[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-Kong--kong":3,"tool-Kong--kong":62},[4,18,26,36,46,54],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":17},4358,"openclaw","openclaw\u002Fopenclaw","OpenClaw 是一款专为个人打造的本地化 AI 助手，旨在让你在自己的设备上拥有完全可控的智能伙伴。它打破了传统 AI 助手局限于特定网页或应用的束缚，能够直接接入你日常使用的各类通讯渠道，包括微信、WhatsApp、Telegram、Discord、iMessage 等数十种平台。无论你在哪个聊天软件中发送消息，OpenClaw 都能即时响应，甚至支持在 macOS、iOS 和 Android 设备上进行语音交互，并提供实时的画布渲染功能供你操控。\n\n这款工具主要解决了用户对数据隐私、响应速度以及“始终在线”体验的需求。通过将 AI 部署在本地，用户无需依赖云端服务即可享受快速、私密的智能辅助，真正实现了“你的数据，你做主”。其独特的技术亮点在于强大的网关架构，将控制平面与核心助手分离，确保跨平台通信的流畅性与扩展性。\n\nOpenClaw 非常适合希望构建个性化工作流的技术爱好者、开发者，以及注重隐私保护且不愿被单一生态绑定的普通用户。只要具备基础的终端操作能力（支持 macOS、Linux 及 Windows WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":10,"last_commit_at":24,"category_tags":25,"status":17},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,"2026-04-05T11:01:52",[14,15,13],{"id":27,"name":28,"github_repo":29,"description_zh":30,"stars":31,"difficulty_score":32,"last_commit_at":33,"category_tags":34,"status":17},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",158594,2,"2026-04-16T23:34:05",[14,13,35],"语言模型",{"id":37,"name":38,"github_repo":39,"description_zh":40,"stars":41,"difficulty_score":42,"last_commit_at":43,"category_tags":44,"status":17},8272,"opencode","anomalyco\u002Fopencode","OpenCode 是一款开源的 AI 编程助手（Coding Agent），旨在像一位智能搭档一样融入您的开发流程。它不仅仅是一个代码补全插件，而是一个能够理解项目上下文、自主规划任务并执行复杂编码操作的智能体。无论是生成全新功能、重构现有代码，还是排查难以定位的 Bug，OpenCode 都能通过自然语言交互高效完成，显著减少开发者在重复性劳动和上下文切换上的时间消耗。\n\n这款工具专为软件开发者、工程师及技术研究人员设计，特别适合希望利用大模型能力来提升编码效率、加速原型开发或处理遗留代码维护的专业人群。其核心亮点在于完全开源的架构，这意味着用户可以审查代码逻辑、自定义行为策略，甚至私有化部署以保障数据安全，彻底打破了传统闭源 AI 助手的“黑盒”限制。\n\n在技术体验上，OpenCode 提供了灵活的终端界面（Terminal UI）和正在测试中的桌面应用程序，支持 macOS、Windows 及 Linux 全平台。它兼容多种包管理工具，安装便捷，并能无缝集成到现有的开发环境中。无论您是追求极致控制权的资深极客，还是渴望提升产出的独立开发者，OpenCode 都提供了一个透明、可信",144296,1,"2026-04-16T14:50:03",[13,45],"插件",{"id":47,"name":48,"github_repo":49,"description_zh":50,"stars":51,"difficulty_score":32,"last_commit_at":52,"category_tags":53,"status":17},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",108322,"2026-04-10T11:39:34",[14,15,13],{"id":55,"name":56,"github_repo":57,"description_zh":58,"stars":59,"difficulty_score":32,"last_commit_at":60,"category_tags":61,"status":17},6121,"gemini-cli","google-gemini\u002Fgemini-cli","gemini-cli 是一款由谷歌推出的开源 AI 命令行工具，它将强大的 Gemini 大模型能力直接集成到用户的终端环境中。对于习惯在命令行工作的开发者而言，它提供了一条从输入提示词到获取模型响应的最短路径，无需切换窗口即可享受智能辅助。\n\n这款工具主要解决了开发过程中频繁上下文切换的痛点，让用户能在熟悉的终端界面内直接完成代码理解、生成、调试以及自动化运维任务。无论是查询大型代码库、根据草图生成应用，还是执行复杂的 Git 操作，gemini-cli 都能通过自然语言指令高效处理。\n\n它特别适合广大软件工程师、DevOps 人员及技术研究人员使用。其核心亮点包括支持高达 100 万 token 的超长上下文窗口，具备出色的逻辑推理能力；内置 Google 搜索、文件操作及 Shell 命令执行等实用工具；更独特的是，它支持 MCP（模型上下文协议），允许用户灵活扩展自定义集成，连接如图像生成等外部能力。此外，个人谷歌账号即可享受免费的额度支持，且项目基于 Apache 2.0 协议完全开源，是提升终端工作效率的理想助手。",100752,"2026-04-10T01:20:03",[45,13,15,14],{"id":63,"github_repo":64,"name":65,"description_en":66,"description_zh":67,"ai_summary_zh":67,"readme_en":68,"readme_zh":69,"quickstart_zh":70,"use_case_zh":71,"hero_image_url":72,"owner_login":73,"owner_name":73,"owner_avatar_url":74,"owner_bio":75,"owner_company":76,"owner_location":76,"owner_email":76,"owner_twitter":76,"owner_website":77,"owner_url":78,"languages":79,"stars":116,"forks":117,"last_commit_at":118,"license":119,"difficulty_score":10,"env_os":120,"env_gpu":121,"env_ram":121,"env_deps":122,"category_tags":129,"github_topics":130,"view_count":32,"oss_zip_url":76,"oss_zip_packed_at":76,"status":17,"created_at":151,"updated_at":152,"faqs":153,"releases":182},8196,"Kong\u002Fkong","kong","🦍 The API and AI Gateway","Kong 是一款云原生、高性能的网关工具，专为管理 API、大语言模型（LLM）及模型上下文协议（MCP）流量而设计。它作为微服务架构中的核心枢纽，统一处理请求代理、路由分发、负载均衡、健康检查及身份认证等通用功能，帮助团队从繁琐的基础设施维护中解放出来，专注于核心业务逻辑的开发。