Projects sharing features with Apisix Ingress Controller

HAProxy is a high-performance TCP and HTTP proxy that distributes traffic across multiple backend servers to ensure availability and fault tolerance for critical services. It operates in either TCP or HTTP mode, with an event-driven, single-threaded reactor that handles tens of thousands of connections without context switching, and supports kernel-level data transfer to minimize memory usage and latency. What distinguishes HAProxy is its configuration-file-first design, where all load-balancing rules and runtime behavior are defined in a declarative text file parsed at startup. It embeds a L

This project is a Kubernetes deployment guide and infrastructure provisioner designed for hobbyist and home lab environments. It provides a framework for setting up multi-node clusters across various cloud providers and physical or virtual nodes, acting as a self-hosted cluster orchestrator. The project focuses on security hardening and infrastructure stability through specific implementation guides. This includes a framework for network security that covers host firewalls and encrypted network overlays, as well as detailed instructions for configuring ingress routing to manage external publi

Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c

This project is an artificial intelligence gateway that functions as a centralized middleware layer for managing, securing, and observing interactions with language, vision, and audio models. It provides a unified interface that standardizes requests across multiple providers, enabling teams to integrate AI capabilities into their applications through a consistent set of tools and protocols. The gateway distinguishes itself through its comprehensive infrastructure governance and traffic management capabilities. It allows for policy-driven routing, automated failover, and load balancing across

Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure that automates the build process by detecting project frameworks and distributing static and dynamic content through a global content delivery network. The platform executes application logic using serverless functions that scale automatically based on real-time traffic demand. The platform distinguishes itself through a centralized AI gateway that proxies requests to multiple model providers, enabling standardized authentication, observability, and cost tracking. It supports

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

This project is a Kubernetes Ingress Controller that functions as a layer 7 traffic router and NGINX reverse proxy. It serves as a secure network gateway, directing external HTTP and HTTPS traffic to backend services within a cluster based on declarative routing rules. The controller acts as a TLS termination gateway to secure traffic and integrates with Prometheus to expose request metrics and latency data for cluster monitoring. It supports canary deployment workflows by implementing weight-based traffic splitting between different versions of a service. The system manages external access

This project is a Kubernetes ingress controller that manages external traffic routing by integrating directly with Google Cloud load balancing infrastructure. It functions as a controller that continuously reconciles the desired state of cluster ingress definitions with the actual configuration of cloud-native load balancers. The controller automates the provisioning of static or ephemeral IP addresses and configures load balancers to distribute network requests across multiple availability zones. It employs declarative mapping to translate abstract service definitions into concrete cloud inf

Easegress is a cloud native API gateway, Kubernetes ingress controller, and service mesh control plane. It serves as a centralized entry point for managing network traffic, providing a dedicated control plane and sidecar data plane to handle the lifecycle and interception of requests between distributed services. The project functions as an AI model gateway that proxies requests to large language model providers and translates request formats for compatibility. It is an extensible proxy that allows for custom request and response handling through a filter pipeline implemented via WebAssembly

Quotio is a local LLM API proxy gateway and credential manager that intercepts and routes requests from command-line tools and integrated development environments to various AI model providers. It serves as a centralized authentication hub, managing API keys and service accounts to provide a unified interface for external AI agents. The project distinguishes itself through a routing engine that implements priority-chain and round-robin load balancing to distribute workloads across multiple accounts. It features automated API key failover, which redirects requests to backup authentication keys

This project is a multi-provider AI gateway and proxy server that intercepts and routes requests between AI clients and various large language model providers. It functions as an API protocol translator and model router, mapping incoming requests to specific upstream providers or local runners to provide a unified interface for multiple models. The system distinguishes itself by bridging chat platforms and command line interfaces, converting messages from chat services into managed command line sessions. It further optimizes traffic by executing certain web search and fetch requests locally a

Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with large language models. By acting as a reverse-proxy, it provides a centralized layer for routing requests across multiple AI providers, allowing developers to maintain consistent application logic while gaining deep visibility into model performance, usage, and costs. The platform distinguishes itself through a robust suite of traffic management and prompt engineering tools. It enables policy-driven control, including automatic failover between providers, rate limiting, and edge-b

ZCF is a unified command-line environment manager that initializes, configures, and orchestrates multiple AI coding assistants within a single interface. It provides structured workflows for development, manages parallel Git worktrees, integrates Model Context Protocol (MCP) servers, and routes AI requests across multiple API providers to avoid vendor lock-in. The tool distinguishes itself by enabling parallel development streams through Git worktrees, allowing simultaneous work on multiple branches with natural language control. It supports task-based model routing that selects the most appr

Octelium is a zero-trust network access platform and identity-aware proxy designed to secure private HTTP, SSH, and SQL resources. It functions as a secure gateway that validates human and workload identities using OIDC, SAML, and FIDO2 passkeys before granting access to internal applications and SaaS APIs. The system is distinguished by its secretless access broker, which injects credentials—such as API keys, passwords, and AWS Sigv4 signatures—at the gateway level so users can access databases and cloud resources without managing secrets. It further specializes in AI gateway administration,

