Pinky

Poki is an open-source tool that lets AI agents operate a real iPhone through a local MCP server and agent, without jailbreaking or additional hardware. It connects an iPhone to a Mac, exposes device-control tools to MCP clients such as Claude Code and Codex, and sends screen contents to the configured model service. Poki can also run a standalone terminal agent and authorized iMessage or Telegram channels. It requires macOS 15 or later, full Xcode, Node.js 24 or later, and a physical iPhone paired with the Mac over USB; the project documents limits including portrait-only support for verified physical devices. It is licensed under AGPL-3.0-only.

Pi Pocket is a self-hosted, mobile-first web application for running and supervising Pi coding agents on a user's own machine or phone. It stores model calls, tool calls, subagent activity, sessions, notes, schedules, and other state in a durable database so work can continue after server restarts; the web client receives committed session updates through server-sent events. The app supports live multiplayer sessions with presence, side chat, shared notes, mentions, reactions, pins, invitations, roles, and turn-taking. Users can steer or queue tasks, inspect tool output and diffs, fork or retry sessions, use git branches and worktrees, approve plan-mode changes, schedule messages, run goals until a check passes, and open a Chromium-based browser panel. It also provides artifacts, subagents, push notifications, extensions, codemode, and an optional Lancet Guard that requires approval for selected risky calls. Pi Pocket runs on Linux, macOS, Windows, or Android through Termux, requires Node.js 22.19 or newer, and can expose the app locally, over a LAN, through a Cloudflare quick tunnel, or through Tailscale. It is distributed under the MIT license. The project warns that anyone with steering access can make Pi run commands with the permissions of the host machine, and that Pi Durable is experimental.

Pushary is a service for approving or authorizing AI agents from a mobile device when they pause to request permission. It supports agent frameworks and models including Claude Code, Codex, Cursor, and other MCP-compatible agents, allowing users to provide one-tap approvals so the agents can continue operating.

Open Instinct is an open-source personal AI agent that users text through iMessage, SMS, email, or webhooks. It runs its own agent process in a microVM with a Linux desktop, uses the Pi agent loop and Composio to operate connected applications, and can create files such as PDFs in its workspace before sending them back as attachments. A policy guard evaluates every tool call. Its network model defines six trust tiers for contacts and their agents, with grants for narrowly scoped exceptions; permissions, invitations, agent-to-agent tools, approvals, scheduling, memory, and audit logging are handled by the repository's packages. Payments use a Stripe Link wallet to request a single-use card for an exact total after owner approval, with spending limits and confirmation rules defined in a policy file. The repository provides a TypeScript CLI, local development and Maritime deployment paths, a multi-user gateway, and documentation for configuration, permissions, protocols, security, and self-hosting. It is distributed under the MIT license; the README describes live iMessage and Maritime deployment as beta and requires users to provide their own service keys.

An ESP32-S3 firmware and MCP server for the M5Stack StopWatch that lets an external phone or computer agent control an iPhone. The client observes the iPhone screen and decides the next action; the StopWatch executes MCP commands such as taps, double-clicks, long presses, drags, scrolling, keyboard presses, ASCII text entry, and stopping or revoking control. The firmware runs no model and does not provide screenshots. The client connects to the StopWatch MCP endpoint over USB networking or Wi-Fi, while the StopWatch sends input to the iPhone over USB or experimental Bluetooth Low Energy. It supports portrait-normalized coordinates, one-pointer input, US-layout ASCII typing, and iPhones with AssistiveTouch enabled. The repository includes a setup skill for identifying the board, flashing firmware, pairing MCP, and adapting the software to other ESP32 boards. The project is integrated with the client-side Anan agent but also supports other HTTP MCP clients. Wi-Fi requires a 2.4 GHz local network; BLE input is experimental, and Chinese or other Unicode text input is not supported. Existing code is GPL-3.0-only, with an AGPL-3.0-or-later control-avatar component and other third-party notices retained in the repository.