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Aurora

AI Gateway built in Go

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Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora translates to Anthropic's wire format automatically. No format conversion code in backend.It helps: - track costs per customer/team - switch models and providers without changing code - debug requests and responses flows more easily - reduce costs with exact and semantic cachingHow its different than other gateways: - auto-discovers providers models - provider pools with automatic failover switch - built in guardials, audit logging with export, analytics, admin dashboard - model aliases, regional deployment to reduce latency. - can be used in infra directly and admin endpoints let control everything, creating managed api keys on user onboard and more.The oss version (Apache 2.0) includes everyhting. Enterprise adds SSO, RBAC, and tenant isolation.npm install -g iaurorawebsite: https://aurorallm.onlinefeedbacks are welcome!

HN · launched Aug 1, 2026 · 7 upvotes (top 59%) · 0 views

Niche: ai api gateways and proxies · 336 launches, 7 in the last 7 days ▼ -46% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes A standalone Go reverse proxy that translates JSON payloads between OpenAI and Anthropic formats and tracks usage metrics is a standard systems engineering task well-suited for AI generation.

Discussion

2 comments analyzed.

Concerns raised: Risk of serving stale or incorrect cached results, How semantic cache avoids embedding-based false positives

Feature requests: Configurable similarity threshold for semantic cache

Competitors

Other products that read as similar to this one : 244 launches clear the similarity bar, closest 8 shown.

Attention rank: #137 of 245 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 261 days after the earliest competitor.

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