Video: "Hermes Agent HUD UI is INSANE (FREE!)" by Julian Goldie on YouTube.
Why visibility into an agent's state matters
Running Hermes Agent in the terminal gives you its output — the text it produces, the tasks it completes, the errors it logs. What it does not give you is a clear view of its internal state: how much memory it is using, which skills it has loaded, what scheduled jobs are queued, and how much each API call is costing you. For casual use, that gap is tolerable. For anything running repeatedly or touching important work, it becomes a real problem.
The HUD UI addresses this directly. It is a browser-based interface — free, open-source — that connects to a running Hermes instance and gives you a live read on everything the agent is doing beneath the surface. You do not have to change how Hermes runs. You just open the dashboard alongside it.
What the HUD actually shows
The dashboard surfaces five things in real time. Memory state: what Hermes has stored in its skill library and context window, so you can spot bloat before it starts affecting performance. Scheduled jobs: which tasks are queued and when they are set to run, useful for anything you have set up to run overnight or on a timer. Skill usage: which skills are being pulled into each run, which helps you audit whether the agent is drawing on the right knowledge or pulling in irrelevant context. API health: a live read on which model connections are responsive and whether any are throwing errors. And token costs: a running total so you are not surprised at the end of the month.
None of these are things you could not technically find by reading through terminal output or log files. The HUD just makes them available in a format that takes seconds to interpret rather than minutes.
Who benefits most
Anyone running Hermes on a schedule — content agents, data gathering workflows, anything set to run without direct supervision — will find the HUD considerably more useful than periodically checking terminal output. The scheduled jobs view alone is worth the setup for that use case.
It is also genuinely useful for teams where the person who configured Hermes is not always the person checking in on it. Non-technical team members can use the dashboard to confirm the agent is running and review what it has produced without needing to know their way around a terminal. That is a meaningful change if you are trying to spread AI agent usage across a business rather than keeping it locked to whoever set it up.
What it does not replace
The HUD is a monitoring tool, not a control panel. You can observe state from it, but you cannot issue new goals, modify skills, or reconfigure the agent through the interface — that still happens in the terminal or through the separate Hermes UI dashboard. Think of it as the instrument panel for a running session rather than the wheel. For most teams the sensible approach is to use both: the main Hermes UI for configuration and direction, the HUD for ongoing visibility while jobs are running.
Where this connects to NordSys
We set up Hermes Agent for clients with the monitoring and scheduling infrastructure already in place — which means the HUD comes configured as part of a working install, not as something to figure out afterwards. If you want an AI agent that runs reliably and that someone on your team can actually keep an eye on, see our AI Agents service.
See our AI Agents service →