\n\n对于需要构建稳定后端架构或集成 AI 能力的开发者与运维工程师而言，Kong 能有效解决服务间通信复杂、流量控制困难以及 AI 接口安全缺失等痛点。其独特亮点在于强大的插件扩展机制和对 AI 场景的深度支持：不仅提供多模型路由、语义安全防护和详细的流量分析，还能无缝运行于 Kubernetes 环境。无论是传统 Web 服务还是新兴的 Agent 应用，Kong 都能通过灵活的配置确保系统的高可用性与安全性，是连接各类服务与用户的可靠桥梁。","[![][kong-logo]][kong-url]\n\n![Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FKong\u002Fkong?style=flat-square) ![GitHub commit activity](https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002F_\u002Fkong?style=flat-square) [![Build Status][badge-action-image]][badge-action-url] ![Version](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fv\u002Frelease\u002FKong\u002Fkong?color=green&label=Version&style=flat-square)  ![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-Apache%202.0-blue?style=flat-square) [![Twitter Follow](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Fthekonginc?style=social)](https:\u002F\u002Fx.com\u002Fthekonginc)\n\n\nKong or Kong Gateway is a cloud-native, platform-agnostic, scalable **API 𖧹 LLM 𖧹 MCP** Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI traffic capabilities with multi-LLM support, semantic security, MCP traffic security and analytics, and more.\n\nBy providing functionality for proxying, routing, load balancing, health checking, authentication (and [more](#features)), Kong serves as the central layer for orchestrating microservices or conventional API traffic - and agentic LLM and MCP as well - with ease.\n\nKong runs natively on Kubernetes thanks to its official [Kubernetes Ingress Controller](https:\u002F\u002Fgithub.com\u002FKong\u002Fkubernetes-ingress-controller).\n\n\u003Cbr \u002F>\n\n[![][kong-diagram]][kong-url]\n\n---\n\n[Installation](https:\u002F\u002Fkonghq.com\u002Finstall\u002F#kong-community) | [Documentation](https:\u002F\u002Fdocs.konghq.com) | [Discussions](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fdiscussions) | [Forum](https:\u002F\u002Fdiscuss.konghq.com) | [Blog](https:\u002F\u002Fkonghq.com\u002Fblog) | [Builds][kong-master-builds] | [AI Gateway](https:\u002F\u002Fkonghq.com\u002Fproducts\u002Fkong-ai-gateway) | [Cloud Hosted Kong](https:\u002F\u002Fkonghq.com\u002Fkong-konnect\u002F)\n\n---\n\n## Getting Started\n\nIf you prefer to use a cloud-hosted Kong, you can [sign up for a free trial of Kong Konnect](https:\u002F\u002Fkonghq.com\u002Fproducts\u002Fkong-konnect\u002Fregister?utm_medium=Referral&utm_source=Github&utm_campaign=kong-gateway&utm_content=konnect-promo-in-gateway&utm_term=get-started) and get started in minutes. If not, you can follow the instructions below to get started with Kong on your own infrastructure.\n\nLet’s test drive Kong by adding authentication to an API in under 5 minutes.\n\nWe suggest using the docker-compose distribution via the instructions below, but there is also a [docker installation](https:\u002F\u002Fdocs.konghq.com\u002Fgateway\u002Flatest\u002Finstall\u002Fdocker\u002F#install-kong-gateway-in-db-less-mode) procedure if you’d prefer to run the Kong Gateway in DB-less mode.\n\nWhether you’re running in the cloud, on bare metal, or using containers, you can find every supported distribution on our [official installation](https:\u002F\u002Fkonghq.com\u002Finstall\u002F#kong-community) page.\n\n1) To start, clone the Docker repository and navigate to the compose folder.