ai toolsAn open-source AI gateway written in Go that decouples applications from specific LLM providers. It functions as a unified, OpenAI-compatible proxy.
An open-source AI gateway written in Go that decouples applications from specific LLM providers. It functions as a unified, OpenAI-compatible proxy.
GoModel is an open-source AI gateway written in Go that decouples applications from specific LLM providers. It functions as a unified, OpenAI-compatible proxy, allowing businesses to switch models and vendors through configuration changes rather than code updates. The gateway centralizes routing, observability, and caching to address provider lock-in, fragmented usage tracking, and redundant prompt costs.
GoModel supports OpenAI, Anthropic, Gemini, Groq, OpenRouter, xAI, Azure OpenAI, Oracle (experimental), and Ollama, routing to any OpenAI-compatible backend through custom base URLs. It maintains full OpenAI API compatibility so existing SDKs work with only a base URL change. Built-in monitoring includes an admin dashboard and Prometheus metrics, while data persistence options span local storage, PostgreSQL, MongoDB, and Redis.
GoModel is open-source under the MIT License and free to self-host as a single binary or Docker container. No managed hosting tiers or paid plans are publicly listed. Teams of 10–100 employees incur no licensing fees beyond their own infrastructure and LLM provider expenses.
“GoModel is a promising open-source AI gateway built in Go — lightweight, fast, and Apache 2.0 licensed. But limited provider support and sparse documentation mean it's not production-ready for most enterprises yet. It is production-ready if you have a Go-capable team, primarily use OpenAI/Anthropic/Ollama, and want full control of your AI gateway without vendor lock-in. If you need broad provider support, a UI, or production-grade documentation, LiteLLM remains the better choice today. Watch it as an internal infrastructure project if you're building AI systems and want to contribute to an open-source project with solid architecture.”
GoModel is ideal for Go-capable teams primarily using OpenAI/Anthropic/Ollama who want full control of their AI gateway. Use it if you need to avoid vendor lock-in, have Go expertise for potential customization, and can accept limited provider coverage. If you need 100+ provider support, a UI, or production-grade documentation, LiteLLM remains the better choice today. Consider GoModel as a long-term foundation — the architecture is solid and it needs ecosystem growth more than fundamental redesign.
GoModel is a promising open-source AI gateway built in Go — lightweight, fast, and Apache 2.0 licensed. But limited provider support and sparse documentation mean it's not production-ready for most enterprises yet.
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