A lifesaver!
One request for the dev though: could you include more setup documentation? This would help me get started faster. Thanks!

This app acts as an AI agent authorization layer, requiring user verification for sensitive actions initiated by another application. It ensures that potentially destructive operations are only performed after explicit user approval via on-device biometric checks. The system prioritizes user privacy by processing all data locally without cloud storage or transmission.
4.3
April 22, 2026
Fix APNS processing to avoid presenting camera 2x
TruClaw acts as an authorization layer for AI agents. It intercepts sensitive or potentially destructive actions initiated by other applications and requires user verification before proceeding, ensuring you remain in control.
TruClaw is designed with a privacy-first approach. All biometric verification, including selfie matching and ID document scanning, is processed entirely on-device using iOS system APIs. No sensitive data is transmitted or stored on external servers.
No, TruClaw does not require any accounts, cloud storage, or subscriptions. It operates independently on your device, offering a streamlined and private user experience.
The setup for TruClaw is a one-time process. You will enroll by providing a selfie and a government-issued ID. The verification of this information is completed locally on your device.
When an application like OpenClaw detects a sensitive action, it sends an authorization request to your iPhone. You will receive a push notification, and upon opening TruClaw, you can verify using a selfie match to approve or block the action.
TruClaw is currently supported on iPhone and iPod devices. It leverages iOS system APIs for its on-device processing capabilities.
TruClaw was last updated on April 22, 2026, indicating a recent focus on development and maintenance. The latest version available is 4.3.
Based on the available data, TruClaw has received a perfect rating of 5.0 stars from 3 ratings, suggesting a highly positive user sentiment among its current user base.