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.
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!
Setting up agents usually dies in the Docker + infra setup stage, so a 60-second ready container is a smart move.
The pricing-to-value ratio here is hard to beat. As someone building an AI-powered SaaS myself, I know how much time goes into infrastructure setup before you even write a line of agent logic. The 850+ pre-connected integrations is what stands out to me; that's usually where the real friction lives, not just the container setup but wiring everything together.
Quick question: for agents that need to run on a schedule (like pulling data from an API every hour and processing it), is there a built-in cron/scheduler, or would you set that up yourself inside the terminal?
@amanda_silmon @fmerian Congrats on the launch. Curious about the infrastructure layer behind this. When workflows scale across many users, are you running each agent inside ephemeral containers or maintaining persistent environments with state management? Handling isolation and resource allocation for AI agents seems like a tricky part of the stack.
Love the idea of removing all the DevOps friction from running AI agents. The $3.99/mo price point is impressive for a dedicated container with full terminal access.
Curious about data persistence — if I'm running a background workflow that builds up state over time (like a market scanner), does the container's storage persist across restarts, and is there a storage limit?
Just booked a spot. Congrats on launching, very promising product. Good luck, team.
$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
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.
Curious how the platform handles scaling if someone starts running heavier workloads or multiple agents.
As a non-tech guy, this is exactly what people like me need. I also like the approach: "95 spots left at $3.99/mo then $9.99/mo for new signups", I see what you did here ;) . If Agent 37 would be a stock, I would buy it right away. Good luck to the team.
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.
Hey Amanda, that 105 minutes of Docker installs and cert fiddling is painfully accurate. Was there a specific project where you were supposed to be building an agent but spent the whole day just fighting with infrastructure?
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?
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!