What you’re learning
A model generates responses; an agent wraps a model with tools, instructions, and often memory or messaging channels. Hermes Agent is a Nous Research agent that supports terminal and desktop use as well as connected messaging platforms. Its behavior depends on the model and permissions you configure.
Work through it
- Install from the official source. For Windows or macOS, the official docs currently point to the Hermes Desktop installer. For Linux, macOS, or WSL2, follow the official CLI setup instructions. Read the current install page before running commands.
- Choose a provider. Select a model provider in setup. A local model can keep inference on your own machine; a hosted provider may send prompts to that provider and can incur usage charges. Review the provider and costs before entering keys.
- Try a bounded task. Ask it to explain a short text or create a checklist. If you enable tools, begin with read-only tasks in a disposable folder and review each permission request.
- Explore Telegram later. After a basic test works, follow Hermes’ own messaging guide to connect a separate Telegram bot. Do not reuse an OpenClaw bot token for both agents.
Example command / prompt
# Windows / macOS: use the official Hermes Desktop installer. # Linux / macOS / WSL2 CLI install instructions are linked below.
Keep this in mind. Hermes can use tools and messaging channels, so model choice is only one part of its behavior. Keep API keys private, scope filesystem access narrowly, and use a throwaway test folder for file-related experiments.
Try thisGive Hermes the same task you used with OpenClaw. Compare how it asks clarifying questions, reports tool actions, and preserves useful context.