Higress
AI-native API gateway for AI Agent development and LLM API management.
Verdict
A quick read before you dig into the full page.
- Best if
- You are aI Engineers and need: Developing AI Agents
- Pick this when
- AI-native API gateway for AI Agent development and LLM API management
Overview
Higress is an AI native API gateway based on Istio and Envoy, which can be extended with Wasm plugins written in Go/Rust/JS. It offers AI Gateway, MCP Server Hosting, Kubernetes ingress controller, Microservice gateway and Security gateway. Higress AI网关提供多模型灵活切换与兜底重试、大模型内容安全与合规、语义化缓存、多 API Key 均衡、Token 配额管理和限流、大模型流量灰度、调用成本审计等能力,帮助企业开发 Agent、管理LLM API.
Best for
Short scenarios where Higress tends to shine.
-
Developing AI Agents
Best for AI Engineers
-
Managing LLM APIs
Best for DevOps Engineers
-
Converting RESTful APIs to MCP Servers
Best for Platform Engineers
-
Securing AI model traffic
Best for Security Engineers
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Implementing rate limiting and token management for AI services
Best for Data Scientists
-
Auditing AI service call costs
Best for Machine Learning Engineers
Example outputs 1
Sample generations and before/after results for Higress.
Access & connections
Where you can use Higress, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- AI Gateway
- MCP Server Hosting
- Kubernetes Ingress Controller
- Microservice Gateway
- Security Gateway
- Multi-model flexible switching and fallback retries
- Large model content security and compliance
- Semantic caching
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- Multi-API Key balancing
- Token quota management and rate limiting
- Large model traffic grayscale
- Call cost auditing
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