tl:dr: One-click deploy an OpenClaw instance at Runware for free. Use it as a personal assistant, chatbot, coding, or even to generate images on Civitai, using your Buzz.
🦀 OpenClaw?
I'm sure you've heard of OpenClaw - the hype has been outrageous over the past few weeks. And for good reason. Short version: it's an open-source AI agent that blew up out of nowhere earlier this year, hit 200,000+ GitHub stars faster than basically any project in history, and pretty much deserves the hype.
OpenClaw connects an LLM to your system and lets it act on your behalf. It'll run shell commands, manage your files, browse the web, send messages, call APIs, write and execute scripts, message your toxic ex, delete system32, you get the idea. You give it a goal, and it'll figure out the steps to get there.
And it does this via a web interface - or cooler - messaging apps. You can interact with it via apps such as WhatsApp, Telegram, & Discord, on macOS/iOS/Android, & Windows.
🤔 Why should I care?
So you're on Civitai, I get it. You're making wholesome images of cats and grannies. Maybe you're training LoRAs, or writing articles. Maybe you've got a whole content generation pipeline set up. Why's this relevant to you?
Because a lot of what we're actually doing - not the creative part, the execution part - is repetitive, multi-step, and pretty tedious. Here are some use-cases;
• Prompt Variations. Right now you're hitting generate, tweaking a word, hitting generate again, repeat. With OpenClaw you say "generate 5 variations of this prompt, change the lighting and composition each time"
• Overnight batch runs. Queue up ~200 jobs before you go to sleep. Different models, different prompts, different settings - whatever you require. Wake up to a folder of finished images, organized by prompt variant, named sensibly, with a log of exactly what parameters made each one.
• Multi-step workfows. Example; pass in an image, have OpenClaw turn it into a prompt, before generating an image from multiple models;
OpenClaw doesn't make you more creative, that bit's still on you. What it does is take the parts of image gen that are basically running jobs and clicking buttons, and handle those while you focus on other stuff.
🙋♂️ Can't I do this locally?
Sure, if you're tech savvy (and brave) you can deploy OpenClaw locally on your own machine, but it's a huge PITA, and comes with a ton of headaches; you'll need Node.js, Docker is recommended, it's a whole thing to get it up and running. And then you have to manage updates, security, API keys, and all the rest.
Plenty of sites have popped up offering managed hosting for OpenClaw, taking the burden of setup, compute, networking, disk, security, & updates out of the equation, but they're all paid services - you pay them for the hosting, and again for the LLM tokens. The cheapest we've found is around $20 per month - just for the hosting.
We've just dropped free OpenClaw hosting, with a one-click deployment process. It's as simple as clicking a Deploy button to get your own, private, managed OpenClaw instance.
🤑 Free?*
Firstly, no matter how you're running OpenClaw, you'll have to pay for an LLM to do the thinking. That's inevitable.
Note: Before anyone screeches, yes it is technically possible to run it with a local LLM via LM Studio or Ollama, but it's not easy, or particularly safe.
What we've done is take the hosting cost out of the equation. You don't pay us anything to run it for you - our guys manage storage, networking, updates, security, and you only pay for the tokens your agent (LLM) consumes.
There's no subscription, no minimum spend, no promotional pricing, ads, upsells, limits, freemium tier, etc. It's legitimately free hosting for your 'Claw agent. The only requirement is that you have credits in your account for LLM usage.
🧠 Which LLMs?
We're currently providing access to over 20 closed and open-source LLMs to function as the brains of your 'Claw deployment, ranging from State of the Art models like Claude Opus 4.8, to DeepSeek-V4-Flash, and a bunch in between, most of them with configurable levels of reasoning (thinking power). You can swap between them on the fly, no re-deployment.
We've chosen Qwen 3.5 397B as the default model, because it offers a great balance between cost, speed, and capability.
We're transparent about cost. We’ve give you quick access to all of the frontier models, open source and closed, at our market-leading rates.
🖌️ Cool, I guess. What's the Civitai connection?
If there's interest in this initiative, I'll do a deep-dive on using OpenClaw for image/video generation workflows, but here are the basics.
The easiest way (right now) is to get your agent to hook up to an API and generate images & video through conversation. Sure, Civitai has a great on-site Generator experience, but by leveraging the API you're constrained only by your imagination - as demonstrated above.
To get started, you could create an API key from your Civitai account settings, and tell OpenClaw something like;
"Save this API key in a .env file in my workspace, then write a Python script that uses the Civitai API to generate images. Here's the Civitai API Documentation."
Then you can say: "Please make me an image, portrait orientation, Z-Image Turbo, prompt: "An elderly grandmother, sitting in a floral-print plush chair in a cottage living room, smiling at the viewer. She's holding a pet red crab, one hand stroking its shell. Wholesome."
And it's not limited to Generation. By passing in the link to Civitai's Site API docs directly to OpenClaw, you can perform all sorts of super useful on-site actions, like look up Civitai's highest quality model content;
There's even an Official Civitai Skill in development, which works with OpenClaw (and other agents). This does the setup legwork for you - instead of passing in the docs and having your agent build everything from scratch, pass it the Skill which contains everything it needs to get up and running.
You can easily search and add Skills to your OpenClaw instance from the Skills tab in the OpenClaw dashboard;
❓ FAQ
I know nothing about OpenClaw, help!
No problem! You need minimal knowledge to get started with this. I've put together a more in-depth post on the inner-workings of OpenClaw, if you're interested, but deeper knowledge of how it all fits together isn't necessary. You click Deploy, you chat with the agent, that's it!
Is this tied to Runware, or can I use this to make content on Civitai?
Runware is providing the free hosting. Once you've deployed OpenClaw you can do literally whatever you want with it! Civitai has excellent API developer documentation (https://developer.civitai.com/) which you can hand-off to your OpenClaw agent, for easy setup.
Do I need to know how to code to make this work?
Nope, OpenClaw can do all that for you - that's part of what it does. For image generation workflows, just describing what you want in plain language is enough to get it building the right scripts.
Is the hosting actually free - what's the catch?
The hosting is genuinely free. There's no subscription, no hidden fee, no monthly minimum.
Is my data safe?
Yes. Our OpenClaw instances run in their own secure environments. There's no shared state between your instance and other customers.
Which LLM should I use with it?
Depends what you're doing. For heavy coding and reasoning tasks, a frontier model (Claude Opus, GPT-5) will always do better. For lighter conversational use, roleplay, chatting, image gen, the open-weight options on Runware are solid and significantly cheaper. You switch between them in a dropdown, there's no fiddly configuration.
What messaging apps does it connect to?
WhatsApp, Telegram, Slack, Discord, Signal, and more, configured through OpenClaw's control panel after you deploy. Or you can interact entirely through the OpenClaw control panel - a web-based interface you launch from your Runware dashboard.
What if I already self-host OpenClaw?
The free hosted option we're offering is just a zero-friction on-ramp for folks who don't want to deal with server setup.
Where do I start?
runware.ai/free-openclaw Create an account. Click deploy, you'll have a working instance ready to chat and build upon in about ~1-3 minutes.