\n```cmd\n  $ git clone https:\u002F\u002Fgithub.com\u002FKong\u002Fdocker-kong\n  $ cd docker-kong\u002Fcompose\u002F\n```\n\n2) Start the Gateway stack using:\n```cmd\n  $ KONG_DATABASE=postgres docker-compose --profile database up\n```\n\nThe Gateway is now available on the following ports on localhost:\n\n- `:8000` - send traffic to your service via Kong\n- `:8001` - configure Kong using Admin API or via [decK](https:\u002F\u002Fgithub.com\u002Fkong\u002Fdeck)\n- `:8002` - access Kong's management Web UI ([Kong Manager](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong-manager)) on [localhost:8002](http:\u002F\u002Flocalhost:8002)\n\nNext, follow the [quick start guide](https:\u002F\u002Fdocs.konghq.com\u002Fgateway-oss\u002Flatest\u002Fgetting-started\u002Fconfiguring-a-service\u002F\n) to tour the Gateway features.\n\n### Getting started with AI Gateway for LLM and MCP\n\nIf you would like to get started with Kong AI Gateway capabilities including LLM and MCP features, please refer to the [official AI documentation](https:\u002F\u002Fdeveloper.konghq.com\u002Fai-gateway\u002F).\n\n## Features\n\nBy centralizing common API, AI and MCP functionality across all your organization's services, Kong Gateway creates more freedom for engineering teams to focus on the challenges that matter most.\n\nThe top Kong features include:\n\n- Advanced routing, load balancing, health checking - all configurable via a RESTful admin API or declarative configuration.\n- Authentication and authorization for APIs using methods like JWT, basic auth, OAuth, ACLs and more.\n- Universal LLM API to route across multiple providers like OpenAI, Anthropic, GCP Gemini, AWS Bedrock, Azure AI, Databricks, Mistral, Huggingface and more.\n- MCP traffic governance, MCP security and MCP observability in addition to MCP autogeneration from any RESTful API.\n- 60+ AI features like AI observability, semantic security and caching, semantic routing and more.\n- Proxy, SSL\u002FTLS termination, and connectivity support for L4 or L7 traffic.\n- Plugins for enforcing traffic controls, rate limiting, req\u002Fres transformations, logging, monitoring and including a plugin developer hub.\n- Sophisticated deployment models like Declarative Databaseless Deployment and Hybrid Deployment (control plane\u002Fdata plane separation) without any vendor lock-in.\n- Native [ingress controller](https:\u002F\u002Fgithub.com\u002FKong\u002Fkubernetes-ingress-controller) support for serving Kubernetes.\n\n[![][kong-benefits]][kong-url]\n\n### Plugin Hub\n\nPlugins provide advanced functionality that extends the use of the Gateway. Many of the Kong Inc. and community-developed plugins like AWS Lambda, Correlation ID, and Response Transformer are showcased at the [Plugin Hub](https:\u002F\u002Fdocs.konghq.com\u002Fhub\u002F).\n\nContribute to the Plugin Hub and ensure your next innovative idea is published and available to the broader community!\n\n## Contributing\n\nWe ❤️ pull requests, and we’re continually working hard to make it as easy as possible for developers to contribute. Before beginning development with the Kong Gateway, please familiarize yourself with the following developer resources:\n\n- Community Pledge ([COMMUNITY_PLEDGE.md](COMMUNITY_PLEDGE.md)) for our pledge to interact with you, the open source community.\n- Contributor Guide ([CONTRIBUTING.md](CONTRIBUTING.md)) to learn about how to contribute to Kong.\n- Development Guide ([DEVELOPER.md](DEVELOPER.md)): Setting up your development environment.\n- [CODE_OF_CONDUCT](CODE_OF_CONDUCT.md) and [COPYRIGHT](COPYRIGHT)\n\nUse the [Plugin Development Guide](https:\u002F\u002Fdocs.konghq.com\u002Flatest\u002Fplugin-development\u002F) for building new and creative plugins, or browse the online version of Kong's source code documentation in the [Plugin Development Kit (PDK) Reference](https:\u002F\u002Fdocs.konghq.com\u002Flatest\u002Fpdk\u002F). Developers can build plugins in [Lua](https:\u002F\u002Fdocs.konghq.com\u002Fgateway\u002Flatest\u002Fplugin-development\u002F), [Go](https:\u002F\u002Fdocs.konghq.com\u002Fgateway-oss\u002Flatest\u002Fexternal-plugins\u002F#developing-go-plugins) or [JavaScript](https:\u002F\u002Fdocs.konghq.com\u002Fgateway-oss\u002Flatest\u002Fexternal-plugins\u002F#developing-javascript-plugins).