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Tips, guides, and news from the ClawHosters team.
Three open-source AI agent frameworks launched within two weeks of each other in early 2026. All three have the word "Claw" in the name. All three let you run your own AI assistant. And all three make completely different bets about what matters most.
Your OpenClaw agent reads, writes, searches the web, calls tools. But it can't hear you. And it can't talk back. Voice changes that, and it's not as complicated as you'd think.
Port forwarding your AI agent to the public internet is a terrible idea. OpenClaw has broad access to your system, shell, files, network, and it eagerly reaches out to external APIs. Exposing that to the open web is asking for trouble. Tailscale gives you encrypted remote access to your OpenClaw...
Your AI agent knows a lot about the world. But it knows nothing about your project board, your meeting notes, or that CRM database you built in Notion last Tuesday. The Notion MCP server fixes that.
ClawHub hit 44,000 community skills in April 2026. That's wild growth for a registry that didn't exist six months earlier. But here's what nobody tells you: building your own skill takes about 10 minutes. Maybe less.
If you searched "install OpenClaw on Windows" recently, you probably saw some sketchy results. Fake GitHub installers, Bing AI recommending malware, the whole mess. This is the actual guide, with three real methods and honest trade-offs for each.
If your AI agent not working is the reason you're here at 2am, you're in the right place. Most OpenClaw problems fall into a handful of patterns, and they're almost always fixable in under five minutes. Here's the diagnostic ladder that gets you unstuck fast.
Your OpenClaw agent is smart. It reads emails, classifies intent, drafts replies, remembers context from two weeks ago. But then you ask it to update a Google Sheet and it burns 4,000 tokens on what should be a two-line API call.
If you already run a Kubernetes cluster, deploying an AI agent via Helm makes sense. Your infrastructure team knows the tooling, you've got monitoring in place, and one more workload probably won't break the bank.
OpenClaw custom skills are Markdown files. Not compiled binaries, not API wrappers, not Docker containers. Just a folder with a file called `SKILL.md` inside it. The agent reads your instructions at runtime and follows them.
Zero API costs. Your data never leaves your machine. And since Ollama 0.17 shipped in February 2026, the setup takes one command. That's the pitch for running OpenClaw with a local LLM, and it's mostly true.
Most people treat OpenClaw like a chat assistant. Type a question, get an answer. But that's like using a Formula 1 car to drive to the grocery store. OpenClaw is a modular prompt assembly runtime, and `SOUL.md` is the file that tells it who to be.
