AI agent hosting that stays on when you log off
Run OpenClaw, Hermes, or any Docker image on a persistent, always-on instance. Files and memory survive between tasks. From $3.99/mo managed, or $1.99/mo per instance through one API call.
Cancel anytime. No lock-in.What AI agent hosting actually requires
AI agent hosting is infrastructure that keeps an agent alive between tasks: persistent compute, durable memory, and scheduling, rather than the stateless request-and-response model of ordinary web hosting. Agent 37 provides exactly that: persistent, always-on instances for AI agents, from $1.99 a month. An agent is not a website. It holds context, watches things, and acts on its own schedule, so the machine underneath it has to stay on and remember.
Most compute platforms were built for the opposite assumption. Serverless functions freeze or recycle idle processes, so an agent loses everything it was holding in memory and cold-starts back into amnesia exactly when it should be acting. Hyperscaler VMs keep state but bill like it is 2015: an always-on worker on the smallest sensible shape lands near $25 a month before you have wired up storage, schedulers, and networking yourself.
What actually runs on agent hosting? Morning briefings compiled from email and calendar before you wake up. An agent that watches a shared inbox and drafts replies. Scheduled checks on prices, feeds, and pipelines that message you the moment something changes. Assistants that live in WhatsApp or Telegram all day. None of these tolerate a host that sleeps, because half the value is that the agent acts while you are away from the keyboard.
Run the agents you already use
No new framework to learn. Agent 37 hosts the open-source agents people actually run, preinstalled and ready, or anything you can put in a container.
OpenClaw
The open-source gateway that puts an agent in WhatsApp, Telegram, Discord, and Slack. Deploys preinstalled, channels ready to connect.
OpenClaw hostingHermes agent
The open-source personal agent that lives in your chat apps and gets things done. The default template on the Cloud API.
Hermes hostingAny Docker image
A custom LangChain, CrewAI, or hand-rolled Python agent runs the same way: point an instance at any public image via the Cloud API.
Cloud APIClaude Code
Coming soonAn always-on Claude Code instance you can hand tasks to from anywhere. The template is in the works; it is not available today.
Claude Code hostingLooking for OpenAI's Codex? It runs on the same persistent instances: see Codex hosting.
Memory that survives, compute that stays warm
Everything an agent needs to keep its state and keep its promises, without you assembling it from parts.
A workspace that survives
Files, conversation memory, sessions, and connected tools live on a persistent disk. They survive between tasks and across restarts, until you delete the instance.
Always warm, no cold starts
Your agent is a running process, not a function waiting to be thawed. It answers at full speed at 3 a.m. with all of its context intact.
Scheduled jobs and heartbeats
Agents should act on a schedule, not just on request. Cron-style jobs and recurring check-ins run from the dashboard or the API.
1,000+ integrations
Connect Gmail, WhatsApp, Slack, GitHub, and 1,000+ more apps through Composio, so your agent acts inside the tools you already use.
Bring your own keys
API calls go straight from your instance to Anthropic, OpenAI, or any provider. We never touch your keys. Managed credentials exist too, metered at cost.
Isolated instances
Every agent gets its own isolated container with kernel-level isolation and hard disk quotas. Your files and keys stay inside it.
A dashboard, not SSH
Managed instances come with a task board, a full web terminal, a file browser, and a live Linux desktop, all in the browser.
Updates handled
Runtime updates and security patches roll out automatically on managed hosting. You are never the person reading a changelog at midnight.
Room to grow
Expandable disk at $0.09/GB per month, bigger shapes one call away, and public ports plus custom domains when your agent serves traffic.
Always-on hosting vs everything else
Honest answer: general-purpose clouds can host an agent. People do it every day, with enough glue. The question is whether you want to build and babysit that glue, or rent a machine that was shaped for agents from the start.
Serverless, hyperscalers, and DIY
Persistent instance on Agent 37
If you enjoy assembling infrastructure, a VPS or a hyperscaler gives you total control and nobody will stop you. If you want the agent on, every hour of every day, with its memory intact and its schedule kept, that is the entire job of AI agent hosting, and it is the only thing Agent 37 does.
Two ways in, both under $4
Run your own agent from the browser, or provision agents for your users through an API. Same persistent instances underneath.
Managed hosting
For running your own agent. Pick a tier, check out, done.
Cloud API
For products. One POST provisions an always-on instance per customer.
