Market Trends
Gemini Executive Synthesis
Klaus – hosted OpenClaw on a VM, pre-configured with integrations and security features.
Technical Positioning
A simple, secure, and powerful out-of-the-box solution for running OpenClaw, abstracting away infrastructure setup, security concerns, and operational complexities.
SaaS Insight & Market Implications
Klaus represents a crucial step in the maturation and democratization of the AI agent ecosystem. While advanced developers might find self-hosting frameworks like OpenClaw straightforward, this offering targets the vast majority who struggle with the inherent complexities of infrastructure setup, security best practices, and operational stability. By providing dedicated, pre-configured EC2 instances with robust security measures (private subnets, auto-updates, key isolation) and essential integrations (OAuth for Slack/Google Workspace), Klaus significantly lowers the barrier to entry for building and deploying AI agents. Developers are increasingly drawn to such managed services because they abstract away the 'pain' of VM/container setup, mitigate the 'insecurity' of granting root access, and address the constant battle against agent-induced 'wreaking havoc.' The innovative inclusion of ClawBert, an AI SRE that automatically hotfixes instances, underscores the current fragility of agent systems and Klaus's proactive approach to ensuring reliability. This allows developers to shift their focus from infrastructure headaches to core agent logic and business value. This service embodies the 'Heroku for AI agents' trend, making powerful AI capabilities accessible to a broader audience. It actively acknowledges and mitigates unique AI security challenges, such as prompt injection resilience, and fosters an ecosystem by integrating with other agent-centric tools like OpenRouter and Orthogonal. Klaus is more than just a hosting solution; it's a comprehensive operational layer designed to transform the promise of AI agents into a practical reality for a wider user base, marking a significant stride towards mainstream adoption of agentic AI.
Proprietary Technical Taxonomy
Raw Developer Origin & Technical Request
Hacker News
Mar 13, 2026
Show HN: Klaus – OpenClaw on a VM, batteries included
We are Bailey and Robbie and we are working on Klaus (klausai.com hosted OpenClaw that is secure and powerful out of the box.Running OpenClaw requires setting up a cloud VM or local container (a pain) or giving OpenClaw root access to your machine (insecure). Many basic integrations (eg Slack, Google Workspace) require you to create your own OAuth app.We make running OpenClaw simple by giving each user their own EC2 instance, preconfigured with keys for OpenRouter, AgentMail, and Orthogonal. And we have OAuth apps to make it easy to integrate with Slack and Google Workspace.We are both HN readers (Bailey has been on here for ~10 years) and we know OpenClaw has serious security concerns. We do a lot to make our users’ instances more secure: we run on a private subnet, automatically update the OpenClaw version our users run, and because you’re on our VM by default the only keys you leak if you get hacked belong to us. Connecting your email is still a risk. The best defense I know of is Opus 4.6 for resilience to prompt injection. If you have a better solution, we’d love to hear it!We learned a lot about infrastructure management in the past month. Kimi K2.5 and Mimimax M2.5 are extremely good at hallucinating new ways to break openclaw.json and otherwise wreaking havoc on an EC2 instance. The week after our launch we spent 20+ hours fixing broken machines by hand.We wrote a ton of best practices on using OpenClaw on AWS Linux into our users’ AGENTS.md, got really good at un-bricking EC2 machines over SSM, added a command-and-control server to every instance to facilitate hotfixes and migrations, and set up a Klaus instance to answer FAQs on discord.In addition to all of this, we built ClawBert, our AI SRE for hotfixing OpenClaw instances automatically:
Clawbert is a Claude Code instance that runs whenever a health check fails or the user triggers it in the UI. It can read that user’s entries in our database and execute commands on the user’s instance. We expose a log of Clawbert’s runs to the user.We know that setting up OpenClaw is easy for most HN readers, but I promise it is not for most people. Klaus has a long way to go, but it’s still very rewarding to see people who’ve never used Claude Code get their first taste of AI agents.We charge $19/m for a t4g.small, $49/m for a t4g.medium, and $200/m for a t4g.xlarge and priority support. You get $15 in tokens and $20 in Orthogonal credits one-time.We want to know what you are building on OpenClaw so we can make sure we support it. We are already working with companies like Orthogonal and Openrouter that are building things to make agents more useful, and we’re sure there are more tools out there we don’t know about. If you’ve built something agents want, please let us know. Comments welcome!Developer Debate & Comments
on the prompt injection via email problem — model choice helps but it's not the right layer to defend. you want to scan at ingestion, before the content ever hits context.we built LobsterMail (lobstermail.ai) specifically for this. we're an email security team behind (palisade.email) and have been really obsessed with this problem for the last 6 months.every inbound email gets scanned for 6 injection categories (boundary manipulation, role hijacking, data exfiltration attempts, obfuscated payloads, etc.) before it reaches the agent. the SDK exposes `email.isInjectionRisk` and `safeBodyForLLM()` which wraps untrusted content in boundary markers with a metadata header. the agent can make an informed decision rather than blindly consuming whatever lands in its inbox.it's also agent-native — the agent self-provisions its own `@lobstermail.ai` address, no oauth app needed, no borrowing the user's gmail. big respect for agentmail too but give a shot to lobstermail if youre interested!
