runanywhere-sdks: what it is, what problem it solves & why it's gaining traction

What it solves

RunAnywhere provides a set of SDKs that allow developers to integrate AI capabilities—such as Large Language Models (LLMs), speech-to-text, and text-to-speech—directly into mobile and web applications. This eliminates the need for cloud-based AI services, ensuring that data remains private, works offline, and operates without network latency.

How it works

The project provides cross-platform SDKs (Swift, Kotlin, React Native, Flutter, and Web) built on a shared C++ core. It leverages optimized runtimes like llama.cpp for LLM inference and ONNX for speech models (Whisper and Piper). Developers can initialize the SDK, download specific models (e.g., SmolLM2, Qwen, Llama 3.2), and execute tasks such as text generation, transcription, or voice synthesis entirely on the user's device.

Who it’s for

App developers building for iOS, Android, Web, React Native, or Flutter who want to implement privacy-first, offline AI features without managing the complex underlying inference engines.

Highlights

• Multi-Platform Support: Stable SDKs for iOS/macOS and Android, with Beta support for Web, React Native, and Flutter.
• Comprehensive AI Pipeline: Supports a full voice assistant pipeline (STT $\rightarrow$ LLM $\rightarrow$ TTS).
• Diverse Model Support: Compatible with GGUF format LLMs, Whisper for speech-to-text, and Piper for neural text-to-speech.
• Advanced Capabilities: Includes support for structured JSON output, tool calling, and Vision Language Models (VLM) on iOS and Web.
• On-Device Agents: Includes playground examples of autonomous agents that can control Android devices or automate browser tasks locally.