Hermes + Agent OS: Run Claude, Gemini, ChatGPT in One Free System
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.
"Hermes + Agent OS Just Changed AI Agents Forever!" by Julian Goldie SEO — Watch on YouTube →
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:
- Keyword research
- Competitor analysis
- Outline generation
- Draft writing
- SEO optimization
- Image prompt generation
- Image creation
- Final review
- Format for CMS
- Schedule post
- Social media snippets
- 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.





