GoModel
AI gateway written in Go with a unified OpenAI-compatible API for multiple LLM providers, USD cost tracking, budgets, usage analytics, guardrails, caching, and an admin dashboard.
Actively maintained with regular releases.
Commit activity more than 60% of tracked projects; popularity more than 37%. How this is calculated.
Commits, last 11 months
| Stars | 1.2k |
|---|---|
| Latest release | v0.1.98 · 26 Sept 2026 |
| Repo updated | 26 Sept 2026 |
| Licence | MIT |
| Built with | Go, Docker |
Is GoModel actively maintained?
GoModel is under active development: 431 commits landed over the last 11 months, averaging roughly 126 commits a month in the most recent quarter.
Activity is accelerating: the last quarter carried 613% more commits than the one before it.
The most recent tagged release, v0.1.98, shipped within the last month — a current, installable version exists today.
GoModel ranks #12 of 14 tracked generative artificial intelligence (genai) projects. Several better-maintained options exist in the same category — they are listed below.
What GoModel actually does
GoModel is an AI gateway written in Go that provides a single, OpenAI-compatible API endpoint for multiple large language model providers. It includes built-in cost tracking, usage analytics, budget controls, request guardrails, response caching, and a web-based admin dashboard.
Best fit: Teams managing multiple upstream LLM providers who need centralised cost control, usage monitoring, and routing behind a standardised API interface.
Worth knowing: As a relatively young project with moderate activity, it may lack the extensive community ecosystem and edge-case testing found in older, more established API gateways.
Deployment notes
Being a Go application packaged via Docker, it typically requires persistent storage for analytics data and a standard reverse proxy to handle TLS termination.
Links
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