\n\n## Releases\n\nPlease see the [Changelog](CHANGELOG.md) for more details about a given release. The [SemVer Specification](https:\u002F\u002Fsemver.org) is followed when versioning Gateway releases.\n\n## Join the Community\n\n- Check out the [docs](https:\u002F\u002Fdocs.konghq.com\u002F)\n- Join the [Kong discussions forum](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fdiscussions)\n- Join the Kong discussions at the Kong Nation forum: [https:\u002F\u002Fdiscuss.konghq.com\u002F](https:\u002F\u002Fdiscuss.konghq.com\u002F)\n- Join our [Community Slack](http:\u002F\u002Fkongcommunity.slack.com\u002F)\n- Read up on the latest happenings at our [blog](https:\u002F\u002Fkonghq.com\u002Fblog\u002F)\n- Follow us on [X](https:\u002F\u002Fx.com\u002Fthekonginc)\n- Subscribe to our [YouTube channel](https:\u002F\u002Fwww.youtube.com\u002Fc\u002FKongInc\u002Fvideos)\n- Visit our [homepage](https:\u002F\u002Fkonghq.com\u002F) to learn more\n\n## Konnect Cloud\n\nKong Inc. offers commercial subscriptions that enhance the Kong Gateway in a variety of ways. Customers of Kong's [Konnect Cloud](https:\u002F\u002Fkonghq.com\u002Fkong-konnect\u002F) subscription take advantage of additional gateway functionality, commercial support, and access to Kong's managed (SaaS) control plane platform. The Konnect Cloud platform features include real-time analytics, a service catalog, developer portals, and so much more! [Get started](https:\u002F\u002Fkonghq.com\u002Fproducts\u002Fkong-konnect\u002Fregister?utm_medium=Referral&utm_source=Github&utm_campaign=kong-gateway&utm_content=konnect-promo-in-gateway&utm_term=get-started) with Konnect Cloud.\n\n## License\n\n```\nCopyright 2016-2026 Kong Inc.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n```\n\n[kong-url]: https:\u002F\u002Fkonghq.com\u002F\n[kong-logo]: https:\u002F\u002Fkonghq.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fkong-logo-github-readme.png\n[kong-diagram]: https:\u002F\u002Fassets.prd.mktg.konghq.com\u002Fimages\u002F2025\u002F09\u002F68cc1bfd-kong-diagram.png?v=2\n[kong-benefits]: https:\u002F\u002Fkonghq.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fkong-benefits-github-readme.png\n[kong-master-builds]: https:\u002F\u002Fhub.docker.com\u002Fr\u002Fkong\u002Fkong\u002Ftags\n[badge-action-url]: https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Factions\n[badge-action-image]: https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Factions\u002Fworkflows\u002Fbuild_and_test.yml\u002Fbadge.svg?branch=master&event=push\n\n[busted]: https:\u002F\u002Fgithub.com\u002FOlivine-Labs\u002Fbusted\n[luacheck]: https:\u002F\u002Fgithub.com\u002Fmpeterv\u002Fluacheck\n","[![][kong-logo]][kong-url]\n\n![Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FKong\u002Fkong?style=flat-square) ![GitHub 提交活动](https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002F_\u002Fkong?style=flat-square) [![构建状态][badge-action-image]][badge-action-url] ![版本](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fv\u002Frelease\u002FKong\u002Fkong?color=green&label=Version&style=flat-square)  ![许可证](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-Apache%202.0-blue?style=flat-square) [![Twitter 关注](https:\u002F\u002Fimg.shields.io\u002Ftwitter\u002Ffollow\u002Fthekonginc?style=social)](https:\u002F\u002Fx.com\u002Fthekonginc)\n\n\nKong 或 Kong Gateway 是一款云原生、平台无关、可扩展的 **API 𖧹 LLM 取得以及 MCP** 网关，以其高性能和通过插件实现的高度可扩展性而著称。