01What is Hermes Workspace mission control?

Hermes Workspace mission control is a free, open-source app that turns your Hermes AI agent into a full command center. Instead of just a chat window, you get a complete workspace where you can talk to your agent, run terminal commands, browse files, manage memory, and control over 2,000 skills—all from one screen.

In plain English, it's a mission control for your AI agent. You run it on your computer, it's free, and you own all your data. This update is a new version called Hermes Workspace v2, and it brings a much nicer way to manage your AI agents compared to using the terminal or even the old Hermes v0.9 mission control.

02Key features of Hermes Workspace

Hermes Workspace comes with a lot of useful features. Here are the main ones shown in the episode:

  • Chat: You can talk to your AI agent directly inside the workspace, just like ChatGPT.
  • Memory: You can edit and manage your agent's memory files, so it remembers who you are and what you do.
  • Skills: Over 2,000 ready-to-use skills can be added to your Hermes setup.
  • File manager: You can browse, edit, and upload files in a clean interface.
  • Terminal: Run terminal commands directly from the workspace if you still want CLI access.
  • Visual views: Switch between grid, round table, or office views to watch your agents work.
  • Progressive web app: Install it on iPhone, Android, Mac, or PC—it works the same everywhere.

These features make it much easier to manage everything in one place.

03How to set up Hermes Workspace

Setting up Hermes Workspace is straightforward. Here are the steps shown in the episode:

  1. Go to the Hermes Workspace GitHub page.
  2. Choose between running it with Docker or locally (option b in the setup).
  3. Alternatively, use the one-click install option from the GitHub page.
  4. Let Hermes guide you through the setup—you can just ask Hermes in its chat to set it up for you.
  5. If you run into connection issues, use Claude Code to help fix the setup.
  6. Once installed, it will launch on localhost.
  7. Connect it to your Hermes gateway and select your model (e.g., local or cloud).

After connecting, you can send a test message to confirm it works.

04Using the main workspace views

Once set up, Hermes Workspace opens with a virtual office for your AI agents. You can change the view to a round table or a grid—these are the three main options. The office view is fun because you can watch your agents work together.

In the file setup section, you can manage all your files, edit them, and upload new skills. The operations section shows agents working together, and there's a conductor view that looks like a team working towards a mission.

The tasks section is a kanban board where you can assign tasks to agents. For example, you can create a new task like 'create an article about Hermes AI SEO', assign it to a specific agent, add tags, and put it in the to-do list. The agent will work on it in the background, and you can track progress as it moves from in progress to review to done.

05Profiles, memory, and skills management

Hermes recently launched a feature called profiles. This lets you create multiple AI agents in the same Hermes setup. Each profile can have its own number of sessions, skills, and contexts.

You can activate, switch between, or delete profiles easily—much simpler than managing them in the terminal.

The memory section lets you add new memories to your agent, like who you are and what you do. You can have multiple memory files and choose which one to use.

The skills section lets you add and manage all your skills. You can see all of them in one clean interface and add new ones as needed.

This makes it easy to keep everything organized and customize your agents without touching the terminal.

06Model switching and terminal integration

A big plus of Hermes Workspace is the ability to switch between models seamlessly. In the episode, they showed switching between local and cloud models, like Gemma for local or Gemma for cloud. You can switch between different AI models without any hassle.

You can also run the terminal inside the workspace if you want. This is useful if you prefer the CLI setup but want everything in one place. You can switch between chat, terminal, files, jobs, and scheduled tasks all from the same screen.

This flexibility makes it a powerful tool for both beginners and technical users.

07Comparison with Hermes v0.9 mission control

The default Hermes v0.9 mission control is cool but limited. It shows sessions, analytics, scheduled tasks, config files, skills, and keys, but it doesn't have a chat option. You can't talk to your agents directly from that mission control.

In contrast, Hermes Workspace looks much nicer and includes a direct chat. It also lets you switch between views and APIs effortlessly. While v0.9 is functional, Workspace is far more user-friendly for most people.

If you're not a developer or comfortable with CLIs, Workspace is the way to go.

08Tips, limits, and mistakes to avoid

Here are some tips and warnings from the episode:

  • If you're not technical, avoid the terminal-only approach—use Workspace instead.
  • If setup fails, use Hermes locally or Claude Code to fix it.
  • Remember that the one-click install might require upgrades.
  • Make sure you connect the gateway properly—otherwise the chat won't work.
  • Don't expect the same customization in v0.9 mission control—that's only in Workspace.
  • Use local models like Ollama or Atomic Chat to keep things free.

Following these tips will help you avoid common pitfalls and get your mission control running smoothly.

09Who should use Hermes Workspace and why it matters

Hermes Workspace mission control is for anyone who wants a clean, visual way to manage their AI agents. Whether you're a developer or not, it makes interacting with Hermes much more accessible. You don't need to understand complex terminal commands.

It matters because it gives you full control over your AI setup while keeping everything free and open source. You own your data, and you can run it locally or in the cloud.

It's a huge upgrade from the terminal or even the default mission control, and it's perfect for teams or individuals who want to scale their AI workflows.