higress

🤖 AI Gateway | AI Native API Gateway

7.5k
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+729
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10.7%
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💡 Why It Matters

Higress addresses the need for a robust API gateway that integrates AI capabilities, making it easier for engineering teams to manage and scale their microservices. This tool is particularly beneficial for roles such as backend developers and DevOps engineers who require a production-ready solution that can handle complex traffic patterns. With a maturity level that supports deployment in live environments, Higress has demonstrated healthy adoption, gaining 729 stars (10.7%) over 96 days, which serves as social proof of its reliability. However, it may not be the right choice for teams with simpler API management needs or those looking for a lightweight solution without AI features.

🎯 When to Use

Higress is a strong choice when teams need a self-hosted option that leverages AI for enhanced API management and performance. Consider alternatives if your project requires minimal functionality or if you prefer a cloud-based solution without the complexities of self-hosting.

👥 Team Fit & Use Cases

Higress is ideal for backend developers, DevOps engineers, and cloud architects who are focused on building scalable systems. It is commonly integrated into products that require sophisticated API management, such as microservices architectures and cloud-native applications.

🏷️ Topics & Ecosystem

ai-gateway ai-native api-gateway cloud-native envoy

📊 Activity

Latest commit: 2026-02-14. Over the past 96 days, this repository gained 729 stars (+10.7% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.