它还提供先进的 AI 流量管理能力，包括多 LLM 支持、语义安全、MCP 流量安全与分析等功能。\n\n通过提供代理、路由、负载均衡、健康检查、认证（以及更多功能）, Kong 成为编排微服务或传统 API 流量——以及代理型 LLM 和 MCP——的核心层，操作简便。\n\n得益于其官方的 [Kubernetes Ingress Controller](https:\u002F\u002Fgithub.com\u002FKong\u002Fkubernetes-ingress-controller)，Kong 可以在 Kubernetes 上原生运行。\n\n\u003Cbr \u002F>\n\n[![][kong-diagram]][kong-url]\n\n---\n\n[安装](https:\u002F\u002Fkonghq.com\u002Finstall\u002F#kong-community) | [文档](https:\u002F\u002Fdocs.konghq.com) | [讨论区](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fdiscussions) | [论坛](https:\u002F\u002Fdiscuss.konghq.com) | [博客](https:\u002F\u002Fkonghq.com\u002Fblog) | [构建][kong-master-builds] | [AI 网关](https:\u002F\u002Fkonghq.com\u002Fproducts\u002Fkong-ai-gateway) | [云端托管的 Kong](https:\u002F\u002Fkonghq.com\u002Fkong-konnect\u002F)\n\n---\n\n## 入门指南\n\n如果您更倾向于使用云端托管的 Kong，可以 [注册 Kong Konnect 的免费试用版](https:\u002F\u002Fkonghq.com\u002Fproducts\u002Fkong-konnect\u002Fregister?utm_medium=Referral&utm_source=Github&utm_campaign=kong-gateway&utm_content=konnect-promo-in-gateway&utm_term=get-started)，并在几分钟内开始使用。否则，您可以按照以下说明，在您自己的基础设施上开始使用 Kong。\n\n让我们通过在不到 5 分钟内为 API 添加认证功能来试用 Kong。\n\n我们建议使用下面提供的 docker-compose 部署方式，但如果您希望以无数据库模式运行 Kong Gateway，也可以参考 [Docker 安装指南](https:\u002F\u002Fdocs.konghq.com\u002Fgateway\u002Flatest\u002Finstall\u002Fdocker\u002F#install-kong-gateway-in-db-less-mode)。\n\n无论您是在云端、裸金属服务器上，还是使用容器部署，都可以在我们的 [官方安装页面](https:\u002F\u002Fkonghq.com\u002Finstall\u002F#kong-community) 上找到所有支持的部署方式。\n\n1) 首先，克隆 Docker 仓库并进入 compose 文件夹。\n```cmd\n  $ git clone https:\u002F\u002Fgithub.com\u002FKong\u002Fdocker-kong\n  $ cd docker-kong\u002Fcompose\u002F\n```\n\n2) 使用以下命令启动 Gateway 堆栈：\n```cmd\n  $ KONG_DATABASE=postgres docker-compose --profile database up\n```\n\n现在，Gateway 已经在本地主机的以下端口上可用：\n\n- `:8000` - 通过 Kong 将流量发送到您的服务\n- `:8001` - 使用 Admin API 或 [decK](https:\u002F\u002Fgithub.com\u002Fkong\u002Fdeck) 配置 Kong\n- `:8002` - 访问 Kong 的管理 Web UI ([Kong Manager](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong-manager))，地址为 [localhost:8002](http:\u002F\u002Flocalhost:8002)\n\n接下来，请按照 [快速入门指南](https:\u002F\u002Fdocs.konghq.com\u002Fgateway-oss\u002Flatest\u002Fgetting-started\u002Fconfiguring-a-service\u002F) 来了解 Gateway 的各项功能。\n\n### 开始使用用于 LLM 和 MCP 的 AI 网关\n\n如果您想开始使用包含 LLM 和 MCP 功能的 Kong AI 网关，请参阅 [官方 AI 文档](https:\u002F\u002Fdeveloper.konghq.com\u002Fai-gateway\u002F)。\n\n## 功能\n\n通过将常见的 API、AI 和 MCP 功能集中管理于贵组织的所有服务之上，Kong Gateway 为工程团队创造了更多自由，使他们能够专注于最重要的挑战。\n\nKong 的主要功能包括：\n\n- 高级路由、负载均衡、健康检查——均可通过 RESTful Admin API 或声明式配置进行自定义。\n- 使用 JWT、基本认证、OAuth、ACL 等方法对 API 进行身份验证和授权。\n- 通用 LLM API，可跨多个提供商路由，如 OpenAI、Anthropic、GCP Gemini、AWS Bedrock、Azure AI、Databricks、Mistral、Huggingface 等。\n- MCP 流量治理、MCP 安全性和 MCP 可观测性，以及从任何 RESTful API 自动生成 MCP 的功能。\n- 60 多种 AI 功能，如 AI 可观测性、语义安全与缓存、语义路由等。\n- 代理、SSL\u002FTLS 终止以及对 L4 或 L7 流量的支持。\n- 插件可用于实施流量控制、速率限制、请求\u002F响应转换、日志记录、监控等，并设有插件开发者中心。\n- 精湛的部署模式，如声明式无数据库部署和混合部署（控制平面\u002F数据平面分离），且不存在供应商锁定。\n- 原生支持 [ingress controller](https:\u002F\u002Fgithub.com\u002FKong\u002Fkubernetes-ingress-controller)，可用于服务 Kubernetes。\n\n[![][kong-benefits]][kong-url]\n\n### 插件中心\n\n插件提供了扩展 Gateway 使用范围的高级功能。许多由 Kong Inc. 和社区开发的插件，如 AWS Lambda、Correlation ID 和 Response Transformer，都在 [插件中心](https:\u002F\u002Fdocs.konghq.com\u002Fhub\u002F) 中展示。\n\n请为插件中心贡献力量，让您的下一个创新想法得以发布并供更广泛的社区使用！\n\n## 贡献\n\n我们非常欢迎 Pull Requests，并不断努力使开发者贡献变得尽可能简单。在开始使用 Kong Gateway 进行开发之前，请熟悉以下开发者资源：\n\n- 社区承诺（[COMMUNITY_PLEDGE.md](COMMUNITY_PLEDGE.md)），表明我们致力于与开源社区互动。\n- 贡献者指南（[CONTRIBUTING.md](CONTRIBUTING.md)），介绍如何为 Kong 做出贡献。