Workflows
70+ one-tap AI tasks. Run offline. Trigger via Siri, widgets, share sheet, or a URL.
Avyra for iPhone and iPad
70+ on-device AI workflows for iPhone and iPad. No accounts, no servers, no analytics.
What's inside
Four building blocks. One universal app. Same on iPhone and iPad.
70+ one-tap AI tasks. Run offline. Trigger via Siri, widgets, share sheet, or a URL.
Author Anthropic-style skill bundles. Attach them per-thread in chat or per-step in a workflow.
Sandboxed JavaScript plugins. 13 ship by default. Author your own in the in-app Runestone editor.
Apple Intelligence by default. MLX-backed models on demand. Optional OpenAI, Anthropic, or Gemini with your own keys.
Open source
Avyra is built on Aria, a composable on-device agent runtime for Apple platforms. The same SDK that powers Avyra's workflows, skills, and JS plugin runtime is free for any developer to build with.
No JavaScriptCore bridge for the core.
Runs on FoundationModels, MLX, OpenAI, Anthropic, Gemini — the same `LLMProvider` protocol.
Workflow runtime, capability broker, skill bundles, JS plugin runtime — all reusable from your own app.
Workflow gallery
A sample of what ships with the app.
Daily Essentials
Reads your calendar and reminders, writes the brief, hands you the day in a glance.
Productivity
Bullet points in, polished message out. Pick a tone, set the audience, send.
Developer
Paste a diff, get review notes. Convention-aware. Runs on-device when you want it to.
Privacy
Avyra ships with no accounts, no telemetry, and no server-side state. Every line of source for the runtime is published.
Zero third-party SDKs. Zero outbound telemetry. Open the network inspector on a fresh install — nothing leaves the device unless you wire a step that needs to.
Provider tokens (OpenAI, Anthropic, Gemini, MCP) are written to the iOS Keychain. Optionally biometric-gated. Never proxied through us.
The agent runtime, workflow engine, and skill system are all part of the open-source Aria SDK. Audit it. Fork it. Replace it.
Workflow LLM steps use Apple's on-device Foundation Models by default. The model never sees your prompt over the wire.
FAQ
Full answers, including the data and HealthKit specifics, live on the FAQ page.
An on-device AI assistant for iPhone and iPad. It runs language models, voice recognition, and text-to-speech locally. Chat by text, speak via voice mode, attach images, extend with tools and plugins, and build multi-step workflows you can trigger from Shortcuts, Siri, or a URL.
By default, no. The only outbound traffic is what you trigger yourself — downloading a model, enabling the HTTP tool, installing a plugin that makes web requests, configuring a server LLM provider, or wiring an MCP step.
Apple Foundation Models (the on-device default), MLX models you can download in-app (Qwen, Llama 3.2, Gemma), and server providers — OpenAI, Anthropic, and Gemini — with your own API key.