kellyvv/PhoneClaw

Health v2 · maintenance only

Flags: young

Adoption not part of the score

1220 stars · 166 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PhoneClaw is a mobile-native local AI agent framework that turns phones into on-device agent runtimes, running Gemma models via LiteRT and MiniCPM-V on iOS. It provides native mobile Skills (Calendar, Reminders, Contacts, HealthKit, clipboard, image understanding, voice), a LiveLand Dynamic Island interaction mode, and optional LAN-based Mac Gateway inference with Ollama.

Use cases

• run AI agents fully offline on my iPhone
• ask my phone about health data with a local model
• create reminders and calendar events via natural language on device
• build phone-first local AI agent workflows
• use on-device Gemma models with native iOS skills
• offload agent inference to a Mac over LAN
• interact with a local AI agent from the Dynamic Island

When to choose

• you want a privacy-focused, fully offline AI agent on iOS
• you need native access to phone capabilities like HealthKit, Calendar, and Contacts from an agent
• you want on-device small model inference (Gemma via LiteRT) on mobile hardware
• you want optional LAN edge inference without cloud dependency

When to avoid

• you need an Android agent runtime (this iOS runtime is unrelated to same-named Android projects)
• you need large frontier-model quality that phones cannot run locally
• you need a cross-platform or server-side agent framework
• you need cloud-hosted LLM APIs with broad tool ecosystems

Facets

framework · maturity active

agent-framework llm-inference machine-learning speech-recognition image-processing artificial-intelligence large-language-models mobile-development apple-ecosystem privacy on-device-ai local-first litert gemma ollama livel-land edge-inference native-skills healthkit ai-agents ios swift mobile macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kellyvv/PhoneClaw")