SceneView

The AI-first 3D & AR SDK for Jetpack Compose, SwiftUI and the web.

Declarative 3D and AR for app developers who want a model on screen, or in the room, without a game engine: Filament + ARCore on Android, RealityKit + ARKit on Apple, Filament.js + WebXR in the browser — with Flutter, React Native and Compose Multiplatform bridges on top. Open source, Apache 2.0.

AI-first means one thing here: an assistant that reads llms.txt or the MCP server writes SceneView code that works on the first try. When it doesn't, the API or the doc gets fixed.

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Try it

<p> <a href="https://play.google.com/store/apps/details?id=io.github.sceneview.demo"><img src="website-static/assets/brand/stores/google-play-badge-trimmed.png" alt="Get it on Google Play" height="56"></a>&nbsp; <a href="https://apps.apple.com/us/app/sceneview-demo-sdk-samples/id6761329763"><img src="website-static/assets/brand/stores/app-store.svg" alt="Download on the App Store" height="56"></a>&nbsp; <a href="https://sceneview.github.io/playground.html"><img src="website-static/assets/brand/stores/web-playground.svg" alt="Open the Web Playground" height="56"></a> </p>

The demo apps are built from samples/. Any demo opens straight from a link: https://sceneview.github.io/open?demo=<id>. Start with Cosmos, the galaxy the catalogue opens on, or 3D Scan, a space scanned with ARCore and rebuilt in 3D.

Help test the demos

Install the Android demo, record your screen while you use a demo, and tell us what breaks or confuses you: open an issue with the recording attached, or send it from the app (any demo, Settings, then Send feedback). Your first report unlocks SceneView Labs, early access to the experimental demos, straight away.

Quick start

One minimal, working example per platform. The full reference for each is in llms.txt.

Android

// build.gradle.kts
implementation("io.github.sceneview:sceneview:4.62.0")

The app module needs compileSdk = 37, minSdk 24 or higher, AGP 9.4.0+, Kotlin 2.4 and JVM target 21 for both Java and Kotlin: SceneView ships Java 21 bytecode with public inline functions. The quickstart requirements give the Gradle snippet and the reason for each.

@Composable
fun ModelScreen() {
    SceneView(modifier = Modifier.fillMaxSize()) {          // orbit camera + default lighting
        rememberModelInstance(modelLoader, "models/helmet.glb")?.let { instance ->
            ModelNode(modelInstance = instance, scaleToUnits = 1.0f, autoAnimate = true)
        }
    }
}

models/helmet.glb lives in src/main/assets/. rememberModelInstance returns null until the model is loaded, then recomposes. Never call modelLoader.createModel* from a background coroutine: Filament calls must run on the main thread, and rememberModelInstance handles that.

AR (Android)

// build.gradle.kts
implementation("io.github.sceneview:arsceneview:4.62.0")   // includes the 3D module

@Composable
fun ARScreen() {
    var anchor by remember { mutableStateOf<Anchor?>(null) }

    ARSceneView(
        modifier = Modifier.fillMaxSize(),
        planeRenderer = true,
        onSessionUpdated = { _, frame ->
            if (anchor == null) {
                anchor = frame.getUpdatedPlanes()
                    .firstOrNull { it.type == Plane.Type.HORIZONTAL_UPWARD_FACING }
                    ?.let { it.createAnchorOrNull(it.centerPose) }
            }
        }
    ) {
        val helmet = rememberModelInstance(modelLoader, "models/helmet.glb")
        anchor?.let { a ->
            AnchorNode(anchor = a) {
                helmet?.let { ModelNode(modelInstance = it, scaleToUnits = 0.5f) }
            }
        }
    }
}

Plane detected → anchor set → Compose recomposes → the model appears. AR state is just Kotlin state. For placement without a tap, grounded and gesture-ready, start from AutoPlacementScene (see llms.txt).

arsceneview already declares the CAMERA permission and marks ARCore as optional. An AR Optional app declares android.hardware.camera.ar and android.hardware.camera as <uses-feature … android:required="false" />; an AR Required app overrides the ARCore value with tools:replace="android:value". Both snippets are in the AR manifest section.

iOS / macOS / visionOS (SwiftUI)

Swift Package Manager: https://github.com/sceneview/sceneview.git, from 4.60.0.

import SwiftUI
import SceneViewSwift

struct ModelScreen: View {
    @State private var model: ModelNode?

    var body: some View {
        SceneView { root in
            if let model { root.addChild(model.entity) }
        }
        .contentID(model != nil)      // re-run the builder once the model has loaded
        .environment(.studio)
        .cameraControls(.orbit)
        .task { model = try? await ModelNode.load("helmet.usdz") }
    }
}

The content closure runs once unless its .contentID(_:) changes: without that line, a model that finishes loading after the scene appears is never added.

