Higress.ai

What is Higress.ai?

Higress.ai is an advanced API gateway platform built on Istio and Envoy, designed to unify traffic management, microservice discovery, security enforcement, and AI gateway capabilities. It supports extensibility through Wasm plugins in Go, Rust, or JavaScript, and offers dozens of ready-to-use plugins alongside an intuitive console. Higress enables seamless integration with mainstream LLM providers, supports Model Context Protocol (MCP) server hosting, and provides unified management for both LLM and MCP APIs. Its robust authentication, observability, and rate-limiting features make it suitable for both enterprise and developer use cases, while its open-source and cloud-based deployment options allow for flexibility and scalability.

Key Features

• Unified Gateway Architecture

  Combines traffic, microservice, security, and AI gateway roles into a single, cohesive platform for streamlined management and deployment.

• Extensible Plugin System

  Supports Wasm plugins in Go, Rust, or JavaScript, enabling rapid customization and integration of new capabilities.

• MCP Server Hosting

  Allows quick conversion of OpenAPI specifications into MCP servers, enabling AI agents to access diverse APIs with unified authentication and detailed observability.

• Comprehensive Security Controls

  Provides multi-layer authentication (Key Auth, JWT, OAuth2), rate limiting, request filtering, and WAF capabilities to safeguard API and AI service access.

• Rich Observability and Analytics

  Offers real-time monitoring, audit logs, and usage analytics for API and AI model calls, supporting fine-grained access control and cost management.

• Flexible Deployment Options

  Supports both cloud-based and local Docker deployments, catering to enterprises and individual developers alike.

Use Cases

• Multi-Model AI Proxy : Acts as a unified access layer for multiple LLM providers, enabling seamless switching, load balancing, and governance across models.
• API Security Gateway : Implements robust authentication, rate limiting, and request filtering to protect backend services and manage API access.
• Microservice Integration : Discovers and connects microservices across various registries, supporting hybrid environments and legacy systems.
• Agent Development and LLM API Governance : Facilitates rapid integration and management of AI agent frameworks, with unified monitoring and policy enforcement for LLM APIs.
• Content Safety and Semantic Caching : Provides out-of-the-box solutions for content moderation, caching, and token management in AI-driven applications.

FAQs