Every AI project ends up reinventing the same wheel: API keys, provider SDKs, retry logic, cost tracking. Aurora, a new Show HN entry posted on August 1st, aims to kill that repetition by acting as an infrastructure layer for your LLM calls. Built in Go, it ships as a ~15MB binary with zero dependencies โ€” no Python environment, no Node_modules sprawl, just a single executable you can drop onto any server.

What Aurora Does

Aurora is a gateway that sits between your application and the major AI providers: OpenAI, Anthropic, Gemini, and more. It proxies requests to whichever backend you need, and โ€” critically for teams juggling multiple vendors โ€” it converts between their different request/response formats. That means you can write against one API contract and swap providers without touching your app code. Beyond simple routing, Aurora bundles the operational boilerplate that usually eats dev time: retry logic with backoff, centralized cost tracking per request or project, and a single place to manage API keys. The pitch is straightforward โ€” instead of wiring these concerns into every service you build, treat them as part of your infrastructure.

Why It Matters

The AI tooling space has exploded over the past year, but most solutions are heavy frameworks that require significant setup or lock you into a specific stack. Aurora's approach is refreshingly pragmatic: a compiled binary with no runtime dependencies means it can run anywhere โ€” bare metal, containers, edge functions โ€” and integrate via plain HTTP. That format conversion feature alone could save teams from the vendor-lock-in headache when model prices shift or new players enter the market. If you've ever had to rewrite an integration because Anthropic changed a field name while OpenAI added a parameter, you know how valuable that abstraction is.

Key Takeaways

  • Aurora is a Go-based AI gateway with no external dependencies and a ~15MB binary size.
  • It proxies requests to multiple providers (OpenAI, Anthropic, Gemini) and converts between their formats.
  • Handles the shared infra: API keys, retry logic, cost tracking โ€” so your app code stays clean.
  • Currently posted as Show HN with minimal adoption; expect early-stage rough edges but a solid foundation for builders.

The Bottom Line

Aurora looks like exactly the kind of boring infrastructure that serious teams need โ€” and Go is the right language for it. If you're tired of gluing together SDKs, this is worth a look before your next AI feature ships.