Vercel AI Gateway and Vercel Sandbox now available on Hermes Agent

Hermes Agent can now use Vercel AI Gateway as its inference layer and run its agent commands in an isolated Vercel Sandbox microVM. Access 200+ models through AI Gateway at no markup on tokens, and every request appears in your AI Gateway dashboard with the rest of your usage and spend.

Copy link to headingSetup

Install Hermes, then pick Vercel AI Gateway in the setup wizard:

# Install Hermes
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash

# In the setup wizard: pick Vercel AI Gateway, paste your key
# Pick Vercel Sandbox to run each agent command in a microVM

# Already have Hermes? Update first, then switch either one:
hermes update
hermes setup model      # pick Vercel AI Gateway
hermes setup terminal   # pick Vercel Sandbox

# Verify
hermes doctor

The picker pulls live model availability and current pricing from AI Gateway. For the full walkthrough, see Configuring Hermes.

Copy link to headingRunning commands in Vercel Sandbox

The Vercel Sandbox backend is opt-in. Commands run locally until you set terminal.backend to vercel_sandbox; with it enabled, agent commands run in a cloud microVM with a workspace root of /vercel/sandbox instead of on your machine. The backend supports node24 (default), node22, and python3.13 runtimes. For local development, use VERCEL_OIDC_TOKEN. Run vercel link and vercel env pull to get a development token.

To get started, read the Hermes documentation and the Vercel Sandbox documentation, or browse AI Gateway models.