Agent OS Hermes is the research engine I now run at the core of my 2026 stack, and it is the single layer that turned my disconnected AI tools into something that actually compounds. I built mine in a weekend on top of an open-source Hermes install, plugged it into my Obsidian vault, and pointed it at the same goals I drive my agency with. The result is a free, local research layer that runs on schedule and feeds the rest of my Agent OS.
This article is the open-source angle on Agent OS Hermes. I will walk you through why Hermes is the right research engine, how the layers fit together, the free $0 stack anyone can build, and how to grab the Hermes-specific bonuses inside AI Profit Boardroom.
Want the full Hermes Agent OS pack as a bonus? Inside the AI Profit Boardroom, I include the Hermes Money Machine, the Hermes Quick Deploy Kit, the Hermes Swarm Playbook, Hermes Agent OS with 10 revenue builds, and the Hermes 30 Day Roadmap. → Get inside
Why Hermes Is The Right Research Engine For Agent OS
Most founders treat AI like a chatbot, but Agent OS treats AI like a team of specialists. Hermes is the specialist that runs research, tool calls, and multi-step workflows in the background while the rest of your stack handles planning and execution.
Hermes is open source, which means the whole engine sits on my machine for free and I can customise every part of it. That matters because the research layer is the layer that touches your most sensitive data — your goals, your client notes, your strategic thinking. I would rather have that running locally than pay a hosted vendor to look at it.
The skills and plugins library is the second reason Hermes wins this slot. I can drop in a Reddit research skill, a competitor scraper, a content drafting plugin, or a custom skill I wrote in an hour, and Hermes just runs them. That is a research engine I can extend forever without writing a full framework from scratch.
The Kanban task lists give Hermes something most agents do not have. It can break a research brief into discrete tasks, work through them in order, and let me see what is in progress, what is blocked, and what is done. That is genuinely useful when I am driving five research streams at once and need to see all of them at a glance.
What Hermes Actually Does Inside Agent OS
Hermes runs the tool calls, the Kanban-style task lists, the scheduled multi-step workflows, and the deep research jobs that take longer than a single chat exchange. It is the layer that goes off and does the actual work while my Claude layer plans the strategy.
Inside my Agent OS dashboard, Hermes shows up alongside Claude and OpenClaw with its own status indicator, model picker, and direct chat panel. I can fire a research brief into Hermes from the dashboard and watch it work through the Kanban board in real time. Every exchange logs straight back to my Obsidian vault so the research compounds across sessions.
The schedule-driven runs are the part most people sleep on. I can tell Hermes to run a competitor research workflow every Monday morning, a content gap analysis every Thursday, and a Reddit pain-point scrape every day at 6am. The whole research layer keeps moving while I sleep, and every output lands in Obsidian ready for me to action when I open my laptop.
You can see how this stacks against a Claude-only setup in my Hermes Agent OS breakdown.
How To Wire Hermes Into Your Agent OS
The wiring is simpler than most people expect. There are five steps that take you from a fresh laptop to a fully working Hermes research engine inside your Agent OS, and none of them require a serious dev background.
Step one is the Hermes install itself. Hermes is open source, free, and runs locally — you clone the repo, follow the installer, and you have a working agent in roughly ten minutes. The full walkthrough lives in my Hermes Agent Installation Guide 2026.
Step two is connecting Hermes to your Obsidian vault. This is the move that turns Hermes from a generic agent into something that knows your business. You point Hermes at the vault, give it read access to your notes, and from that moment every Hermes output is informed by your real context.
Step three is registering Hermes as the Research agent inside your Agent OS dashboard. If you have built your own dashboard you do this via the agent config screen — if you grabbed mine inside AIPB the slot is already wired up and waiting.
Step four is configuring the skills. I run Hermes with a Reddit research skill, a competitor scraping skill, a content drafting skill, and a lead enrichment skill. You can grow that library over time as you find more workflows to automate.
Step five is the scheduler. You define which workflows run on which days, at which times, and Hermes handles the rest. The research layer is now running 24/7 in the background.
