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Nexus – open-source AI gateway for enterprise LLM traffic

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Nexus – open-source AI gateway for enterprise LLM traffic
TL;DR · WeSearch summary

Nexus Gateway is an open-source AI gateway designed to manage enterprise LLM traffic securely. It operates at three layers, ensuring compliance and audit capabilities through a unified control system. The platform supports multiple AI providers and offers features like cost control, compliance pipelines, and a multi-tier caching system.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,266 of its stories.

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Read full at GitHub →

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Record

Original publisherGitHub
Canonical URLhttps://github.com/AlphaBitCore/nexus-gateway
Publication timeTue, 26 May 2026 21:50:44 +0000
Retrieval time2026-05-26T21:52:54.512Z
Last seen2026-05-26T21:52:54.512Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterrTTPvcNdqm8r
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Unknown
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AI summary May WeSearch generate its own short summary of the article? Limited
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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

Nexus Gateway Make AI safe to use across the enterprise. Nexus Gateway intercepts enterprise LLM traffic at three layers and runs all of it through one compliance engine, one audit pipeline, and one control plane. Mode Where it intercepts Code 🔑 AI Gateway SDK layer — virtual keys on /v1/chat/*, /v1/responses, /v1/embeddings, /v1/messages packages/ai-gateway/ 🌐 Compliance Proxy Network layer — transparent TLS bump (CONNECT + MITM) packages/compliance-proxy/ 💻 Desktop Agent OS layer — macOS / Linux / Windows builds all in development, awaiting QA packages/agent/platform/{darwin,linux,windows}/ The three pipes are independent: AI Gateway, Compliance Proxy, and Agent each run the full hooks pipeline on their own traffic (packages/shared/policy/hooks/, plus the per-service compliance…

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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