Safehouse: macOS Kernel-Level Sandboxing for Secure Local AI Agent Development
By
atombender
Pure flour-power. Hearty enough to carry you through lunch.
Summary
Safehouse is a macOS-native sandboxing solution for local AI agents that provides kernel-level enforcement to prevent destructive actions. It creates a secure environment where LLM coding agents can operate without risking system damage by denying write access outside designated project directories. The tool uses macOS's sandbox-exec to block system calls before any files are touched, ensuring that even probabilistic AI agents with potential for errors cannot cause harm to the host system.
Key quotes
· 5 pulledLLMs are probabilistic - 1% chance of disaster makes it a matter of when, not if.
Safehouse makes this a 0% chance — enforced by the kernel.
Safehouse denies write access outside your project directory. The kernel blocks the syscall before any file is touched.
Tested against all leading agents
Sandbox your LLM coding agents on macOS. Kernel-level enforcement via sandbox-exec — deny-first, composable, zero dependencies.
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