Alex Finn compares Hermes Agent with OpenClaw and says Hermes has become his primary tool because its updates have been more reliable, its model support arrives quickly and its roadmap feels clearer. Alex Finn still uses OpenClaw for shorter, more conversational responses, but prioritizes Hermes for repeatable work.
Alex Finn says he replaced Claude with GPT-5.6 inside Hermes Agent because the newer model performed better for his tasks, used computer and browser controls more effectively, and worked through an existing subscription instead of a costly API workflow. He recommends the medium reasoning setting as a balance between capability, speed and instruction following, with low reasoning as an option for tighter usage limits.
Alex Finn demonstrates three practical uses: selecting and managing local models for a home AI lab, operating Unity as an autonomous game-development environment, and monitoring retail pages for price changes. These examples support his broader point that model choice matters most when it improves reliable tool use across a concrete agent workflow.
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