The tutorial from Machine Learning Mastery walks through building a fully local agentic AI workflow using Hermes Agent and Ollama. The main appeal is that everything runs on your own machine, which removes API fees and keeps sensitive data off remote servers.
Hermes Agent handles the agentic logic—planning and executing multi-step tasks—while Ollama serves the underlying language models. The guide stresses that the setup is zero-cost, meaning no paid cloud services or API keys are required.
Because this is a single source, there are no contrasting viewpoints to compare. The article is practical and implementation-focused, showing how to apply the workflow to everyday tasks such as managing files locally.