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Tips, guides, and news from the ClawHosters team.
40,214 exposed OpenClaw instances. That's the number SecurityScorecard published last month. Of those, 63% are vulnerable, and 12,812 are confirmed exploitable via remote code execution. Let that sink in for a second.
320 million people use Microsoft Teams every month. That's where decisions happen, questions get asked, and work actually moves forward. So it makes sense to put your AI assistant there too.
Microsoft 365 Copilot costs $30 per user per month. For a 50-person team, that's $18,000 a year before anyone sends a single prompt.
Your OpenClaw instance is running. Users are chatting with it. But do you actually know what's happening inside?
A team tweaked one system prompt. Looked fine in testing. In production, average reasoning chains jumped from 4 steps to 11. Token spend doubled. No error logs, no alerts, no HTTP 500s. They found out when the invoice arrived. That story, documented by Agentix Labs, is probably the best argument...
Most AI agents are smart but uninformed. They know the internet. They don't know your company's return policy, your internal API docs, or what your team decided in last Tuesday's meeting. That's the gap retrieval augmented generation fills.
Your OpenClaw instance ships with almost zero ai agent security turned on. The gateway binds to loopback, which is good. But the tool access model? Wide open. Your agent can run any shell command, read any file your OS user can reach, and accept messages from anyone who finds your Telegram bot.
Your OpenClaw agent can read, triage, and draft replies to email. The whole setup takes about 15 minutes if you know what to watch out for. And there's one gotcha that trips up probably 80% of people on their first attempt.
You tell ChatGPT your name. Next session, it's gone. You explain your project structure to Claude. Tomorrow, blank slate. As Sara Zan explains in her deep dive on LLM memory, large language models are stateless by design. Every API call starts from zero. The model doesn't "forget" you. It never...
Home Assistant can turn off the lights when motion stops. That's automation. But what happens when your motion sensor triggers at 2:30 AM, and you need something smarter than a binary "lights on / lights off" rule? You need reasoning. You need an LLM.
Your phone is probably the most powerful computer you carry around, so running OpenClaw on Android seems like an obvious move. And it works. Sort of. There are three distinct approaches, each with different trade-offs, and one of them will bite you if you don't know about Android's Phantom...
On February 13, 2026, a Vidar infostealer variant grabbed `openclaw.json`, `device.json`, and memory files from a compromised machine. The full credential dump, including LLM API keys, was confirmed by Hudson Rock. Hudson Rock CTO Alon Gal put it bluntly: infostealer developers will probably...