The Hermes + OMI + Obsidian Self Layer
This is the part of the stack that I think is the real founder cheat code, and it sits on top of Hermes inside Agent OS. The Self Layer is what makes the difference between an agent that gives generic answers and an agent that operates like a chief of staff who has known your business for years.
OMI records my screen and microphone all day in the background. Notes get exported to my Obsidian vault automatically. Hermes reads that vault every time I give it a research brief. The result is a Hermes that knows what I am working on this week, what I said in my last coaching call, what I sketched out on the whiteboard yesterday, and what my Q2 priorities are.
The example from the video sums it up. I asked Hermes "based on my Obsidian vault, give me some ideas on what I should automate today" and it came back with personalised automation ideas pulled from my Goldie Agency notes, my AIPB community notes, and my current Hermes build work. The same prompt to a generic AI produces a listicle. Through Agent OS, it produces board-meeting-quality recommendations.
The deeper write-up of this layer lives in OMI Obsidian and in Hermes AI Agent Framework 2026.
Hermes As An MCP Server
You can also run Hermes as an MCP server, which is the move that bridges Hermes into your wider stack instead of leaving it as a standalone agent. When Hermes is running as MCP, other apps can call it like any other tool — Claude Desktop can fire research jobs at it, your IDE can pull context from it, and OpenClaw can route tasks to it without any custom integration code.
This is genuinely powerful for solo founders because it means your research layer is not stuck inside one dashboard. The same Hermes instance is doing research jobs for Claude in the morning, feeding context to OpenClaw at lunchtime, and serving an MCP call from your terminal in the afternoon. One engine, every surface.
I cover the full MCP setup in Hermes MCP Server — that is the post to read if you want the wiring guide.
The Free $0 Hermes Stack
This is the part I find most exciting about Agent OS Hermes. The entire research layer can be built for zero pounds, zero subscriptions, and zero hosting fees. I have not seen another setup that gives you this much capability at this price point.
Hermes itself is open source, so the agent is free. Step 3.5 Flash on OpenRouter gives you a free API tier that handles the model side without a paid plan. Obsidian is free for personal use, which covers the vault. Your laptop covers the hosting. Total cost to run the full Agent OS Hermes stack is zero.
That is the answer to the most common founder objection. People assume a "real" agent OS costs hundreds of pounds a month to operate. The honest truth is anyone can build this for £0 and run it locally on the hardware they already own. I cover the wider stack thinking in Agent OS and in What Is Agent OS.
Where Claude Fits Around Hermes
Hermes is the research layer, but Hermes is not the whole stack. Around it sits Claude as the planning layer and OpenClaw as the execution router, which together form the Goldie Mission Stack I run my whole business on.
Claude handles the strategic thinking. When I have a complex brief or a question that needs founder-level reasoning, that goes to Claude first. Claude then breaks the brief into research tasks and hands them to Hermes via the Agent OS dashboard.
OpenClaw is the router. Once Hermes has done the research, OpenClaw figures out what happens next — which agent picks up the output, which workflow gets triggered, which tool gets called. Hermes does the research, OpenClaw moves the work between agents, Claude keeps the strategic view.
I unpack the comparison between this stack and Claude-only setups in Agent OS Claude and across AI Agent OS.
A Real Hermes Workflow From This Week
A real example from this week makes the abstract concrete. I opened Agent OS, typed a research brief into Hermes, and went to make a coffee.
The brief was "find the top five Reddit threads from this month about people complaining about AI agent setup, summarise the pain points, and draft a blog outline that addresses the top three." Hermes broke that into Kanban tasks — search Reddit, scrape threads, summarise pains, draft outline — and worked through them in order.
By the time I sat down with my coffee, Hermes had finished the scrape, summarised the top pains, and posted a draft outline back into my Obsidian vault. Total wall-clock time was about twelve minutes. Total founder time was about ninety seconds typing the brief. That is the leverage Agent OS Hermes unlocks.
Inside The AI Profit Boardroom Hermes Bonuses
If you want to skip the manual build and get the whole Hermes Agent OS as a ready-to-install package, that lives inside the AI Profit Boardroom as a stack of bonuses I keep updating each month.