For openclaw to become helpful, you have to connect it to your personal email, access to your file etc. All of these requires user's manual setup right?. I do not get the point of "batteries included". Installing it is not the bottleneck right? The official docs has detail procedures for all deployment options.
The actual cost depends almost entirely on context window size and task frequency, not the hosting tier. Light usage (a few conversations a day, no cron jobs) typically lands $5-20/month in API tokens. The trap is scheduled tasks or heartbeat loops running against Opus — that compound fast. Switching the default model to Sonnet cuts costs ~5x for most workloads with no real quality difference for non-coding tasks. A few things that actually move the needle: - Run openclaw models list to see what's configured, then set a cheaper default for routine tasks - Set a token budget in any cron job skill config before running it overnight - Keep MEMORY.md trimmed — long memory files add to every request I put together a cost calculator at openclawcheatsheet.com that lets you model different usage patterns (message frequency, cron jobs, context size) and get a realistic monthly estimate. Helped me stop being surprised by my Anthropic bill.
The biggest value IMHO of OpenClaw is that it's in the Apple ecosystem, so it leverages Reminders, iCloud sync for Obsidian values, etc., so not having a Mac option is pretty limiting for anyone who's relying on those integrations currently.
> Connecting your email is still a risk.> If you’ve built something agents want, please let us know. Comments welcome!I'll bite! I've built a self-hosted open source tool that's intended to solve this problem specifically. It allows you to approve an agent purpose rather than specific scopes. An LLM then makes sure that all requests fit that purpose, and only inject the credentials if they're in line with the approved purpose. I (and my early users) have found substantially reduces the likelihood of agent drift or injection attacks.https://github.com/clawvisor/clawvisor
I don't get it. The point of OpenClaw is it's supposed to be an assistant, helping you with whatever random tasks you happen to have, in natural language. But for that to work, it has to have access to your personal data, your calendar, your emails, your credit card, etc., no?Are there other tasks that people commonly want to run, that don't require this, that I'm not aware of? If so I'd love to hear about them.The ClawBert thing makes a lot more sense to me, but implementing this with just a Claude Code instance again seems like a really easy way to get pwned. Without a human in the loop and heavy sandboxing, a agent can just get prompt injected by some user-controlled log or database entry and leak your entire database and whatever else it has access to.
What's the best "docker with openclaw" currently available? I have my own computers to run it on (I don't need a server). I want to play around, but containerized to avoid the security risk of MacOS app.There seem to be about 20 options, and new ones every day. Any consensus on the best few are, and their tradeoffs?
Is this not just Claude Code? Genuinely hoping someone could spell it out for me
Do you run a dedicated "AI SRE" instance for each customer or how do you ensure there is no potential for cross-contamination or data leakage across customers?Basically how do you make sure your "AI SRE" does not deviate from it's task and cause mayhem in the VM, or worse. Exfiltrates secrets, or other nasty things? :)
This sounds awesome and exactly like the easy and safe on-ramp to OpenClaw that I've been looking for! I want to believe.Two questions as a potential user who knows the gist of OpenClaw but has been afraid to try it: 1. I don't understand how the two consumption credits play into the total cost of ownership. E.g. how long will $20 of Orthogonal credits last me? I have no idea what it will actually cost to use Klaus/OpenClaw for a month. 2. Batteries included sounds great, but what are those batteries? I've never heard of Apollo or Hunter.io so I don't know the value of them being included.In general, a lot of your copy sounds like it's written for people already deep into OpenClaw. Since you're not targeting those folks, I would steer more towards e.g. articulating use cases that work ootb and a TCO estimate for less technical folks. Good luck, and I'm eager to try it!
Engagement Signals
Cross-Market Term Frequency
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