13 entries
Keyword: iosRepository:Lakr233/vphone-cli
vphone-cli creates and runs virtualized iOS instances on Apple Silicon Macs running macOS 15 or newer. The tool leverages Apple's Virtualization.framework and the PCC research VM infrastructure.
14.7kstarsSwift
From Video: Trending GitHub Projects: OpenBao, Magnitude, herdr, and Other Open-Source Tools
Link:kittylitter.app
Litter is a free, open-source mobile client designed to interface with AI agents including Claude, Codex, OpenCode, Pi, and Droid. It connects via local network auto-discovery, SSH, or a direct peer-to-peer protocol without requiring port forwarding.
From X post: Litter: Open-source mobile client for local AI agents
Link:Perl Productions LLC
Developed by Perl Productions LLC, the iOS app Stella generates personalised audio stories and affirmations intended to help users visualise goals such as career milestones, relationships, and financial abundance.
From Video: Weekly AI Updates: Model Releases, Agent Harnesses, and Developer Tooling (August 2026)
Link:mobilenext.ai
Mobile Next provides an infrastructure that allows AI agents to control real iOS and Android devices, simulators, and emulators via API and the Model Context Protocol (MCP). The stack comprises an MCP server, a CLI utility, the Playwright-inspired Mobilewright testing framework, and an on-demand cloud device farm.
From Video: Lev Selector's Weekly AI Updates (7 August 2026)
Link:shop.fieldy.ai
Fieldy is a 17-gram wearable device designed to record, transcribe in real time, and summarise conversations using AI. It connects to iOS and Android smartphones via Bluetooth and syncs captured notes with desktop apps for Windows and macOS.
From Video: Lev Selector's Weekly AI Updates (7 August 2026)
Repository:mobile-next/mobile-mcp
Mobile Next is an open-source Model Context Protocol (MCP) server that connects AI agents and LLMs to iOS and Android environments. It abstracts platform-specific quirks across simulators, emulators, and real physical devices.
6.3kstarsTypeScript
From Video: Trending GitHub Projects: OpenBao, Magnitude, herdr, and Other Open-Source Tools
Link:mobile-harness.com
Mobile Harness is an open-source framework powered by mobilerun-core that gives AI agents a unified API and consistent control path across local and cloud-based mobile devices.
From X post: Mobile Harness: Open-Source iOS and Android Control for AI Agents
Repository:mobile-next/mobilecli
mobilecli by Mobile Next is a Go-based command-line utility offering a unified interface to control real iOS and Android devices, simulators, emulators, and mobile apps.
267starsGo
From Video: Lev Selector's Weekly AI Updates (7 August 2026)
Repository:ShawnPana/phone-harness
Phone Harness is an open-source tool that allows AI agents such as Claude Code or Codex to control physical smartphones. It bypasses jailbreaks, Xcode, and WebDriverAgent by relying on macOS Sequoia iPhone Mirroring for iOS and ADB for Android.
2.3kstarsPython
From Video: Five Open-Source GitHub Repos for the Agentic Era
Repository:droidrun/mobile-harness
Mobile Harness provides portable operating instructions and interfaces enabling AI agents to control Android and iOS devices locally or in the cloud. Rather than acting as a standalone agent runtime, it functions as a compact Markdown harness powered by the mobilerun_core Python library.
340stars
From X post: Mobile Harness: Open-Source iOS and Android Control for AI Agents
Repository:chrissotraidis/harkinianpad
HarkinianPad packages the 'Ship of Harkinian' PC source port of Zelda: Ocarina of Time as a native app for iPhone and iPad. It features native Metal rendering, customizable touch controls, physical controller support, and reproducible builds without bundled ROM data.
371starsShell
From Video: Trending GitHub Open-Source Projects: Developer Tools, AI Agents, and Self-Hosting
X post:Niels Schmidt
Niels Schmidt has introduced Mobile Harness, an open-source harness enabling coding agents such as Codex or Claude Code to drive real iOS and Android devices locally and in the cloud through a unified API.
1.3kbookmarks124.6kviews
VideoVideo:Ray Fernando
Ray Fernando shares an AI prompting strategy designed to improve mobile app interfaces. Because AI models have never physically held a phone, they default to unergonomic screen layouts. Instead of asking models to design freely, the prompt sets strict physical realities such as one-handed thumb reach and short interaction times.
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