EONYX is a terminal AI agent for working with code, written in Go. It connects directly to any OpenAI-compatible API (OpenAI, OpenRouter, DeepSeek, Moonshot, local Ollama / llama.cpp / LM Studio) — no external services, no telemetry, no OAuth. One process, one binary, everything local. Here: installation, the first run, and the full configuration.

One of the key differences of EONYX is that it is not tied to the cloud. Since the agent talks to any OpenAI-compatible API, you can point it at a local model server and work fully offline: the code never leaves the machine, no key is needed, and neither is the internet.

EONYX and Claude Code are both terminal AI agents for working with code, and their workflow is similar: MCP, skills, hooks, subagents, plan mode, sessions. The difference is in the architecture and the freedom. Claude Code is tied to the cloud and to Anthropic models; EONYX is not. Here is what that gives you in practice.

EONYX talks to any OpenAI-compatible API. A provider is the way to reach a backend, a model binds an id to a provider. Here is how to connect cloud providers, hide secrets and configure price, context window and retries.