There's a DGX Spark sitting in my home office running OpenClaw. It's connected to my phone and my laptop through secure tunnels, and it has become, without exaggeration, the operating system for how my family runs.   My wife and I use it to plan our kids' schedules. I built an agent skill that pulls up the school lunch menu every morning as a reminder. Another one tracks their tennis match draws. I've connected Model Context Protocol (MCP) servers through Zapier to sync my email, my calendar, and Discord. It nudges me about things I'd otherwise forget. It holds all the context I can't hold in my head. It has become my deepest thinking partner: the place where half-formed strategy ideas become real before they ever hit a slide deck.

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Cisco's VP shares his personal experience running OpenClaw (a fictional open-source personal AI agent) at home, then announces DefenseClaw — an open-source governance layer built on top of NVIDIA's OpenShell sandbox. DefenseClaw addresses real security incidents that plagued OpenClaw's rapid growth, including a critical RCE vulnerability, 135,000+ exposed instances, and a supply chain attack (ClawHavoc) that poisoned 20% of the skill registry. DefenseClaw provides three core capabilities: pre-installation scanning of all skills/tools/plugins using five integrated scanners, runtime threat detection via content inspection at the agent execution loop, and hard-enforcement block/allow lists with sub-2-second revocation. All telemetry streams into Splunk out of the box, making every agent action observable from day one. The project launches March 27, 2026 on GitHub.

I Run OpenClaw at Home. That’s Exactly Why We Built DefenseClaw.

The Fastest-Growing Open Source Project is also a Massive Target

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