Persistent context
Hermes is designed to carry useful context across sessions instead of acting like every interaction starts from zero.
Hermes Agent is a self-hosted, persistent AI agent from Nous Research. It is built around continuity: memory, reusable skills, tool use, and a learning loop that make more sense the closer Hermes stays to your real environment.
Hermes is designed to carry useful context across sessions instead of acting like every interaction starts from zero.
Successful work can be folded into reusable skills so repeated tasks become more consistent and less fragile.
Hermes is built around self-improvement. It can create and refine skills from experience instead of treating every task as unrelated.
The easiest way to understand Hermes is to stop thinking of it as a one-off chat and start thinking of it as a runtime that can stay close to real work. That continuity is what makes memory, reusable skills, self-hosting, and the built-in learning loop matter.
That is why many developers describe Hermes as a persistent AI agent rather than just another assistant interface.
Hermes combines tools, memory, provider selection, and reusable skills around a self-hosted runtime. The key is not just action, but continuity over time.
Many people notice the difference once they stop treating the agent like disposable chat software and start treating it like a long-lived system that can learn their environment.
Hermes can start locally, move into Docker, and then live on VPS or cloud infrastructure. It also has an OpenAI-compatible API path for interfaces like Open WebUI.
Officially, Hermes starts as a terminal user interface. From there, it can grow into longer-lived runtimes, messaging surfaces, and browser frontends through its API server path. The important thing is that the agent is not tied to one interface or one provider.
The official CLI guide is explicit: Hermes is a TUI, not a native web UI. The terminal is still the clearest place to understand how Hermes behaves.
Hermes becomes more useful when it lives near your files, repositories, scripts, logs, and services instead of staying trapped in a detached chat surface.
Hermes can start on your machine, move to Docker, live on a VPS, and even migrate from OpenClaw through an official migration path.
It is not just a disposable prompt-response tool that forgets everything every time you come back.
It is not primarily a native browser UI. Hermes is still more naturally understood as a self-hosted runtime with CLI and API entry points.
It is not locked to a single model vendor. Officially, Hermes can switch providers and models without requiring code changes.
It is not most useful when separated from your actual machine, services, logs, and workflow context.
The fastest path is to understand the first run before you make bigger infrastructure decisions.
The official first steps are install, then `hermes model` or `hermes setup`, then `hermes` for the first CLI session.
Local is the right first step for most people. Move to Docker or VPS only once the runtime shape becomes a real requirement.
If you already know OpenClaw, use the compare page and the official migration path to decide whether Hermes is the better operating model for your next step.
Answers to the questions new users usually ask first when they are trying to understand what Hermes Agent is and why it exists.
If Hermes sounds useful but still abstract, the fastest way to make it concrete is to read Quickstart and try a local run.
This page is a practical explanation layer. For the authoritative product docs, keep these official sources open:
Official README for the current positioning, quick install, command overview, and migration summary.
Official Quickstart for the exact first-run sequence from install to first conversation.
Official CLI guide for command examples, session handling, and the TUI mental model.
Quickstart will make the model concrete. Deploy will help you decide where Hermes should live after that first run.