This project is a Kubernetes controller that automates the issuance, renewal, and lifecycle management of TLS certificates. It functions as a native extension to the cluster API, using custom resource definitions and reconciliation loops to maintain the desired state of certificates and trust bundles across distributed services. By integrating directly with the cluster's admission control and secret storage systems, it ensures that cryptographic identities are consistently provisioned and available for application workloads. The project distinguishes itself through its extensive support for a

This project is a Kubernetes ingress controller that manages external traffic by dynamically configuring the HAProxy load balancer. It functions as a bridge between cluster resources and the network data plane, translating high-level ingress definitions into active proxy configurations to route HTTP, TCP, and UDP traffic into containerized environments. The controller distinguishes itself through a decoupled architecture that separates control plane logic from the proxy process, allowing for independent lifecycle management and versioning. It utilizes template-based configuration generation a

This project is a Kubernetes controller that automates the management of public-facing network resources and secure ingress connectivity. It functions by observing custom resource definitions to reconcile the desired state of network traffic with the actual configuration of internal services. The controller manages network connectivity by establishing secure outbound tunnels, which eliminates the requirement for traditional inbound firewall ports or port forwarding. It integrates directly with external cloud management interfaces to automate the lifecycle of these tunnels and synchronize doma

Higress is an AI-native and cloud-native API gateway that routes, secures, and optimizes traffic between clients and large language model services. It functions as a centralized entry point for microservices, serving as both a Kubernetes ingress controller and an AI gateway orchestrator. The project distinguishes itself by managing traffic across multiple AI providers using a unified protocol, incorporating token-aware rate limiting and response caching to optimize model inference. It coordinates communication between AI models and external tools to provide real-time context and data, while a

mcp-use is a development framework designed for building, deploying, and managing servers, clients, and autonomous agents using the Model Context Protocol. It provides a comprehensive toolkit for creating servers that expose custom tools, data resources, and prompts to compatible AI agents. The project distinguishes itself by offering a complete lifecycle for protocol-based applications, including a dedicated hosting platform for production servers and a compliance validator to ensure servers meet marketplace publishing requirements. It also features an observability suite for tracing protoco

Easegress is a cloud-native traffic orchestration platform that functions as a multi-protocol API gateway and service mesh proxy. It routes, transforms, and orchestrates HTTP and MQTT traffic through configurable filter chains, providing high availability, security controls, and resilience for backend services. The platform integrates with service discovery systems like Kubernetes, Consul, and Eureka to dynamically route traffic to discovered services with automatic failover and health monitoring. The system distinguishes itself through a pipeline-based filter chain architecture where request

ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

Nginx Proxy Manager is a web-based administrative interface for configuring and managing Nginx reverse proxy hosts and server rules within Docker containers. It functions as a containerized network gateway that routes external web traffic to internal services and backend applications. The system automates the acquisition and renewal of Let's Encrypt SSL certificates to encrypt network traffic without manual command line intervention. It provides a graphical dashboard for defining proxy hosts, access lists, and custom server configurations, removing the need for manual configuration file editi

KServe is a Kubernetes-native platform for deploying and serving machine learning models as scalable inference services. It supports both generative AI models, including large language models, and traditional predictive models from frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost, and ONNX. The platform manages the full lifecycle of model deployments, including revision tracking, canary rollouts, A/B testing, and automatic rollbacks, and provides serverless scale-to-zero capabilities for cost-efficient resource management. KServe distinguishes itself through a standardized infere

Nginx is a high-performance HTTP server and reverse proxy designed to handle high-concurrency traffic through an efficient, event-driven architecture. It functions as a versatile traffic management gateway and content delivery accelerator, providing the infrastructure necessary to route client requests, balance loads across backend servers, and serve static assets with minimal resource consumption. The project distinguishes itself through a master-worker process model that separates configuration management from request processing, ensuring stable operations under heavy load. Its modular requ

Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

This project is a self-hosted forum software and extensible community platform designed to facilitate online discussions and member engagement. It functions as a REST API discussion engine, providing a backend that manages community interactions and forum data via a standardized JSON interface for external applications. The platform is distinguished by a modular architecture that allows for deep customization through a package-based extension system and an interface extension framework. It employs an extender-based customization model, enabling external modules to modify internal system behav

Tailscale is a zero-trust networking overlay that connects distributed devices and services into a private, encrypted mesh network. By utilizing a high-performance, user-space implementation of the WireGuard protocol, it establishes secure peer-to-peer tunnels across diverse network topologies without requiring complex firewall configuration. The platform operates on a centralized control plane that manages global network state, authentication, and policy distribution, ensuring that connectivity is governed by identity rather than traditional IP-based rules. What distinguishes Tailscale is it