One honest caveat: at these prices there is no white-glove human support queue. An AI bot answers first and community support backs it up; email and chat support start on the Pro tier. That trade is a big part of what keeps an always-on agent under $4 a month. Full tier details live on the pricing page.
Embed hosted agents in your product
If you are building an agent product, the hard part is not the agent. It is giving every customer their own persistent, isolated instance without becoming an infrastructure company. On Agent 37 Cloud, POST /v1/instances provisions an always-on computer running Hermes, OpenClaw, or your own Docker image, reachable at its own URL, with files, memory, and sessions that persist until you delete it.
It is white-label by default: you hold the key, your customers never see Agent 37, and a forkable white-label dashboard gives you a multi-tenant app to rebrand and ship. ApolloClaw.ai runs its own branded agent product on exactly this setup, with multiple live instances, and launched thecollegeagent.ai on the same infrastructure. Its founder left an unprompted 5-star Trustpilot review.
Live in minutes, no infrastructure project
No docker-compose to debug, no TLS to renew, no server to keep fed. Deploying an agent here is a checkout flow, not a weekend.
Pick your agent
Choose OpenClaw or Hermes on managed hosting, or any public Docker image through the Cloud API. Either way the instance comes up with the agent already installed.
Connect it to your life or your product
Link your chat apps and integrations from the dashboard, add your model keys or use managed credentials, and set the schedules you want the agent to keep.
Log off
The instance stays on. Your agent keeps watching, replying, and running its jobs while your laptop sleeps. Building a product instead? The same thing is one POST per customer.
Want the full landscape first? Read the best OpenClaw hosting providers in 2026.
Numbers before adjectives: more than 1,000 people pay to run their agents here, the launch hit #1 Product of the Day on Product Hunt, and every Trustpilot review so far is 5 stars.
AI agent hosting questions, answered
How much does it cost to host an AI agent?
The agent itself is usually free software: OpenClaw and Hermes cost nothing. What you pay for is model usage plus somewhere always-on to run the agent. On Agent 37 an always-on instance costs from $1.99/month through the Cloud API, or from $3.99/month managed with a full dashboard. The same 24/7 workload on the smallest always-on shapes at AWS or GCP works out to roughly $30/month, about 6 times the dedicated price, and a DIY VPS runs about $5/month plus your time as the operator.
Can I host an AI agent for free?
Not here, and rarely anywhere, honestly. Free tiers on serverless platforms suspend idle processes, which is fatal for a persistent agent: it cold-starts with its memory gone exactly when it should be acting. Agent 37 is not free. New Cloud workspaces get a $1 starter credit with no card required, which covers about a week of the cheapest instance, and managed hosting starts at $3.99/month.
Do I need a GPU to host an AI agent?
No, not if your agent calls hosted models from Anthropic, OpenAI, or another API provider, which is how OpenClaw, Hermes, and most modern agents run. The hosting layer needs steady CPU, RAM, and disk, not VRAM. GPU clouds solve a different problem, serving model weights locally. Agent 37 instances are CPU shapes built for orchestration, memory, and uptime.
What happens to my agent between tasks or if it restarts?
Nothing is lost. Every instance keeps a persistent workspace: files, conversation memory, sessions, and connected tools survive between tasks and across restarts, and persist until you delete the instance. That is the core difference between AI agent hosting and stateless compute, where anything in memory disappears when the process is recycled.
Which agents can I run?
OpenClaw and Hermes are first-class: pick one and it arrives preinstalled. Through the Cloud API you can also point an instance at any public Docker image, so a custom LangChain, CrewAI, or hand-rolled Python agent runs the same way. A Claude Code template is coming soon; it is not available today.
How is this different from renting a VPS?
A VPS gives you raw Linux and total control, and at around $5/month it is the cheapest self-hosting route if you are happy running Docker, TLS, updates, and monitoring yourself. Agent 37 sells the absence of that job: instances come up with the agent preinstalled, stay patched automatically, and give you a browser dashboard or an API instead of SSH-first ops.
Can my product give every customer their own hosted agent?
Yes, that is exactly what the Cloud API is for. POST /v1/instances provisions an always-on agent per user, white-label by default: you hold the API key and your customers never see Agent 37. Billing is metered per minute from a prepaid balance with no per-seat pricing, and a forkable white-label dashboard gives you a multi-tenant app to rebrand and ship.
The short version: agents only earn their keep when they are on. Give yours a persistent home for less than a coffee a month, and stop being the reason it went offline.