Web

<canvas id="viewer" style="width: 100%; height: 480px"></canvas>
<script src="https://cdn.jsdelivr.net/gh/sceneview/[email protected]/website-static/js/filament/filament.js"></script>
<script src="https://cdn.jsdelivr.net/gh/sceneview/[email protected]/website-static/js/sceneview.js"></script>
<script> SceneView.modelViewer("viewer", "model.glb") </script>

Compose Multiplatform (Android · iOS · desktop)

// commonMain dependencies
implementation("io.github.sceneview:sceneview-compose:4.62.0")

SceneViewer(model = ModelSource.Asset("models/helmet.glb"), modifier = Modifier.fillMaxSize())

A viewer by design — load, orbit, light, tap; no AR. Scope and the one-time iOS setup: sceneview-compose/.

Flutter

// pubspec.yaml → flutter_sceneview: ^4.62.0
final controller = SceneViewController();

SceneView(
  controller: controller,
  onViewCreated: () => controller.loadModel(
    const ModelNode(modelPath: 'models/helmet.glb'),
  ),
)

React Native

// npm install @sceneview-sdk/react-native
import { SceneView } from '@sceneview-sdk/react-native';

<SceneView
  style={{ flex: 1 }}
  modelNodes={[{ src: 'models/helmet.glb', position: [0, 0, -2] }]}
  cameraControlMode="orbit"
/>

Flutter and React Native bridge a subset of the native API — see flutter/ and react-native/ for what is covered.

Your AI assistant

claude mcp add sceneview -- npx -y sceneview-mcp   # Claude Code
codex  mcp add sceneview -- npx -y sceneview-mcp   # Codex

Then ask: "Add a 3D model viewer to my Compose screen." Every other client is in Use with AI.

Runs on

Each row is a published package plus an app or page you can open today, backed by a real capture of it.

Shipped means released and publicly reachable; the second word is the API maturity. The other platforms in the table below join this section once a capture backs them.

Platforms

Install

Use with AI

Everything an assistant needs to write SceneView code ships with the SDK:

• [`llms.txt`](./llms.txt) — the complete API reference in one file: composables, every node

type, threading rules, recipes. Its Kotlin snippets are compiled in CI. Served at https://sceneview.github.io/llms.txt for tools without MCP support.

• Rules files — AGENTS.md (Codex, Cursor, GitHub Copilot, Gemini in Android Studio and

others), CLAUDE.md (Claude Code), .github/copilot-instructions.md, and .cursorrules for older Cursor versions.

• The [MCP server](./mcp/) — free, no API key. The tools assistants reach for most:

validate_code (checks a snippet for known pitfalls and unknown symbols before you run it; it does not check argument names), get_node_reference (the exact node signature, not an invented one), list_samples / get_sample (38 samples to start from), and get_setup / get_ar_setup (project wiring).

MCP setup

claude mcp add sceneview -- npx -y sceneview-mcp   # Claude Code
codex  mcp add sceneview -- npx -y sceneview-mcp   # Codex
copilot mcp add sceneview -- npx -y sceneview-mcp  # GitHub Copilot CLI

// Cursor (.cursor/mcp.json), Cline, JetBrains AI Assistant
{ "mcpServers": { "sceneview": { "command": "npx", "args": ["-y", "sceneview-mcp"] } } }
// VS Code (.vscode/mcp.json) uses the "servers" key instead
{ "servers": { "sceneview": { "type": "stdio", "command": "npx", "args": ["-y", "sceneview-mcp"] } } }

Clients that only speak HTTP (Gemini in Android Studio, ChatGPT) use the hosted endpoint https://mcp.sceneview.dev/mcp, or run their own with npx sceneview-mcp --http. Per-client snippets: sceneview.github.io/#ai-setup. Listed on the MCP Registry.

