AlphaBitCore

AlphaBitCore / nexus-gateway

Public

Enterprise AI traffic gateway — unified compliance, routing across 20+ LLM providers, semantic cache, quotas, and audit. SDK / network / OS-layer intercept.

alphabitcore.comnexus ai-gateway anthropic audit bedrock compliance
14
2
85% credibility
Found Jun 01, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Nexus Gateway is an enterprise software platform that gives organizations complete control over how their employees use AI services. It sits between your applications and AI providers (like OpenAI, Anthropic, Google, and others), routing requests through a central gateway that enforces compliance rules, tracks costs, manages API keys, and maintains detailed audit logs. The platform supports three interception modes: a software development kit that developers integrate into their applications, a transparent network proxy that captures HTTPS traffic automatically, and a desktop agent that runs on employee computers. Organizations use Nexus Gateway to prevent sensitive data from reaching AI providers, enforce spending limits per team or project, maintain compliance audit trails for regulated industries, and route requests intelligently between different AI providers based on cost or capability.

How It Works

1
🏢 Your company needs AI control

Your IT team realizes employees are using various AI tools without visibility into costs, compliance, or security risks.

2
📦 You deploy Nexus Gateway

You install the gateway appliance on your network - it starts automatically and generates unique admin credentials for your instance.

3
🔌 You connect your AI providers

Through the dashboard, you connect your OpenAI, Anthropic, and other AI accounts so the gateway can route and monitor all traffic.

4
🔑 You create virtual keys for teams

Instead of sharing one API key with everyone, you create separate keys for each team with their own spending limits and model access.

5
Choose your protection level
🔐
SDK integration

Your developers add a simple library to their apps and all AI calls automatically go through the gateway with virtual keys

🌐
Network proxy

All HTTPS traffic to AI providers is transparently routed through the compliance proxy without any code changes

6
📊 You watch everything from the dashboard

The admin dashboard shows live traffic, costs by team, compliance events, and audit logs - all in one place.

✅ Your AI usage is now under control

Every AI request is logged, budgets are enforced, compliance rules are applied, and your team has the visibility they need to use AI safely.

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AI-Generated Review

What is nexus-gateway?

Nexus Gateway is an enterprise AI traffic gateway built in Go that intercepts LLM requests at three different layers: the SDK layer, the network layer, and the OS layer. It routes traffic across 20+ LLM providers using a unified OpenAI-compatible interface, while enforcing compliance policies, quota limits, and audit trails across your entire organization. Think of it as a control plane for all your AI traffic with semantic caching, multi-axis cost controls, and a full compliance engine.

Why is it gaining traction?

The hook here is the three-layer interception approach. You can deploy the SDK-mode gateway for new applications, use the transparent proxy for existing apps without code changes, and install a desktop agent for endpoint-level control. Combined with a semantic vector cache using Valkey, real-time cost tracking per organization or virtual key, and a routing engine that supports strategies like fallback, load balancing, and conditional routing, this gives enterprises the governance layer they desperately need for AI adoption.

Who should use this?

Enterprise DevOps teams managing multiple AI providers who need audit trails, cost allocation, and compliance controls will get the most value. Security teams requiring PII detection, keyword filtering, and content safety across all AI traffic will appreciate the unified pipeline. Organizations already standardized on OpenAI SDK can adopt this with zero code changes while gaining multi-provider routing and semantic caching. The admin UI and CLI tooling make this accessible to teams without deep Go expertise.

Verdict

At 14 stars with "Pre-GA" status, this is an early-stage project that shows ambitious scope and solid architectural thinking. The 0.85 credibility score reflects a well-documented codebase with 95% coverage gates, but evaluate it as a development preview rather than production-ready software. If your enterprise needs centralized AI traffic control today, it's worth a proof-of-concept; just budget time for the evolving API surface during the pre-GA period.

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