How I Use Hermes Agent Daily: 9 Real Use Cases

Q: Do I need coding skills for these Hermes agent use cases?

No — Julian built a habit tracker, website, flashcard game, meditation timer and a Jarvis assistant without writing code. You describe outcomes and the agent handles implementation.

Q: Is the Hermes Jarvis voice assistant practical or just a demo?

Both — it's the most fun part of the setup, but agent teams and workspace tools get more done for raw implementation speed. The voice layer earns its place as the hands-free front end.

If you want to understand Hermes agent use cases, the best way I can explain them is to walk you through a normal day with my setup running.

Because that's the real test, isn't it?

Anyone can make a demo look good for two minutes.

The question is whether you're still using the thing three months later — and I am, every single day.

My version is a Jarvis-style assistant built on Hermes, and the easiest way to get it is to watch it work before reading how.

Quick context on what's under the hood, because people always ask.

My setup is three parts working together: Hermes agent providing the agentic capabilities, ElevenLabs generating the voice, and Claude building and improving the system in the background.

I don't code, and I built all of this through conversation.

Here's how it actually fits into a day.

Morning: "Jarvis, What Have I Been Working On This Week?"

This is genuinely how I start sessions now.

I ask out loud, and Jarvis answers: "You've been tinkering with thumbnail work this week, sir — the thumbnails log shows recent edits there."

It knows because every conversation and build is logged to my Obsidian memory, which I call the memory galaxy.

That's use case one: a personal assistant with actual memory of your work, not a goldfish chatbot.

Use case two follows straight from it — the second brain itself.

Everything I do with the system gets saved into a log I can revisit, which means nothing gets lost between sessions.

I built that part following the approach in my Hermes second brain setup.

Midday: Building Whatever I Need, By Voice

When I need a tool, I don't search for an app anymore.

I describe it.

That's how my builds library filled up with these.

A habit tracker I actually use to stay consistent.

A meditation timer for breaks between deep work blocks.

A Japanese flashcard game, because I wanted one and it took minutes.

A full website, end to end.

Even videos — it can create those too.

That's use cases three, four and five right there: app building, content creation, and rapid prototyping without touching code.

And remember, this is the worst it's ever going to be.

🔥 Want to build your own version of this? Inside the AI Profit Boardroom, the Agent OS section gives you the install zip, the exact prompts, and step-by-step video tutorials we update daily. Plus weekly coaching calls and 3,000+ members to compare setups with. → Get the full setup

Afternoon: Hands-Free Computer Control

Use case six is computer and browser use, and it's the one that surprises people most.

I say "Jarvis, open up juliangoldie.com" and it replies "Opening Julian Goldie's site now, sir" while the browser actually opens.

The agent isn't stuck inside a chat box — it can operate the machine.

There's also a wake word, so saying "Jarvis" or "Hermes" switches it on from anywhere in the room.

I leave it running in the background like a wall-mode assistant, ready whenever I need it, and I can type instead of speak whenever that's easier.

If you'd rather run Hermes through a browser interface, the WebUI route works brilliantly too — here's that setup.

Use Case Seven: Running A Team, Not A Tool

When I say "Jarvis, show me my team", it pulls up every agent in the system — Claude, OpenClaw, Hermes, all of them together.

There's a mission control view over everything.

Paperclip is built in with AI agent teams for getting real work shipped.

And the agent group chat lets Hermes talk directly to Claude and Gemini.

Honestly, for pure implementation speed, the team tools like Paperclip get more done faster than the voice assistant does.

The Jarvis layer is the fun front end; the agent teams are the engine room.

My paperclip and Hermes agent post goes deeper on that side.

Use Case Eight: MCPs, Models And Goal Mode

Hermes links with MCPs, so external tools and data sources plug straight in.

You can manage models from the dashboard, switch between auto and agent mode, and flip between the control room, goal mode and plain chat mode depending on the job.

Goal mode is the one to learn: you set the outcome and let the agent work, instead of micro-prompting every step.

This is where Hermes agent use cases shift from "fun" to "infrastructure".

Use Case Nine: The Free Local Version With Ollama

Here's the one for anyone watching their API spend.

I run a similar agent factory setup on Qwen 2.5 Coder with Ollama — a completely free local model.

I can speak or type to it, watch it build things live, and pay nothing per token.

Local models are getting better and better, and when you think about what that means, it's genuinely mind-blowing.

My Hermes with Ollama setup guide covers the install, and this video shows the one-click route.

My Honest Ranking Of These Hermes Agent Use Cases

Here's how the nine stack up after months of daily use.

Rank	Use case	Why it earns the spot
1	Obsidian memory galaxy	Compounds daily — every session makes the system smarter
2	Agent teams + Paperclip	Fastest way to actually ship work
3	Voice app building	Non-coders get real software from sentences
4	Goal mode + MCPs	Turns the agent into infrastructure
5	Computer + browser use	Hands-free control that actually works
6	Free Ollama factory	Zero cost removes every excuse
7	Jarvis voice assistant	Most fun, most impressive, least essential
8	Content + video creation	Useful but still maturing
9	Jokes on demand	"She wouldn't commit to a schema" — worth it anyway

I'll be honest: sometimes it doesn't work, and sometimes it's not smooth.

But the trajectory matters more than the rough edges, and the trajectory is straight up.

🔥 Want my exact daily workflow, prompts and configs? The AI Profit Boardroom has the full Hermes Agent OS with daily updates, new tutorials added constantly, and help available 24/7 — I answer questions in there personally. 3,000+ members building alongside you. → Join the Boardroom

How To Copy This Workflow Without Overwhelm

Don't try to build all nine use cases this week.

Start with a plain Hermes install — my how to setup Hermes agent guide gets you running.

Add the Obsidian memory in week one, because it makes everything else compound.

Add voice and the Jarvis layer once the foundations work.

Then bolt on agent teams when you have real multi-step projects to run.

Each layer makes the next one more valuable.

FAQ: Hermes Agent Use Cases

What are the most common Hermes agent use cases?

Voice assistance, building apps and websites without code, computer and browser automation, persistent memory with Obsidian, and multi-agent teamwork. Most people start with chat and memory, then expand.

Do I need coding skills for these Hermes agent use cases?

No — I built a habit tracker, website, flashcard game, meditation timer and the entire Jarvis assistant without writing code. You describe outcomes and the agent handles implementation.

What hardware do I need to run Hermes agent locally?

A reasonably modern machine handles it — the free route uses Qwen 2.5 Coder on Ollama, which runs locally without API costs. Heavier models benefit from more RAM.

Can Hermes agent talk to other AI models?

Yes — the agent group chat connects Hermes with Claude and Gemini, and the dashboard lets you manage which models handle which jobs.

Is the Hermes Jarvis voice assistant practical or just a demo?

Both, honestly. It's the most fun part of my setup, but for raw implementation speed the agent teams and workspace tools get more done. The voice layer earns its place as the hands-free front end.

How does Hermes agent remember past conversations?

Conversations link to an Obsidian vault — every session and build is logged automatically, so the agent can answer questions like "what have I been working on this week?" from real data.

About Julian

I'm Julian Goldie — AI entrepreneur, SEO expert, and founder of the AI Profit Boardroom (3,000+ members). I help business owners scale with AI agents, automation, and SEO.