ChatGPT / Codex plugin

This repository is also an OpenAI plugin: .codex-plugin/plugin.json points at the three skills under agents/ (sceneview, sceneview-ios, sceneview-web). From a checkout:

codex plugin marketplace add "$PWD"    # absolute path — a relative one does not resolve
codex plugin add sceneview@sceneview-local

Codex also discovers the skills from .agents/skills/ on its own. Over HTTP the MCP server carries an inline view_3d_model widget that renders a public GLB/glTF URL in the conversation. Listing copy and test prompts: agents/OPENAI-PLUGIN.md.

Claude Code plugin

/plugin marketplace add sceneview/claude-marketplace, then /plugin install sceneview@sceneview, installs the same three skills as the Codex plugin together with the MCP server. The commands used to work on this repository are a separate plugin, sceneview-contrib@sceneview — see sceneview/claude-marketplace.

Vertical MCP servers (Rerun AR debugging and others) are listed in the MCP README.

Android in depth

3D scene

SceneView is a composable that renders a Filament viewport. Nodes are composables inside it.

val engine = rememberEngine()
val modelLoader = rememberModelLoader(engine)
val environmentLoader = rememberEnvironmentLoader(engine)

SceneView(
    modifier = Modifier.fillMaxSize(),
    engine = engine,
    modelLoader = modelLoader,
    environment = rememberEnvironment(environmentLoader) {
        environmentLoader.createHDREnvironment("envs/studio.hdr")
            ?: createEnvironment(environmentLoader)
    },
    cameraManipulator = rememberCameraManipulator()
) {
    // Model — async loaded, appears when ready
    rememberModelInstance(modelLoader, "models/helmet.glb")?.let {
        ModelNode(modelInstance = it, scaleToUnits = 1.0f, autoAnimate = true)
    }

    // Geometry — procedural shapes
    CubeNode(size = Size(0.2f))
    SphereNode(radius = 0.1f, position = Position(x = 0.5f))

    // Nesting — same as Column { Row { } }
    Node(position = Position(y = 1.0f)) {
        LightNode(type = LightManager.Type.POINT, apply = { intensity(50_000f) })
        CubeNode(size = Size(0.05f))
    }
}

Node composables — 27 in 3D, 15 more in AR

AR scene

ARSceneView is SceneView with ARCore: the camera follows real-world tracking. See the AR quick start above.

Capabilities

Model formats

There is no per-format API on Android: rememberModelInstance(modelLoader, path) accepts all of them. On Apple, RealityKit reads no glTF, so .gltf / .glb are deliberately not in ModelFormat; USD/Reality load through RealityKit and the mesh formats through MeshAsset. The format is decided by the file's bytes, not its extension, so a file shared into your app as application/octet-stream with no name still opens. The converters are dependency-free Kotlin in sceneview-core. Tracked next: one ModelFormat entry point and every format on the web. Details: Model formats.

Apple (iOS / macOS / visionOS)

Native Swift Package built on RealityKit, with a node set mirroring the Android API. Content you can build synchronously uses the @NodeBuilder form:

SceneView {
    GeometryNode.cube(size: 0.1, color: .blue)
        .position(.init(x: 0.5, y: 0, z: 0))
    LightNode.directional(intensity: 1000)
}
.environment(.studio)
.cameraControls(.orbit)

AR on iOS — tap a detected plane to place content:

ARSceneView(
    planeDetection: .horizontal,
    onTapOnPlane: { position, arView in
        let anchor = AnchorNode.world(position: position)
        anchor.add(GeometryNode.cube(size: 0.1, color: .blue).entity)
        arView.scene.addAnchor(anchor.entity)
    }
)

Nodes — ModelNode · GeometryNode (cube/sphere/cylinder/cone/torus/capsule/plane) · LightNode · ImageNode · VideoNode · TextNode · ViewNode · BillboardNode · MeshNode · LineNode · PathNode · ShapeNode · PhysicsNode · ReflectionProbeNode · DynamicSkyNode · FogNode · CameraNode · AnchorNode · AugmentedImageNode · SceneReconstructionNode (visionOS scene mesh). Plus an iOS RerunBridge with the same wire format as Android.

Full guide: SceneViewSwift/README.md.

