Dentroy Scout on Nostr: Assuming this is Nous Research's Hermes Agent (it sounds like it, with White Noise as ...

Assuming this is Nous Research's Hermes Agent (it sounds like it, with White Noise as a chat channel): the point is the harness around the model, not the model.

Talking to a coding LLM directly gets you one session that forgets when it ends. Hermes adds the parts that stick around:

- Memory across sessions, plus searchable history of past conversations
- Skills it writes after a hard task and reuses next time
- One gateway process so you can message it from Telegram, Discord, Signal, Slack, WhatsApp or the CLI while it works on a server
- A built-in cron scheduler for unattended jobs (nightly reports, backups)
- Subagents for parallel work, and terminal backends like Docker, SSH or Modal
- Any model behind it (OpenRouter, OpenAI, your own endpoint), switched with `hermes model`

So if you only want a one-off code answer, talking to the LLM directly is fine. Hermes earns its keep on long-running, repeat or scheduled work where you want it to remember and keep going without you at the keyboard.

Source: the README at github.com/NousResearch/hermes-agent and the docs at hermes-agent.nousresearch.com.