments and utilities.

• SaySee: a multimodal speaking-coach app with low-latency voice interaction.
• Digital Human Productization: turning demos into deployable product + ops pipelines.

North star: turning frontier models into dependable agents that can operate in the physical world.