How to install Hermes Agent on a VPS and run it 24/7
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Most AI tools work the same way every time you use them. Hermes Agent is different because it’s designed to learn from previous interactions, build persistent memory, and gradually improve recurring tasks over time, rather than starting each session from scratch. The more you use it, the less you have to explain.
That makes Hermes useful for tasks such as automated research, recurring reports, and cross-platform workflows that require long-term context. It also supports hundreds of AI models, scheduled tasks, and messaging integrations.
How to deploy Hermes Agent
Running Hermes on your local machine works, but it comes with a real limitation: once your computer goes to sleep or shuts down, Hermes stops running. Scheduled tasks miss their window, workflows stall, and any context built up during the session remains frozen until you restart it.
If you are already hosting with Bluehost, it supports Hermes deployments too. Here is how to get it running:
- Sign up and choose a VPS plan. I recommend Hostinger, now available with a 73% discount.
- Open Docker Manager, go to Catalog, find Hermes Agent, and click Select.
- Enter your LLM API key when prompted and click Deploy. If you don't have one yet, OpenRouter is the quickest to get started with. Sign up, generate a key, and paste it in.
- Once deployment is complete, open the Browser Terminal from your dashboard. You will land inside your server. From there, Hermes is ready to access, and you can start interacting with it straight away.
- Type /help to see available commands and start building your first workflow.
What is Hermes Agent?
Hermes Agent is an open-source AI assistant built by Nous Research. At a basic level, it works like other AI agents: you give it tasks, connect tools and models, and let it handle workflows across different platforms. The difference is that Hermes is designed for ongoing use instead of one-time sessions.
Instead of treating each interaction separately, Hermes keeps track of context and stores information across sessions. That makes it better suited for recurring workflows where you don’t want to repeat the same setup every time. Over time, it can adapt to the way you work and make routine tasks feel less manual.
Hermes Agent also supports more than 200 AI models through OpenRouter, alongside direct integrations for OpenAI and Anthropic. It can connect to platforms like Telegram, Slack, Discord, WhatsApp, and email, letting you manage workflows across multiple channels from one place. There is also a built-in scheduler for recurring tasks, plus support for browser automation, web search, and terminal execution.
Because Hermes runs on your own server, your data stays yours. API keys, conversation history, and learned skills never touch a third-party platform. It feels more like a long-running assistant than a chatbot you open for a few minutes and then forget about.
Why choose Hermes over OpenClaw
OpenClaw is an AI platform built around multiple agents working together at the same time. Since being acquired by OpenAI, OpenClaw has gained attention for handling more complex AI workflows.
Hermes takes a different approach. Instead of juggling multiple agents, it focuses on a single assistant that learns from experience and maintains context over time. That makes it a more practical fit for solo founders, freelancers, and operators who want something they can gradually build workflows around.
The longer you run Hermes, the more it adapts to the way you work. OpenClaw makes more sense for larger, more complex automations, while Hermes feels better suited for day-to-day workflows managed by a single person.
What can you use Hermes Agent for?
Hermes works best when it has something to do regularly. The use cases below are the kind of recurring workflows where the persistent memory and learning loop actually make a difference over time.
Morning briefings delivered to Slack or Telegram
Most people start their day by manually checking several sources, such as emails, news, market updates, and whatever is relevant to their work. It takes time, and it looks the same every morning, regardless of what actually matters that day.
Hermes can handle this automatically. Set it up once with the sources and format you want, connect it to Slack or Telegram, and it delivers a tailored briefing on a schedule. Over time, it learns what you actually find useful and trims what you don't.
Recurring research and reporting that gets faster over time
Putting together a weekly report or research summary usually means doing the same groundwork every time. You pull the same data, dig through the same sources, and format the output the same way. This requires repeating steps that feel like they should already be automatic by now.
Hermes removes a lot of that repetition. After running a research or reporting task a few times, it starts to recognize the pattern and handles more of it on its own, with less input each time. The tenth time you run it looks nothing like the first.
A personal Chief of Staff across multiple channels
Managing tasks across Slack, email, Telegram, and other platforms usually means constant context switching. Something gets flagged in one place, followed up in another, and occasionally falls through the gap between them.
Hermes can sit across all of those channels at once. Once you tell it how certain tasks should be handled, it routes, tracks, and follows up across platforms without you having to manually check each one. For solo operators, that is probably the closest thing to having an actual assistant without hiring one.