\n- 开发者指南（[DEVELOPER.md](DEVELOPER.md)）：设置您的开发环境。\n- [行为准则](CODE_OF_CONDUCT.md) 和 [版权](COPYRIGHT)\n\n请使用 [插件开发指南](https:\u002F\u002Fdocs.konghq.com\u002Flatest\u002Fplugin-development\u002F) 来构建新颖的插件，或者浏览在线版的 Kong 源代码文档，即 [插件开发工具包 (PDK) 参考](https:\u002F\u002Fdocs.konghq.com\u002Flatest\u002Fpdk\u002F)。开发者可以使用 [Lua](https:\u002F\u002Fdocs.konghq.com\u002Fgateway\u002Flatest\u002Fplugin-development\u002F)、[Go](https:\u002F\u002Fdocs.konghq.com\u002Fgateway-oss\u002Flatest\u002Fexternal-plugins\u002F#developing-go-plugins) 或 [JavaScript](https:\u002F\u002Fdocs.konghq.com\u002Fgateway-oss\u002Flatest\u002Fexternal-plugins\u002F#developing-javascript-plugins) 来开发插件。\n\n## 发布版本\n\n有关特定版本的详细信息，请参阅 [变更日志](CHANGELOG.md)。Gateway 版本遵循 [SemVer 规范](https:\u002F\u002Fsemver.org)。\n\n## 加入社区\n\n- 查看[文档](https:\u002F\u002Fdocs.konghq.com\u002F)\n- 加入[Kong 讨论论坛](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fdiscussions)\n- 在 Kong Nation 论坛参与讨论：[https:\u002F\u002Fdiscuss.konghq.com\u002F](https:\u002F\u002Fdiscuss.konghq.com\u002F)\n- 加入我们的[社区 Slack](http:\u002F\u002Fkongcommunity.slack.com\u002F)\n- 阅读我们[博客](https:\u002F\u002Fkonghq.com\u002Fblog\u002F)上的最新动态\n- 在[X](https:\u002F\u002Fx.com\u002Fthekonginc)上关注我们\n- 订阅我们的[YouTube 频道](https:\u002F\u002Fwww.youtube.com\u002Fc\u002FKongInc\u002Fvideos)\n- 访问我们的[主页](https:\u002F\u002Fkonghq.com\u002F)了解更多\n\n## Konnect Cloud\n\nKong Inc. 提供多种方式增强 Kong Gateway 的商业订阅服务。Kong 的 [Konnect Cloud](https:\u002F\u002Fkonghq.com\u002Fkong-konnect\u002F) 订阅客户可以享受额外的网关功能、商业支持，以及访问 Kong 托管（SaaS）控制平面平台的权限。Konnect Cloud 平台的功能包括实时分析、服务目录、开发者门户等等！[立即开始](https:\u002F\u002Fkonghq.com\u002Fproducts\u002Fkong-konnect\u002Fregister?utm_medium=Referral&utm_source=Github&utm_campaign=kong-gateway&utm_content=konnect-promo-in-gateway&utm_term=get-started)使用 Konnect Cloud。\n\n## 许可证\n\n```\n版权所有 2016-2026 Kong Inc.\n\n根据 Apache 许可证第 2.0 版（“许可证”）授权；\n除非符合许可证规定，否则不得使用本文件。\n您可以在以下网址获取许可证副本：\n\n   https:\u002F\u002Fwww.apache.org\u002Flicenses\u002FLICENSE-2.0\n\n除非适用法律要求或书面同意，否则软件按“原样”分发，\n不提供任何形式的保证或条件。\n有关许可的具体语言、权限和限制，请参阅许可证。\n```\n\n[kong-url]: https:\u002F\u002Fkonghq.com\u002F\n[kong-logo]: https:\u002F\u002Fkonghq.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fkong-logo-github-readme.png\n[kong-diagram]: https:\u002F\u002Fassets.prd.mktg.konghq.com\u002Fimages\u002F2025\u002F09\u002F68cc1bfd-kong-diagram.png?v=2\n[kong-benefits]: https:\u002F\u002Fkonghq.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fkong-benefits-github-readme.png\n[kong-master-builds]: https:\u002F\u002Fhub.docker.com\u002Fr\u002Fkong\u002Fkong\u002Ftags\n[badge-action-url]: https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Factions\n[badge-action-image]: https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Factions\u002Fworkflows\u002Fbuild_and_test.yml\u002Fbadge.svg?branch=master&event=push\n\n[busted]: https:\u002F\u002Fgithub.com\u002FOlivine-Labs\u002Fbusted\n[luacheck]: https:\u002F\u002Fgithub.com\u002Fmpeterv\u002Fluacheck","# Kong Gateway 快速上手指南\n\nKong 是一个云原生、平台无关且可扩展的 API、LLM（大语言模型）及 MCP 网关。它以高性能和丰富的插件生态著称，适用于微服务编排、AI 流量治理及安全认证等场景。\n\n## 环境准备\n\n在开始之前，请确保您的开发环境满足以下要求：\n\n*   **操作系统**：Linux (Ubuntu\u002FCentOS)、macOS 或 Windows (需安装 WSL2 或 Docker Desktop)。\n*   **前置依赖**：\n    *   **Docker** & **Docker Compose**：推荐使用 Docker 方式快速部署（本文采用此方案）。\n    *   **Git**：用于克隆示例仓库。\n*   **网络建议**：国内用户若拉取 Docker 镜像较慢，建议配置 Docker 镜像加速器（如阿里云、腾讯云等提供的加速地址）。\n\n## 安装步骤\n\n我们将通过 `docker-compose` 快速启动一个包含数据库（PostgreSQL）的 Kong Gateway 实例。\n\n1.  **克隆官方 Docker 仓库并进入目录**：\n    ```cmd\n    git clone https:\u002F\u002Fgithub.com\u002FKong\u002Fdocker-kong\n    cd docker-kong\u002Fcompose\u002F\n    ```\n\n2.  **启动网关服务栈**：\n    执行以下命令将同时启动 Kong Gateway 和 PostgreSQL 数据库：\n    ```cmd\n    KONG_DATABASE=postgres docker-compose --profile database up\n    ```\n\n3.  **验证安装**：\n    启动完成后，Kong 将在本地暴露以下端口：\n    *   `:8000` - 代理端口（流量入口）\n    *   `:8001` - 管理 API 端口（用于配置）\n    *   `:8002` - 管理界面端口 (Kong Manager)\n\n    访问 `http:\u002F\u002Flocalhost:8002` 即可在浏览器中查看 Kong 的管理仪表盘。\n\n## 基本使用\n\n以下示例演示如何在 5 分钟内为后端服务添加一个简单的路由和认证保护。\n\n### 1. 创建上游服务 (Upstream)\n假设你有一个运行在 `httpbin.org` 的测试服务，我们需要先将其注册到 Kong 中。\n\n```cmd\ncurl -i -X POST http:\u002F\u002Flocalhost:8001\u002Fservices \\\n    --data \"name=test-service\" \\\n    --data \"url=http:\u002F\u002Fhttpbin.org\"\n```\n\n### 2. 创建路由 (Route)\n创建一个路由，将访问 `localhost:8000\u002Ftest` 的请求转发到上述服务。\n\n```cmd\ncurl -i -X POST http:\u002F\u002Flocalhost:8001\u002Fservices\u002Ftest-service\u002Froutes \\\n    --data \"paths[]=\u002Ftest\" \\\n    --data \"name=test-route\"\n```\n\n**测试连通性**：\n```cmd\ncurl -i http:\u002F\u002Flocalhost:8000\u002Ftest\u002Fget\n# 应返回 200 OK 及 httpbin 的响应内容\n```\n\n### 3. 添加身份验证插件 (Key Authentication)\n为路由启用密钥认证，未携带有效 API Key 的请求将被拒绝。\n\n```cmd\ncurl -i -X POST http:\u002F\u002Flocalhost:8001\u002Froutes\u002Ftest-route\u002Fplugins \\\n    --data \"name=key-auth\"\n```\n\n**再次测试（未带密钥）**：\n```cmd\ncurl -i http:\u002F\u002Flocalhost:8000\u002Ftest\u002Fget\n# 应返回 401 Unauthorized\n```\n\n**测试通过（携带密钥）**：\n首先创建一个消费者（Consumer）并分配密钥：\n```cmd\n# 创建消费者\ncurl -i -X POST http:\u002F\u002Flocalhost:8001\u002Fconsumers \\\n    --data \"username=john-doe\"\n\n# 为该消费者创建 API Key\ncurl -i -X POST http:\u002F\u002Flocalhost:8001\u002Fconsumers\u002Fjohn-doe\u002Fkey-auth \\\n    --data \"key=SECRET_KEY_123\"\n```\n\n使用密钥访问：\n```cmd\ncurl -i http:\u002F\u002Flocalhost:8000\u002Ftest\u002Fget \\\n    -H \"apikey: SECRET_KEY_123\"\n# 应返回 200 OK\n```\n\n---\n*注：如需体验 Kong 对 LLM 和 MCP 的高级 AI 流量治理能力，请参考官方 [AI Gateway 文档](https:\u002F\u002Fdeveloper.konghq.com\u002Fai-gateway\u002F)。*","某电商公司正在将其传统微服务架构升级，并在客服系统中集成多个大语言模型（LLM）以提供智能导购和售后支持。\n\n### 没有 kong 时\n- **接口管理混乱**：每个微服务和 LLM 提供商的 API 密钥硬编码在业务代码中，一旦密钥轮换或供应商切换，需重新发布所有服务，维护成本极高。\n- **流量控制缺失**：面对促销高峰，缺乏统一的限流机制，导致后端核心数据库和昂贵的 LLM 调用配额被瞬间耗尽，系统频繁雪崩。\n- **安全漏洞频发**：不同团队各自实现鉴权逻辑，标准不一，且无法统一拦截针对 AI 接口的提示词注入攻击，数据泄露风险巨大。\n- **可观测性盲区**：无法集中监控各 LLM 模型的响应延迟、令牌消耗及错误率，难以评估哪个模型性价比最高或故障根源何在。\n\n### 使用 kong 后\n- **统一网关路由**：Kong 作为唯一入口集中管理所有微服务与 LLM 路由，通过插件动态处理认证与协议转换，更换模型供应商只需修改配置，无需重启业务服务。\n- **智能流量治理**：利用 Kong 的限流插件精准控制每秒请求数，并针对 AI 流量设置基于令牌用量的配额保护，确保核心业务在高并发下依然稳定。\n- **增强语义安全**：启用 Kong 的 AI 专用插件，自动检测并拦截恶意提示词注入，同时统一实施 OAuth2\u002FJWT 认证，构建起标准化的安全防线。\n- **全景数据分析**：通过内置分析功能实时可视化各模型的延迟、成本与成功率，帮助团队快速决策模型路由策略，显著降低运营成本。\n\nKong 将分散的 API 与 AI 流量治理转化为标准化的基础设施，让研发团队从繁琐的运维中解放，专注于核心业务创新。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FKong_kong_39811d50.png","Kong","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FKong_7ebf5112.png","Powering the API world. No AI without APIs.",null,"https:\u002F\u002Fkonghq.com","https:\u002F\u002Fgithub.com\u002FKong",[80,84,88,92,95,99,103,107,110,114],{"name":81,"color":82,"percentage":83},"Lua","#000080",89.3,{"name":85,"color":86,"percentage":87},"Perl","#0298c3",5.2,{"name":89,"color":90,"percentage":91},"Raku","#0000fb",3.1,{"name":93,"color":94,"percentage":42},"Starlark","#76d275",{"name":96,"color":97,"percentage":98},"Shell","#89e051",0.9,{"name":100,"color":101,"percentage":102},"Python","#3572A5",0.4,{"name":104,"color":105,"percentage":106},"Makefile","#427819",0.1,{"name":108,"color":109,"percentage":106},"CSS","#663399",{"name":111,"color":112,"percentage":113},"Dockerfile","#384d54",0,{"name":115,"color":76,"percentage":113},"Linker Script",43204,5111,"2026-04-16T10:31:30","Apache-2.0","Linux, macOS, Windows (通过 Docker)","未说明",{"notes":123,"python":121,"dependencies":124},"Kong 是一个基于 Nginx\u002FOpenResty 的 API 网关，主要通过 Docker 容器化部署。