How to Run Hermes Agent with an OpenAI-Compatible Endpoint
Terminal agents are useful only when they can keep a conversation going, call the right model, and survive real work instead of demo prompts. Hermes Agent is one of those tools: it runs from the terminal, supports persistent memory and skills, and can connect to a custom OpenAI-compatible provider. This guide walks through a practical setup that points Hermes at Ace Data Cloud through its OpenAI-compatible Chat Completions endpoint. What you can do With this setup, Hermes uses Ace Data Cloud as a custom model provider. In practice, that means you can: Start Hermes locally with hermes chat after configuring a custom endpoint. Store the API token separately from the provider configuration using ~/.hermes/.env . Route Hermes requests through https://api.acedata.cloud/v1 using transport: chat_completions . Verify the integration with a direct POST /v1/chat/completions curl request. Switch between supported model IDs such as claude-opus-5 , gpt-5 , gemini-2.5-pro ,...