Show HN: Aurora – AI Gateway built in Go
Aurora is an AI gateway built in Go that allows users to access multiple AI providers through a single API, eliminating vendor lock-in. It supports 14 provider types, including OpenAI and Anthropic, and offers features such as routing, auto-discovery, and load balancing. The gateway also includes security and guardrail features, such as rate limiting, PII redaction, and prompt injection blocking, to ensure secure and controlled access to AI models.
- ▪Aurora is a self-hosted AI gateway that supports 14 provider types, including OpenAI and Anthropic.
- ▪The gateway offers auto-discovery, load balancing, and health-aware failover to ensure high availability and reliability.
- ▪Aurora includes security and guardrail features, such as rate limiting, PII redaction, and prompt injection blocking, to ensure secure access to AI models.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,178 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/aurorallm/aurora |
| Publication time | Sat, 01 Aug 2026 13:56:31 +0000 |
| Retrieval time | 2026-08-01T14:08:34.044Z |
| Last seen | 2026-08-01T14:08:34.044Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | QLC3IulJ8U70 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Aurora - The Fastest AI Gateway One API for every AI provider. Self-hosted. No vendor lock-in. 14 provider types • OpenAI & Anthropic compatible • Go • Apache 2.0 • Built for raw speed What Aurora Does Aurora sits between your app and LLM providers. Your app sends requests using the standard OpenAI or Anthropic SDK — Aurora routes them to whichever provider you've configured. One format handles everything — you dont need to worry about provider-specific formats. # Before: hardcoded provider client = OpenAI(base_url="https://api.openai.com/v1", api_key="sk-...") # After: Aurora Gateway client = OpenAI(base_url="http://localhost:8080/v1", api_key="your-aurora-key") No SDK changes. No format changes. Just swap the base_url.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.