WhatA lightweight, user-friendly sandboxing layer that lets AI agents interact with your desktop apps and browser while maintaining strict security isolation and audit trails.
SignalDevelopers and power users are genuinely excited about computer-using agents but deeply uncomfortable giving them direct access to their machines — many insist on Docker or refuse to use these tools at all due to security paranoia, revealing a clear gap between desire and trust.
Why NowMultiple computer-use agents (Codex, Cowork, OpenClaw, Kimi Claw) are shipping simultaneously, creating urgent demand for a trust layer that none of them are building themselves.
MarketEvery developer and power user running AI agents on their machines — initial TAM of millions of technical users, expanding as agents go mainstream. No dedicated competitor exists; current workaround is manually configuring Docker containers.
MoatFirst-mover in establishing the trust standard for agent sandboxing; network effects from a shared permission/reputation system for agent behaviors; potential to become the default security layer that agent platforms integrate with.
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