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.
Install Hermes, then pick Vercel AI Gateway in the setup wizard:
The picker pulls live model availability and current pricing from AI Gateway. For the full walkthrough, see Configuring Hermes.
The Vercel Sandbox backend is opt-in. Commands run locally until you set
To get started, read the Hermes documentation and the Vercel Sandbox documentation, or browse AI Gateway models.
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Setup
Install Hermes, then pick Vercel AI Gateway in the setup wizard:
The picker pulls live model availability and current pricing from AI Gateway. For the full walkthrough, see Configuring Hermes.
Running 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.
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