01What Does Run Hermes Agent Free Mean?

Running Hermes agent free means you can use the Hermes AI agent engine on your own computer without paying for cloud APIs or needing an internet connection. It is a team of AI agents that work together locally to automate tasks and build projects for you.

In this episode, Julian Goldie shows how the local Hermes engine works. You give it a goal in text or voice. Hermes breaks it down into steps, runs tools, and creates the project.

Everything happens on your machine, so your data stays private and you pay nothing per token.

The key loop is plan a step, run a tool, check the result, and plan the next step. That makes it an agent, not just a chatbot. It also verifies that files are really created before it says done.

02Key Features of the Local Hermes Agent Engine

The local Hermes agent engine has several features that make it useful and powerful. It is private because no data goes to the cloud. It is free because you run local models.

And it works offline so you can use it without Wi-Fi.

  • Team of agents on a Kanban board that work together 24/7.
  • Voice or text goal input—just tell it what you want.
  • Workspace to see everything built, with options to give feedback or refresh.
  • Ability to assign new tasks and keep building teams.
  • Supports local model runners like Ollama, LM Studio, and NVIDIA.

You can also change the model for each API and create separate agent profiles. There is a studio for generating images, video, and voice. Hermes Jarvis is a voice-activated version, and you have a session section to manage your work.

03How to Set Up Hermes Agent Locally Step by Step

Setting up the local Hermes engine is straightforward. Julian explains that you need two pieces: a local model that fits your Mac and a Hermes profile pointed at that model. Here is the process he shows.

  1. Install and run Ollama in the background on your Mac.
  2. Choose a local model that has a big enough context window. Julian recommends Llama 3.1 8B or GPT-OSS for Mac Studio.
  3. Copy the command to run that model inside your terminal with Hermes.
  4. Create a dedicated Hermes profile for your local model so you can keep it ready to go.
  5. Point the profile at the local model and set the context window.
  6. Use the Kanban board to give the team a goal and start building.

The whole setup takes about 10 minutes. Llama 3.1 8B is only 5 gigabytes and runs on most Macs. It is fast and can use tools instead of faking it.

04How to Use the Hermes Agent Kanban Board

Using the system is simple. You give it a goal, like "build an SEO blog about OpenClaw." The agent Kanban board assembles a list of ideas and steps. Then you click "run the team" and the agents start building.

You can watch them work on the board in real time. After they finish, you go to the workspace to see the files and prompts. You can open items full screen, give feedback, and ask for improvements.

The team runs as a loop until the job is done.

For example, Julian shows a landing page built from a single sentence. The model runs entirely on a Mac with no internet and no API costs. You can also talk to your agents in the chat section, change models, and create separate agent profiles.

  • Use the Kanban board to visualize team work.
  • Workspace shows everything built with each model.
  • Give new tasks anytime to keep the teams building.

05Results and Examples of Local Hermes Agents

Julian shows real examples of what local agents built. He says he built the system that morning and it created a landing page and other content. Every example came from a single sentence.

The model ran entirely on a Mac with no internet and no API costs.

He also shows a community member named Daniel who generated something using an RTX 5090. That shows what is possible with a really good setup. Julian tests many local models and says that unless you have a strong setup, many are bad and slow.

The two that worked for him on a Mac Studio are GPT-OSS and Llama 3.1 8B.

The system checks its own work. If the agent says it built a file but the file is not there, the engine tells you and runs again. That prevents the common problem of local models claiming they did something when they did not.

06Tips, Limits, and Mistakes to Avoid

Local Hermes agents are great for running commands, file work, and quick code. They are not great for super giant complex builds. A small local model is like a fast helper, not a frontier model.

So give heavy jobs to a cloud model, and use local agents for the smaller tasks.

One common mistake is running a model too big for your hardware. That makes it slow. Pick a model that fits your setup.

Another mistake is not keeping the model ready. If you swap or shut down local models often, it slows everything down. Keep Llama 3.1 ready to go at any time.

Also, be careful that local models sometimes say they built something when they did not. The system checks the disk to verify. If nothing lands in the workspace, it runs again.

Julian recommends using the lightweight models he showed if you do not have a powerful machine.

  • Pick a model that fits your Mac.
  • Keep the model loaded to avoid slowdowns.
  • Use local agents for simpler tasks, not massive builds.
  • Trust but verify—check that files really exist.

07Why Run Hermes Agent Locally and Who It's For

Running Hermes agent locally matters because cloud agents use a lot of tokens. Every command and file goes to someone else's server, and you pay per token. Without internet, the agent stops.

You also get rate limited and cut off mid-job, like with Claude. When Fable 5 got taken down, many workflows ended.

With the local way, every step runs on your Mac. Nothing is sent out. It is free to run all day, works on a plane or in a cafe with Wi-Fi off, and shows you exactly what it built.

You own the agent and can run it 24/7.

This is for anyone who wants privacy, control, and no API costs. Julian says you do not need to be a coder. He shows over 183 wins and testimonials from AI Profit Board members.

Even non-coders get results by talking to AI like a friend. The agent operating system includes many tools like Paperclip, video agents, music agents, and more, all inside the AI Profit Board community.