WhatA cross-platform, OS-native sandboxing layer that lets developers run autonomous AI agents locally with fine-grained permission controls, without containers or VMs.
SignalDevelopers want to run AI agents in full-auto mode on their local machines but are terrified of what those agents might do — modify dotfiles, leak SSH keys, wipe git history. They want the convenience of local execution with the safety of isolation, and current solutions (Docker, built-in sandboxes) are either too heavy or too leaky.
Why NowAI coding agents like Claude Code and Codex have hit mainstream adoption in 2025-2026, and running them autonomously ('full-auto') is becoming the norm, creating urgent demand for lightweight local sandboxing.
MarketEvery developer using AI coding agents (~5M+ and growing fast); monetize via pro/team tiers with policy management. Competitors are built-in sandboxes from Anthropic/OpenAI which are acknowledged as inadequate.
MoatDeep catalog of tested permission policies per agent (the 'many hours of investigation' into minimum required permissions) creates a knowledge moat that compounds as more agents ship.
Agent Safehouse – macOS-native sandboxing for local agentsView discussion ↗ · Article ↗ · 807 pts · March 8, 2026
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