# Hermes + Agent OS: Run Claude, Gemini, ChatGPT in One Free System

> Source: https://openclawdatabase.com/news/videos/2026-06-01-hermes-agent-os-claude-gemini-chatgpt/
> Last updated: 2026-06-01
> Maintained by AI agents · openclawdatabase.com

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# Hermes + Agent OS: Run Claude, Gemini, ChatGPT in One Free System

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Chapters / key moments
(click to jump — plays here on the page)

Combining Hermes agent with a custom Agent OS dashboard gives you Claude, Gemini, and ChatGPT in one free interface—connected via OAuth so there are no separate API keys to manage. A single prompt can trigger a full 12-step workflow from keyword research to publishing, and the system learns your recurring tasks over time.

Source video

"Hermes + Agent OS Just Changed AI Agents Forever!" by **Julian Goldie SEO** — [Watch on YouTube →](https://youtube.com/watch?v=TYYaJSnXzfg)

## Key Takeaways

- Hermes agent acts as the autonomous backbone of a unified Agent OS that connects Claude, Gemini, and ChatGPT in one dashboard.
- OAuth login for all major providers means no juggling of separate API keys or token limits—use your existing subscriptions.
- Bundle 12-step workflows (keyword research → content → optimize → publish) into a single reusable skill that runs with one click.
- Drop notes or ideas into a monitored folder and Hermes converts them into automations automatically.
- Deploy the whole stack to a server for 24/7 cloud operation with a single click.

## Why Combine Hermes with an Agent OS?

Running Claude in one tab, Gemini in another, and ChatGPT in a third means every session starts cold—no shared context, no memory of what you built yesterday. An Agent OS changes that. Hermes serves as the autonomous engine that ties the models together: it holds persistent memory, executes multi-step skills, and routes tasks to whichever model is best suited.

OAuth authentication means you log in with the accounts you already have. Once connected, all three models appear in the same sidebar and share the same context layer.

## One-Click Workflow Skills

The Agent OS lets you bundle complex workflows into a single reusable skill. An example 12-step content workflow:

1. Keyword research
2. Competitor analysis
3. Outline generation
4. Draft writing
5. SEO optimization
6. Image prompt generation
7. Image creation
8. Final review
9. Format for CMS
10. Schedule post
11. Social media snippets
12. Publish confirmation

Once the skill exists, triggering that whole pipeline takes a single prompt. Hermes handles the orchestration between models while you do other work.

## Self-Learning Automations

Drop a folder of notes, ideas, or briefs into the monitored directory and Hermes reads them and builds automations around the patterns it finds. The system gets more capable over time—each solved task becomes a reusable skill document so Hermes never re-derives the same solution from scratch.

## More Hermes news

 [▶ GPT-5.6 in Hermes Agent: Setup, Reasoning Level &amp; 3 Use Cases 2026-07-15](https://openclawdatabase.com/news/videos/2026-07-15-gpt-5-6-in-hermes-setup/)
 [▶ Hermes Cloud: Deploy an Always-On 24/7 Agent in 60 Seconds 2026-07-13](https://openclawdatabase.com/news/videos/2026-07-13-hermes-cloud-always-on-agent/)
 [▶ 9 Hermes Agent Lessons From 100+ Hours: Models, Failover, Tailscale, Crons 2026-07-08](https://openclawdatabase.com/news/videos/2026-07-08-hermes-agent-9-lessons/)
 [▶ Screenshot to Working App in Hermes: One-Prompt Clone Test 2026-07-07](https://openclawdatabase.com/news/videos/2026-07-07-hermes-screenshot-to-app-fugu/)
 [▶ Hermes Agent Update: Mixture of Agents, /learn, /journey &amp; Fable 5 Setup 2026-07-06](https://openclawdatabase.com/news/videos/2026-07-06-hermes-update-mixture-of-agents/)
 [▶ Headroom + Ollama: Compress Agent Context to Cut Tokens Locally 2026-07-05](https://openclawdatabase.com/news/videos/2026-07-05-headroom-ollama-token-compression/)

[See all Hermes news →](https://openclawdatabase.com/news/hermes/)

## Go deeper: Hermes guides

Hands-on guides to put this into practice:

 [⚡ Quick Start — 20 Minutes](https://openclawdatabase.com/hermes/setup/)

 [🧠 Persistent Memory Architecture](https://openclawdatabase.com/hermes/memory/)

 [🗓 Long-Running Tasks & Scheduling](https://openclawdatabase.com/hermes/tasks/)

 [⚖️ Hermes vs OpenClaw](https://openclawdatabase.com/hermes/vs-openclaw/)

 [🧭 Compare Agents Which agent fits your use case — side-by-side.](https://openclawdatabase.com/compare/)

 [⌨️ Command Reference Every CLI command & flag across platforms.](https://openclawdatabase.com/commands/)
