Most AI SDKs are a wrapper around one engine on one platform. We built the opposite. 7 SDKs. Swift, Kotlin, Flutter, React Native, Web, Elec…

Most AI SDKs are a wrapper around one engine on one platform. We built the opposite. 7 SDKs. Swift, Kotlin, Flutter, React Native, Web, Electron, rcli. Python. All of them are thin skins over one C++ core. 33 protobuf contracts. One capability registry. Under that core: 6 engines. Our own NPU runtime on Snapdragon Hexagon. MLX on Apple silicon. llama.cpp everywhere, including compiled to WASM in a browser tab. sherpa and ONNX for speech. Core ML for diffusion. You write one line: await RunAnywhere.generate(prompt) On a Galaxy S25 it lands on the Hexagon NPU. On an iPhone it lands on Apple silicon. In a browser tab it lands on llama.cpp over WebGPU. Same call. The registry picks the silicon. And when your app ships, a console watches the whole fleet. Every device, every model, every request. Deploy a model from the console and devices pick it up on their next sync. Write it once. It runs anywhere. Check out @RunAnywhereAI SDK's Media

Source: Yohei Nakajima (X) | 2026-07-22