The Hermes Money Machine is the offer template I use to monetise Hermes-powered research. The Hermes Quick Deploy Kit is the install pack that gets you live in under an hour. The Hermes Swarm Playbook covers the multi-agent patterns when one Hermes instance is not enough. Hermes Agent OS with 10 revenue builds is the pack of business builds I have shipped on top of Hermes that you can copy. The Hermes 30 Day Roadmap takes you from install to full Goldie Mission Stack live on your machine.
Membership is locked at £59 per month with the twin guarantee, which makes trying it basically risk-free. Three thousand plus members are already inside.
Want hands-on coaching to wire your own Hermes Agent OS? AIPB runs five weekly live coaching calls with me plus daily Q&A. → Join here
Hermes Inside Agent OS Vs Hermes On Its Own
| Capability | Hermes Standalone | Agent OS Hermes |
|---|---|---|
| Single agent chat | Yes | Yes |
| Obsidian vault context | Manual | Built-in |
| Coordination with Claude | None | Via dashboard |
| Coordination with OpenClaw | None | Via dashboard |
| Kanban task view | Yes | Yes |
| Goals layer | No | Yes |
| Scheduled workflows | Yes | Yes |
| MCP server mode | Yes | Yes |
| Local-first | Yes | Yes |
| Cost to run | £0 | £0 |
The right-hand column is the version that compounds across your business instead of staying stuck as a single agent.
FAQ — Agent OS Hermes
What is agent os hermes in plain language?
It is the research layer of an Agent OS built on top of the open-source Hermes agent. Hermes runs tool calls, Kanban task lists, skills, plugins, and scheduled workflows while Claude plans and OpenClaw routes.
Is Hermes actually free to run?
Yes, fully. Hermes is open source, Step 3.5 Flash on OpenRouter has a free API tier, and Obsidian is free for personal use. Total cost to run the stack is £0.
How is agent os hermes different from running ChatGPT?
ChatGPT is a single chat surface with no memory between sessions and no scheduling. Agent OS Hermes runs research workflows on schedule, pulls context from your Obsidian vault, and coordinates with Claude and OpenClaw through a shared dashboard.
Do I need to be technical to wire Hermes into Agent OS?
No. The installer handles most of it and the dashboard wiring is a config screen. If you want to skip the manual work entirely, the AIPB Hermes Quick Deploy Kit ships a working install.
Can Hermes be used as an MCP server?
Yes. Hermes can run as an MCP server so other apps can call it as a tool — Claude Desktop, OpenClaw, your IDE, and any other MCP-aware client can all hit the same Hermes instance.
What workflows are best to start with?
Reddit pain-point scraping, competitor research, content gap analysis, and lead enrichment are the four I run daily. They all benefit from Obsidian context and they all save several hours a week.
About Julian
I'm Julian Goldie — AI entrepreneur, SEO expert, and founder of the AI Profit Boardroom with three thousand plus members. I help business owners scale with AI agents, automation, and SEO.
- Founder of a seven-figure SEO agency, Goldie Agency
- Author of multiple AI automation playbooks
- Five weekly live coaching calls inside the Boardroom
- Free AI training inside the AI Money Lab
→ Get my best AI training inside the AI Profit Boardroom
Latest Updates
- Hermes Agent OS — the founder-view companion piece to this one.
- Hermes MCP Server — the MCP server wiring guide.
- Hermes AI Agent Framework 2026 — the framework view of the research layer.
Also On Our Network
- 🌐 Read on aiprofitboardroom.com
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- 🌐 Read on aisuccesslabjuliangoldie.com
- 🌐 Read on aimoneylabjuliangoldie.com
Related Reading
- Agent OS — the wider Agent OS thesis.
- What Is Agent OS — the beginner explainer.
- Hermes Agent Community — where to plug in with other Hermes builders.
- Agentic AI OS — the broader agentic OS view.
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Agent OS Hermes is the open-source research engine that turns a pile of disconnected AI tools into one compounding 2026 stack — install it, wire it into your dashboard, point it at your Obsidian vault, and let agent os hermes do the research while you ship the work.