On-device AI for every platform.
Run LLMs, speech-to-text, and text-to-speech locally — private, offline, fast.

Text Generation LLM inference — 100% on-device		Voice AI STT → LLM → TTS pipeline — fully offline
Image Generation On-device diffusion model		Visual Language Model Vision + language understanding on-device

RunAnywhere lets you add AI features to your app that run entirely on-device:

• LLM Chat — Llama, Mistral, Qwen, SmolLM, and more
• Speech-to-Text — Whisper-powered transcription
• Text-to-Speech — Neural voice synthesis
• Voice Assistant — Full STT → LLM → TTS pipeline

No cloud. No latency. No data leaves the device.

import RunAnywhere
import LlamaCPPRuntime

// 1. Initialize
LlamaCPP.register()
try RunAnywhere.initialize()

// 2. Load a model
try await RunAnywhere.downloadModel("smollm2-360m")
try await RunAnywhere.loadModel("smollm2-360m")

// 3. Generate
let response = try await RunAnywhere.chat("What is the capital of France?")
print(response) // "Paris is the capital of France."

Install via Swift Package Manager:

https://github.com/RunanywhereAI/runanywhere-sdks

Full documentation → · Source code

import com.runanywhere.sdk.public.RunAnywhere
import com.runanywhere.sdk.public.extensions.*

// 1. Initialize
LlamaCPP.register()
RunAnywhere.initialize(environment = SDKEnvironment.DEVELOPMENT)

// 2. Load a model
RunAnywhere.downloadModel("smollm2-360m").collect { println("${it.progress * 100}%") }
RunAnywhere.loadLLMModel("smollm2-360m")

// 3. Generate
val response = RunAnywhere.chat("What is the capital of France?")
println(response) // "Paris is the capital of France."

Install via Gradle:

dependencies {
    implementation("com.runanywhere.sdk:runanywhere-kotlin:0.1.4")
    implementation("com.runanywhere.sdk:runanywhere-core-llamacpp:0.1.4")
}

Full documentation → · Source code

import { RunAnywhere, SDKEnvironment } from '@runanywhere/core';
import { LlamaCPP } from '@runanywhere/llamacpp';

// 1. Initialize
await RunAnywhere.initialize({ environment: SDKEnvironment.Development });
LlamaCPP.register();

// 2. Load a model
await RunAnywhere.downloadModel('smollm2-360m');
await RunAnywhere.loadModel(modelPath);

// 3. Generate
const response = await RunAnywhere.chat('What is the capital of France?');
console.log(response); // "Paris is the capital of France."

Install via npm:

npm install @runanywhere/core @runanywhere/llamacpp

Full documentation → · Source code

import 'package:runanywhere/runanywhere.dart';
import 'package:runanywhere_llamacpp/runanywhere_llamacpp.dart';

// 1. Initialize
await RunAnywhere.initialize();
await LlamaCpp.register();

// 2. Load a model
await RunAnywhere.downloadModel('smollm2-360m');
await RunAnywhere.loadModel('smollm2-360m');

// 3. Generate
final response = await RunAnywhere.chat('What is the capital of France?');
print(response); // "Paris is the capital of France."

Install via pub.dev:

dependencies:
  runanywhere: ^0.15.11
  runanywhere_llamacpp: ^0.15.11

Full documentation → · Source code

import { RunAnywhere, TextGeneration } from '@runanywhere/web';

// 1. Initialize
await RunAnywhere.initialize({ environment: 'development' });

// 2. Load a model
await TextGeneration.loadModel('/models/qwen2.5-0.5b-instruct-q4_0.gguf', 'qwen2.5-0.5b');

// 3. Generate
const result = await TextGeneration.generate('What is the capital of France?');
console.log(result.text); // "Paris is the capital of France."

Install via npm:

npm install @runanywhere/web

Full documentation → · Source code

Full-featured demo applications demonstrating SDK capabilities:

Minimal starter projects to get up and running with RunAnywhere on each platform:

Real-world projects built with RunAnywhere that push the boundaries of on-device AI. Each one ships as a standalone app you can build and run.

