Claudette Echo vs MiSensorKit

Claudette is a mobile control plane: live context, agent tree, and a real shell on your phone, pointed at your machine over SSH. Free to download — the core product is included: real PTY, context gauge, agent tree, Take the Wheel, and system voice (Siri / device TTS). Not a chatbot wrapper: your machine, your tmux, your prompt. No subscription. No in-app purchase required. Take the Wheel When you need to intervene — interactive rebase, stuck service, one-off command only you should run — drop into the live shell (same session, same working tree), then hand control back. Works over direct SSH on your own network. Connect with SSH • Direct SSH to any server or Mac — free • Cloud sessions: optional provider login only if you want your own billing (SSH to your Mac needs none) Full terminal, in your pocket Extended keyboard, multi-tab tmux that survives backgrounding, SFTP, Bonjour, Wake-on-LAN. Built for developers on the move • Context gauge — tokens, cost, and warnings • Agent tree — live subagent hierarchy • Real PTY — not chat pretending to be a terminal • Voice input + spoken summaries (system / Siri TTS) • Full command surface of the CLI agent you already run Compatibility Claudette is a general-purpose SSH terminal. It works with the command-line AI coding agents you install yourself, including Anthropic's Claude Code CLI. Claudette is an independent product from Olorin. It is not affiliated with, endorsed by, sponsored by, or otherwise associated with Anthropic PBC. "Claude" and "Claude Code" are trademarks of Anthropic PBC and are used here only to describe compatibility. Whether you're at your desk or on a walk, your AI coding partner — and the control plane — is with you.

MiSensorKit is a multi-modal field recording application designed for iOS devices. It enables synchronized capture of multiple sensor streams within a single recording session, making it the ideal portable tool for building rich multi-modal datasets in the field. CAPTURE MULTIPLE MODALITIES RGB frames saved as high-resolution JPEGs (up to 1024px) LiDAR depth maps stored as UInt16 millimeter buffers Full camera intrinsics and 6-DoF extrinsic pose logged every frame as JSON Real-time 3D body skeleton tracking with joint positions via ARKit Front-facing selfie camera capture Gaze estimation and eye tracking data GPS location with latitude, longitude, altitude, speed, heading, and accuracy metrics IMU data including accelerometer, gyroscope, fused attitude (roll/pitch/yaw), and gravity vector Ambient light intensity and color temperature estimates Barometric pressure readings synchronized with every frame FLEXIBLE RECORDING SETUP Choose which modalities to record, configure sampling frequency from 1 to 60 Hz, and select output resolution from 224 to 1024 px. A built-in preflight check alerts you to missing permissions or hardware limitations before you start. Monitor sensor status, live FPS, stream health, and session size in real time while recording. BUILT-IN DATA VIEWER Browse and inspect recorded sessions directly on your device. Scrub through individual frames to view RGB images, depth maps, camera metadata, skeleton data, and sensor readings — without needing to transfer files to a computer. EXPORT AND SHARE Export any session as a ZIP archive directly from the app, or share the raw folder via Files and AirDrop. A session summary sheet appears automatically after each recording with key statistics and one-tap sharing options. STRUCTURED OUTPUT FORMAT Each recording session creates an organized folder structure with separate directories for RGB, depth, camera pose, skeleton, GPS, IMU, and metadata — ready for your processing pipeline. REQUIREMENTS iPhone or iPad with LiDAR sensor (required for depth recording only) iOS 26.0 or later Designed for researchers and developers who need a portable, easy-to-use tool for multi-modal data collection without external hardware or complex calibration setups.