The project's README from github.com/nobodywho-ooo/nobodywho. As one markdown file: README.md.
On-device AI for any device.
NobodyWho is an inference engine that lets you run LLMs locally and efficiently.
flowchart TD
FL["Flutter"]:::lang
PY["Python"]:::lang
GO["Godot"]:::lang
K["Kotlin"]:::lang
S["Swift"]:::lang
RN["React Native"]:::lang
FRB["flutter_rust_bridge"]:::glue
P3["PyO3"]:::glue
GX["gdext"]:::glue
U["UniFFI"]:::glue
FL --> FRB
PY --> P3
GO --> GX
K --> U
S --> U
RN --> U
CORE["NobodyWho · Rust<br/>chat · templates · grammars · sampling · context shifting"]:::core
FRB --> CORE
P3 --> CORE
GX --> CORE
U --> CORE
CORE --> LCPP["llama.cpp<br/>text · vision · embeddings · reranking"]:::engine
CORE --> ORT["ONNX Runtime<br/>speech-to-text · text-to-speech · VAD"]:::engine
LCPP --> HW["Hardware<br/>Vulkan · Metal · CUDA · GPU · CPU"]:::hw
ORT --> HW
classDef lang fill:#e8eefc,stroke:#5b7bd5,color:#11204a
classDef glue fill:#f3f0fb,stroke:#8b7bd5,color:#2a1f4a
classDef core fill:#eaf6ee,stroke:#4fa46a,color:#0f3b1f
classDef engine fill:#fdf0e3,stroke:#d58f3b,color:#4a2d0b
classDef hw fill:#f0eeea,stroke:#a09a90,color:#3a352e
You can test our inference engine on iOS, Android, Vision Pro and Apple Watch.
| Binding | Install | Runs on | Documentation |
|---|---|---|---|
| Kotlin | Maven Central | Desktop, Android | docs.nobodywho.ooo/kotlin |
| Swift | SPM | macOS, iOS, visionOS, watchOS | docs.nobodywho.ooo/swift |
| React Native / Expo | npm | Desktop, Android, iOS | docs.nobodywho.ooo/react-native |
| Flutter | pub.dev | Desktop, Android, iOS | docs.nobodywho.ooo/flutter |
| Python | PyPI | Desktop | docs.nobodywho.ooo/python |
| Godot | AssetLib | Desktop, Android | docs.nobodywho.ooo/godot |
Desktop means Linux, macOS and Windows throughout. Three gaps worth knowing before you start:
⭐ Useful to you? Star the repo, it's the easiest way to say thanks.
Inference uses the GPU where available and CPU where not. The real constraint is memory.
Any model in the GGUF format works. Pass a hf:owner/repo:QUANT reference, an HTTPS URL, or a local path anywhere a model path is expected; remote models are downloaded and cached on first use. Pass "auto" to fit one to available memory.
Start with Qwen3 0.6B: at ~330 MB it is small enough for any phone and good enough to tell whether the integration works.
pip install nobodywho
from nobodywho import Chat
chat = Chat('hf:NobodyWho/Qwen_Qwen3-0.6B-GGUF:Q4_K_M')
response = chat.ask('What is the capital of Denmark?')
print(response.completed()) # The capital of Denmark is Copenhagen.
// Android
implementation("ai.nobodywho:nobodywho-android:<version>")
// Desktop JVM (Linux, macOS, Windows)
implementation("ai.nobodywho:nobodywho:<version>")
Use the version from the Maven Central badge above.
import ai.nobodywho.Chat
val chat = Chat.fromPath(
modelPath = "hf:NobodyWho/Qwen_Qwen3-0.6B-GGUF:Q4_K_M"
)
val response = chat.ask("What is the capital of Denmark?").completed()
println(response) // The capital of Denmark is Copenhagen.
Add via Swift Package Manager:
https://github.com/nobodywho-ooo/nobodywho-swift.git
import NobodyWho
let chat = try await Chat.fromPath(
modelPath: "hf:NobodyWho/Qwen_Qwen3-0.6B-GGUF:Q4_K_M"
)
let response = try await chat.ask("What is the capital of Denmark?").completed()
print(response) // The capital of Denmark is Copenhagen.
# React Native
npm install react-native-nobodywho
# Expo
npx expo install react-native-nobodywho
import { Chat } from "react-native-nobodywho";
const chat = await Chat.fromPath({
modelPath: "hf:NobodyWho/Qwen_Qwen3-0.6B-GGUF:Q4_K_M",
});
const msg = await chat.ask("What is the capital of Denmark?").completed();
console.log(msg); // The capital of Denmark is Copenhagen.
RN / Expo documentation · NPM · RN starter app · Expo starter app
flutter pub add nobodywho
import 'package:nobodywho/nobodywho.dart' as nobodywho;
void main() async {
await nobodywho.NobodyWho.init();
final chat = await nobodywho.Chat.fromPath(
modelPath: 'hf:NobodyWho/Qwen_Qwen3-0.6B-GGUF:Q4_K_M',
);
final msg = await chat.ask('What is the capital of Denmark?').completed();
print(msg); // The capital of Denmark is Copenhagen.
}
Install NobodyWho from inside the editor:
You can also grab a specific version from the releases page and import the zip the same way.
NobodyWho provides an experimental local server that implements the OpenAI Chat Completions API.
Start the server :
uvx --from 'git+https://github.com/nobodywho-ooo/nobodywho.git#subdirectory=nobodywho/server' nobodywho-server --model hf:NobodyWho/Qwen_Qwen3-0.6B-GGUF:Q4_K_M --name qwen
It listens on http://127.0.0.1:8888 and serves /v1/models and /v1/chat/completions.
See the docs for more info.
The documentation has everything you might want to know: https://docs.nobodywho.ooo/
Working with a coding agent? Point it at llms.txt or llms-full.txt, or install the NobodyWho skill so your agent can look up the current APIs and documentation:
npx skills add https://github.com/nobodywho-ooo/nobodywho --skill nobodywho
⭐ Star the repo if NobodyWho is useful to you. It is how people find us.
NobodyWho is licensed under the EUPL-1.2. You may use it in proprietary and commercial projects, free of charge. There has been some confusion about this, so to be precise:
Linking two programs or linking an existing software with your own work does not – at least under European law – produce a derivative or extend the coverage of the linked software licence to your own work. [1]
If you distribute modified versions of the code in this repo, you must open source those changes.
Feel free to make proprietary projects using NobodyWho, but don't make a proprietary fork of NobodyWho.