ClawTab vs MiSensorKit

ClawTab puts your Mac's AI agents in your pocket. Schedule, monitor, and control Claude Code. Codex and OpenCode sessions and automated jobs from anywhere - right from your phone. Run AI coding agents on your Mac and never miss a question. When an Agent needs your input, ClawTab detects it automatically and sends you a push notification with tappable answer cards. No more babysitting terminal windows. KEY FEATURES - Remote job control: Run, pause, resume, and stop jobs on your Mac from your phone - Agent question detection: When Agent asks a question, answer it with a single tap - Live log streaming: Watch terminal output in real time - Cron scheduling: Schedule recurring jobs with standard cron expressions - Push notifications: Get notified when jobs complete or need attention - Workspace sharing: Grant colleagues access to monitor and control your agents - Run history: Review past job runs, exit codes, and logs - Secure by design: Secrets stay in your Mac's Keychain, never transmitted HOW IT WORKS Agent instances need to run in tmux to detect and control them. 1. Install the ClawTab desktop app on your Mac (free, open source) 2. Pair your phone by signing in with the same account on both Mac and iOS 3. Create jobs - shell scripts, Claude Code prompts, or folder-based agents 4. Control everything from your phone: run jobs, stream logs, answer agent questions Whether you're running a single Agent session or orchestrating dozens of AI agents across projects, ClawTab keeps you in control without being chained to your desk. Self-hosting available for teams and enterprises who want to run their own relay server.

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.