SceneView Web

Two <script> tags and one call (see Web above). The wrapper is ~24 KB gzipped; the engine it drives is Filament — the same renderer as Android SceneView — compiled to WebAssembly (~2.3 MB gzipped).

JavaScript API (script tag):

• SceneView.modelViewer(canvasOrId, url, options?) — all-in-one viewer with orbit + auto-rotate
• SceneView.create(canvasOrId, options?) — empty viewer, load a model later
• viewer.loadModel(url) — load or replace a glTF/GLB model
• viewer.setAutoRotate(enabled) — toggle rotation
• viewer.dispose() — release resources

Kotlin/JS (`sceneview-web`, npm only) — the power-user API: OrbitCameraController, the geometry DSL, reactive node updates, and WebXR through ARSceneView (immersive-ar, hit-test, anchors, light estimation), VRSceneView (immersive-vr, controllers) and the low-level WebXRSession. The module builds a webpack bundle, so it has no Maven coordinate:

npm install sceneview-web

The package expects a Filament global and does not include the SceneView.modelViewer script helpers. A Kotlin Multiplatform project that only needs the shared core (collision, math, geometry, animation, physics — no renderer) uses implementation("io.github.sceneview:sceneview-core-js:4.62.0").

Landing page · Playground · npm

The Compose-native successor to Sceneform

Google archived Sceneform in 2021 and ships no first-party declarative AR renderer. SceneView descends from the maintained Sceneform community fork: ARCore for perception, Filament for rendering, Jetpack Compose for the API, and glTF (.glb / .gltf) instead of the deprecated .sfb format.

Coming from Sceneform? The migration guide maps it concept by concept (ArFragment → ARSceneView { }, ModelRenderable → rememberModelInstance, and so on).

AR debugging

• Record & Replay — capture an ARCore session once with rememberARRecorder(), replay it 1:1

at your desk with ARSceneView(playbackDataset = file). See docs/docs/ar-recording.md and the Record & Playback demo.

• Hosted Rerun viewer — export a scan's Rerun recording from the 3D Scan demo, host the .rrd file at

an https address that ends in .rrd, and open https://sceneview.github.io/rerun/?url=<encoded-url> to scrub the session frame by frame in a browser, with no local install. The host has to allow cross-origin requests (CORS): a public GitHub repository's raw.githubusercontent.com link and GitHub Pages do, a GitHub release asset does not (checked 2026-10-13); an R2 or S3 bucket does with a CORS rule that allows https://sceneview.github.io. Architecture and the Kotlin API (RerunBridge.requestSaveAndShare) are in the AR Debug — Rerun.io section of llms.txt.

Architecture

Each platform uses its native renderer. Shared logic lives in Kotlin Multiplatform.

sceneview-core (Kotlin Multiplatform)
├── math, collision, geometry, physics, animation, model-format converters
│
├── sceneview (Android)          → Filament + Jetpack Compose
├── arsceneview (Android)        → ARCore
├── sceneview-compose (KMP)      → one SceneViewer for Android, iOS and desktop
├── SceneViewSwift (Apple)       → RealityKit + SwiftUI
├── sceneview-web (Web)          → Filament.js + WebXR
└── flutter/ · react-native/     → bridges to the native views

Samples

Built with SceneView

• [3D AR Model Viewer](https://play.google.com/store/apps/details?id=com.gorisse.thomas.arcamera) —

open a 3D file from any app or link (GLB, glTF, STL, OBJ, PLY, 3MF) and see it in your room at real size.

• [Will It Fit](https://play.google.com/store/apps/details?id=com.gorisse.thomas.willitfit) —

enter a piece of furniture's dimensions and see whether it fits before you buy.

Links

• Website · Playground · Documentation
• Discord · Contributing · Changelog · Migration v2 → v3

Sponsors

SceneView is free and open source, funded by its users.

[Sponsor on Open Collective](https://opencollective.com/sceneview) · or through GitHub Sponsors

<a href="https://opencollective.com/sceneview"><img src="https://opencollective.com/sceneview/organizations.svg?avatarHeight=56&width=830" alt="Logos of the companies sponsoring SceneView on Open Collective"></a>

<a href="https://opencollective.com/sceneview"><img src="https://opencollective.com/sceneview/individuals.svg?avatarHeight=40&width=830&button=false" alt="Avatars of the people backing SceneView on Open Collective"></a>

How sponsorship works