Kong — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Kong. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Mar 27, 2026 • Sentiment updated: Unknown

GitHub Statistics

Why Kong Stands Out

Kong stands out from alternative API gateways with its cloud-native architecture, advanced routing and load balancing capabilities, and extensibility via plugins. Its AI Gateway features, including multi-LLM support and semantic security, provide a unique set of capabilities for managing AI-powered API traffic. By centralizing common API and microservice functionality, Kong creates more freedom for engineering teams to focus on the challenges that matter most. With its scalable and extensible platform, Kong is well-suited for large-scale deployments and complex API ecosystems.

Built With

Build a cloud-native API gateway with advanced routing and load balancing — Kong provides a scalable and extensible platform for managing API traffic, Build a centralized platform for orchestrating microservices — Kong serves as the central layer for proxying, routing, and load balancing microservice traffic, Build an AI-powered API gateway with multi-LLM support — Kong's AI Gateway capabilities enable advanced AI traffic management and analytics, Build a secure and compliant API gateway with semantic security and MCP traffic governance — Kong provides advanced security features for protecting API traffic, Build a highly available and scalable API gateway with native Kubernetes support — Kong's official Kubernetes Ingress Controller enables seamless deployment and management

Getting Started

  1. Install Kong using the docker-compose distribution by running `git clone https://github.com/Kong/docker-kong` and `cd docker-kong/compose/`
  2. Start the Gateway stack using `KONG_DATABASE=postgres docker-compose --profile database up`
  3. Configure Kong using the Admin API or decK by accessing `http://localhost:8001`
  4. Access Kong's management Web UI (Kong Manager) on `http://localhost:8002`
  5. Try configuring a service using the quick start guide to verify that Kong is working as expected

About

🦍 The API and AI Gateway

Official site: https://konghq.com/install/

Category & Tags

Category: development

Tags: ai, ai-gateway, api-gateway, api-management, apis, artificial-intelligence, cloud-native, devops, kubernetes, kubernetes-ingress, kubernetes-ingress-controller, llm-gateway, llm-ops, mcp, mcp-gateway, microservice, microservices, openai-proxy, reverse-proxy, serverless