Hermes Agent runs where your work already happens.
It keeps context across sessions, turns solved work into reusable skills, and becomes more useful over time.

Hermes is most useful when it lives near the files, logs, tools, and routines it needs to help with. The value comes from continuity, not from a single prompt.
Hermes carries context about your environment, preferences, and prior solutions across sessions.
Solved work can become reusable skill logic instead of being rediscovered from scratch each time.
Hermes is meant to stay near the machine or server that actually holds the workflows, logs, and tools it should help with.
CLI, gateways, and future interfaces can all become access points to the same long-lived Hermes instance.
Hermes is shaped around continuity. The important distinction is not a checklist of integrations, but the fact that it can accumulate operating ability over time.
Start local, use Docker for a cleaner runtime, move to VPS or cloud for always-on use, and keep an eye on managed hosting later.
Best for evaluation and for learning the Hermes model directly on your own machine.
Best for a repeatable runtime boundary when you want fewer environment surprises.
Best for the real always-on Hermes shape: persistent, connected, and available across channels.
A lighter path for teams that want Hermes without managing the runtime themselves.
Answers to the questions new users usually search first: what Hermes Agent is, how to install it, whether it supports Open WebUI, and how it compares to OpenClaw.
For setup options, go to Deploy. For code and official docs, use GitHub and the upstream documentation.
If you are new to Hermes, begin with the path that matches how much infrastructure you want to own.