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webAI isn’t just an application — it’s a platform. You can build your own tools, utilities, and collaborative experiences that run as first-class apps inside the webAI shell. Your apps get access to the same APIs that power the built-in apps: local AI inference, peer-to-peer collaboration, user identity, end-to-end encryption, and navigation. No server required. No API keys. Everything runs on-device.

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What you can build

AI-powered tools

Build apps that run AI inference locally — summarizers, writing assistants, code generators, analyzers — all private, all offline-capable.

Collaborative apps

Create real-time multiplayer experiences. The platform handles networking, state sync, and conflict resolution via .

Standalone utilities

Dashboards, calculators, games, note-taking tools — anything that runs as a web page can run as a webAI app.

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How it works

Apps are single HTML files that run inside a sandboxed iframe within the webAI shell. The shell injects a frozen bridge object — window.apogeeSDK — into your app’s environment, exposing platform capabilities as domain-specific facades.
webAI Shell (Apogee)
Your App (iframe)
window.apogeeSDK
sdk.intelligence → AIsdk.shell → Navigationsdk.messaging / sdk.room → P2Psdk.identity → Identitysdk.crypto → End-to-end encryption

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Platform APIs at a glance

CapabilityPurposeFacades
IntelligenceOn-device and cloud AI inferencesdk.intelligence
Collaboration APIsPeer-to-peer spaces, chat, shared state, file sharingsdk.room, sdk.messaging, sdk.canvas, sdk.files
Identity & EncryptionDevice identity () and end-to-end encryptionsdk.identity, sdk.crypto
NavigationShell navigation, recents, projects, title bar slotssdk.shell
webAI SDKBridge object overview and shell manifest declarationwindow.apogeeSDK

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Start building

1

Understand the app model

Learn how apps run inside the webAI shell, what constraints apply, and how to structure your project.App architecture →
2

Access platform APIs

Learn the universal pattern for safely accessing shell-injected globals from your app code.Accessing shell APIs →
3

Add AI to your app

Use the intelligence facade to stream completions, manage backends, and inspect runtime state.Intelligence reference →
4

Build, bundle, and deploy

Package your app as a single HTML file and upload it to the webAI launcher.App lifecycle →
You don’t need to use every API. Most apps start as standalone tools using just the AI runtime. Add collaboration, identity, or encryption as your app grows.