A fully on-device autonomous Android agent that controls your phone. Give it a goal like "Open YouTube and search for lofi music" and it reads the screen via the Accessibility API, reasons about the next action with an on-device LLM (Qwen3-4B), and executes taps, swipes, and text input -- all without any cloud calls. Includes a Samsung foreground boost that delivers a 15x inference speedup, smart pre-launch via Android intents, and loop detection with automatic recovery. Benchmarked across four LLM models on a Galaxy S24. Full benchmarks

A Chrome extension that automates browser tasks entirely on-device using WebLLM and WebGPU. Uses a two-agent architecture -- a Planner that breaks down goals into steps and a Navigator that interacts with page elements -- with both DOM-based and vision-based page understanding. Includes site-specific workflows for Amazon, YouTube, and more. All AI inference runs locally on your GPU after the initial model download.

A full-featured iOS app demonstrating the RunAnywhere SDK's core AI capabilities in a clean SwiftUI interface. Includes LLM chat with on-device language models, Whisper-powered speech-to-text, neural text-to-speech, and a complete voice pipeline that chains STT, LLM, and TTS together with voice activity detection. A good starting point for building privacy-first AI features on iOS.

A complete on-device voice AI pipeline for Linux (Raspberry Pi 5, x86_64, ARM64). Say "Hey Jarvis" to activate, speak naturally, and get responses -- all running locally with zero cloud dependency. Chains Wake Word detection (openWakeWord), Voice Activity Detection (Silero VAD), Speech-to-Text (Whisper Tiny EN), LLM reasoning (Qwen2.5 0.5B Q4), and Text-to-Speech (Piper neural TTS) in a single C++ binary.

A hybrid voice assistant that keeps latency-sensitive components on-device (wake word, VAD, STT, TTS) while routing reasoning to a cloud LLM via OpenClaw WebSocket. Supports barge-in (interrupt TTS by saying the wake word), waiting chimes for cloud response feedback, and noise-robust VAD with burst filtering. Built for scenarios where on-device LLMs are too slow but you still want private audio processing.

runanywhere-sdks/
├── sdk/
│   ├── runanywhere-swift/          # iOS/macOS SDK
│   ├── runanywhere-kotlin/         # Android SDK
│   ├── runanywhere-web/            # Web SDK (WebAssembly)
│   ├── runanywhere-react-native/   # React Native SDK
│   ├── runanywhere-flutter/        # Flutter SDK
│   └── runanywhere-commons/        # Shared C++ core
│
├── examples/
│   ├── ios/RunAnywhereAI/          # iOS sample app
│   ├── android/RunAnywhereAI/      # Android sample app
│   ├── web/RunAnywhereAI/          # Web sample app
│   ├── react-native/RunAnywhereAI/ # React Native sample app
│   └── flutter/RunAnywhereAI/      # Flutter sample app
│
├── Playground/
│   ├── swift-starter-app/          # iOS AI playground app
│   ├── on-device-browser-agent/    # Chrome browser automation agent
│   ├── android-use-agent/          # On-device autonomous Android agent
│   ├── linux-voice-assistant/      # Linux on-device voice assistant
│   └── openclaw-hybrid-assistant/  # Hybrid voice assistant (on-device + cloud)
│
└── docs/                           # Documentation

Memory: 2GB minimum, 4GB+ recommended for larger models

We welcome contributions. See our Contributing Guide for details.

# Clone the repo
git clone https://github.com/RunanywhereAI/runanywhere-sdks.git

# Set up a specific SDK (example: Swift)
cd runanywhere-sdks/sdk/runanywhere-swift
./scripts/build-swift.sh --setup

# Run the sample app
cd ../../examples/ios/RunAnywhereAI
open RunAnywhereAI.xcodeproj

• Discord: Join our community
• GitHub Issues: Report bugs or request features
• Email: founders@runanywhere.ai
• Twitter: @RunanywhereAI

Apache 2.0 — see LICENSE for details.