Launching today
Agent 37
Your own OpenClaw instance for $3.99/mo
756 followers
Your own OpenClaw instance for $3.99/mo
756 followers
Why pay $20/mo for basic hosting? Agent37 gives you a fully managed, isolated OpenClaw container (1 vCPU + 4GB RAM) with full terminal access for just $3.99/mo. We used our DevOps chops to pass the server savings directly to you. Live in 30 seconds. Connect your agent to Gmail, Slack, and 850+ apps instantly. Get full terminal shell access and run background tasks, market scanners, and workflows 24/7 without breaking the bank.
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Launch Team / Built With
Agent 37
Hey Product Hunt! I’m Amanda, maker at Agent 37 the easiest way to launch your own OpenClaw AI agent instance without server headaches.
If you’ve ever tried building AI agents that handle real tasks like emailing from Gmail, posting to Slack, or running scripts, you know the pain: hours (or days) wrestling with VPS setup, Docker installs, SSL certs, and API configs. We cut that to 60 seconds flat.
How It Works
Pick a plan and checkout. In 60 seconds, you get a private container with full web dashboard, TTYD terminal access, and 850+ apps pre-connected (Gmail, Slack, Notion). Bring your Claude/OpenAI keys and start building agents immediately.
Key Features
• Live monitoring and chat interventions from browser
• No Docker/SSL/API config—everything pre-wired
• Scales from solo testing to production workflows
• Secure isolation on shared infrastructure
Why Different
Traditional VPS setup takes 105+ minutes of Docker installs and cert fiddling. We handle infrastructure completely you just build and automate.
Try agent37.com and tell us: what’s your first automation? Drop feedback or questions below, we’re here to answer everything!
@amanda_silmon @fmerian congrats on your launch!!
Agent 37
@amanda_silmon @fmerian @mdubey07 thank you!
@amanda_silmon as a developer I have one question, is it with SSD along with 1CPU + 4gb dedicated server like we use VPS?
@amanda_silmon I guess, dedicated hardware not possible at that price. I guess, all shared.
Agent 37
@amanda_silmon @ifightcode That's right. But we do enforce resource limitations per container and users have full access within their own containers.
Agent 37
@amanda_silmon @mdubey07 Yup we have SSD along with it
Learnetto
@amanda_silmon Can I use my chatgpt subscription with this?
Agent 37
@amanda_silmon @hrishio yes absolutely! Or even your Claude subscription. It's the cheapest way to run this without paying for any tokens. You basically have full access to the terminal so you can do anything that openclaw supports
Hosting open-source agent frameworks usually means babysitting Docker containers and dreading AWS bills, so getting an OpenClaw instance down to a flat $3.99 monthly is a massive win. I am genuinely curious how you are managing the compute overhead on the backend without bleeding cash at that tier. This seems perfect for spinning up a quick background scraper for data pipelines without touching any infrastructure code.
Agent 37
@y_taka We have more than 50% margin even at this price, so fortunately, we're not bleeding cash with growth. We basically rent VPS/BareMetal and do this from the ground up. Most people are surprised at how much margin, AWS and similar providers have on this. It's actually pretty huge and we're basically exploiting that.
@y_taka How does Agent 37 handle OAuth token refresh for connected services like Gmail and Slack? In my experience running similar setups, that's the part that breaks quietly after a few weeks unattended.
Agent 37
@y_taka @piroune_balachandran We use composio toolkit as a custom plugin that's pre-installed. In my experience it works really well with these Oauth services like gmail, Notion, Calendar etc. No to mention setup is as easy as just asking the bot to connect to it, and it gives you a link to sign in and you're good to go.
Snippets AI
Cutting the VPS-to-running-agent setup from 105 minutes to 60 seconds removes the exact friction that kills most automation side projects before they produce any value. At $3.99/mo with 1 vCPU and 4GB RAM, what happens when an agent workflow spikes — is there burst capacity, or does the container hard-cap and queue tasks?
Agent 37
@svyat_dvoretski Yes, exactly! And yup the container has hard-cap on resources like vCPU and RAM, so there shouldn't be a noisy neighbor problem.
Agent 37
@vouchy I can speak from my experience, I wanted to build something that tweets regularly but by taking inputs from my personal diary in Notion. And the friction of setting all this up was very high. And that is also one of the things we're solving with agent37, where we make things like connecting to Notion and Twitter etc. a button click with pre-configured integrations via Composio
Interesting pricing. $3.99 for a managed OpenClaw instance sounds pretty accessible for developers who want to experiment without managing infrastructure. Curious how you're handling scaling and resource isolation as usage grows.
Agent 37
@farhad_asbaghipour We enforce hard caps on resource usage like CPU and RAM, so that there isn't a noisy neighbor problem, but also have monitoring and alerts on host statuses. Devops has been my background so it helps tackle these issues.
$3.99 for a managed container with terminal access is wild. Honest question what's the uptime been looking like so far, and is there a story for when someone outgrows the 1 vCPU / 4GB setup? That's usually where cheap hosting falls apart
Agent 37
@samet_sezer Thanks! So far it's been pretty good. We do weekly updates where we update instances to latest openclaw version and so it needs to reboot and restart the gateway, so there's that.
Some usecases where you'd move beyond Basic instance is when you want to create many agents within openclaw and need more CPU/RAM resources, same for things like heavy browser use. Also the basic instance comes with limited LLM Search api calls, like Brave, App Integration Composio Calls etc. so whenever you hit those limits you might want to upgrade to unlock more usage resources.
Curious how the platform handles scaling if someone starts running heavier workloads or multiple agents.
Agent 37
@christian_onochie Yup, this even happens unintentionally sometimes, but we have max caps on container resource usage to circumvent this.