官方推荐使用 docker-compose 进行快速启动（支持有数据库模式和无数据库模式）。它原生支持 Kubernetes。虽然提供 AI\u002FLLM 相关功能（如路由、观测），但工具本身不依赖本地 GPU 运行，而是作为代理层连接外部 AI 服务。插件开发支持 Lua、Go 和 JavaScript。",[125,126,127,128],"Docker","Docker Compose","PostgreSQL (可选数据库)","Kong Kubernetes Ingress Controller (可选)",[15,14,45,35,13],[131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150],"api-gateway","microservices","api-management","serverless","apis","reverse-proxy","cloud-native","microservice","devops","kubernetes","kubernetes-ingress-controller","kubernetes-ingress","ai","artificial-intelligence","ai-gateway","llm-gateway","openai-proxy","llm-ops","mcp","mcp-gateway","2026-03-27T02:49:30.150509","2026-04-17T09:54:33.968525",[154,159,164,169,174,178],{"id":155,"question_zh":156,"answer_zh":157,"source_url":158},36660,"Kong 是否支持 PostgreSQL 作为数据存储？","是的，Kong 从 0.8.0 版本开始正式支持 PostgreSQL。PostgreSQL 9.4 及以上版本受支持，同时也兼容 Amazon RDS。您可以从 GitHub 发布页下载 v0.8.0 进行体验。注意：早期版本中 OAuth2 和集群功能依赖 Cassandra 的 TTL 特性，在 Postgres 中可能需要额外配置或等待后续更新完善；同时需确保已合并支持 SSL 连接的底层驱动更新。","https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fissues\u002F331",{"id":160,"question_zh":161,"answer_zh":162,"source_url":163},36661,"如何在 Kong 中实现动态负载均衡和上游管理？","Kong 引入了 'upstream'（上游）和 'target'（目标）的概念来实现动态负载均衡。您可以通过管理 API 创建上游并添加多个带权重的目标主机。具体步骤如下：\n1. 创建上游：POST \u002Fupstreams\u002F (参数 name=service-xyz-v1)\n2. 添加目标：POST \u002Fupstreams\u002Fservice-xyz-v1\u002Ftargets (参数 target=internal.host1:80, weight=3)\n3. 在创建 API 时，将 upstream_url 设置为上游名称（例如：http:\u002F\u002Fservice-xyz-v1\u002F）。\nKong 内部使用 resty-dns 库解析 A、AAAA 和 SRV 记录以实现动态 IP 解析。","https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fissues\u002F157",{"id":165,"question_zh":166,"answer_zh":167,"source_url":168},36662,"执行 Kong 数据库迁移（migrations up\u002Ffinish）时遇到 Cassandra 读取失败或需要多次运行怎么办？","如果遇到 `[Read failure] Operation failed` 错误，这通常是 Cassandra 服务器端的错误，表明副本节点未能执行读取操作。常见原因包括“墓碑”（Tombstones）过多。解决方法包括：\n1. 检查协调节点和失败副本节点的 Cassandra 错误日志。\n2. 有时需要多次运行 `kong migrations finish` 命令直到所有待处理的迁移（Pending migrations）完成。\n3. 确认迁移状态可使用 `kong migrations list` 查看已执行和待执行的迁移项。如果问题持续，需优化 Cassandra 集群配置或清理墓碑数据。","https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fissues\u002F6403",{"id":170,"question_zh":171,"answer_zh":172,"source_url":173},36663,"在高负载下创建大量资源（如 5000+ 服务\u002F路由）时遇到 NullPointerException 错误如何处理？","在高并发创建大量资源（如 5k 服务\u002F路由对）时，可能会因 Cassandra 分页查询失败导致 `java.lang.NullPointerException`。建议措施：\n1. 确保已应用社区提供的修复补丁（如相关的 PR 修复），这些补丁增强了插件映射重建的健壮性。\n2. 在删除资源时（如先删路由再删服务），尝试在操作之间增加短暂等待（如 5 秒），以避免竞态条件导致的页面查询错误。\n3. 监控 Cassandra 集群健康状况，确保其能处理高并发写入和分页查询压力。","https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fissues\u002F4194",{"id":175,"question_zh":176,"answer_zh":177,"source_url":163},36664,"在没有配置 upstream 块的情况下，如何实现 keep_alive 长连接？","由于传统的 Nginx upstream 块不支持动态 IP 解析，而 keep_alive 通常需要在 upstream 上下文外配置较为困难。Kong 的解决方案是引入动态上游实体（Upstream Entity）。通过定义虚拟主机映射到一组真实主机（Targets），并在 Kong 内部管理这些上游池，从而既支持动态解析又能在内部机制中有效管理连接保持（keep_alive）。用户只需在 `upstream_url` 中使用定义的上游名称即可。",{"id":179,"question_zh":180,"answer_zh":181,"source_url":168},36665,"Kong 迁移过程中如何确认哪些迁移已执行，哪些仍挂起？","您可以运行 `kong migrations list` 命令来查看当前数据库的迁移状态。输出会清晰列出：\n- `Executed migrations`: 已成功执行的迁移版本（如 core: 000_base, 003_100_to_110 等）。\n- `Pending migrations`: 尚未执行的迁移（如 core: 009_200_to_210 等）。\n当 `kong migrations up` 完成后，若有挂起项，需继续运行 `kong migrations finish` 直到没有 pending 项为止。",[183,188,193,197,202,207,212,217,222,227,232,237,242,247,252,257,262,267,272,277],{"id":184,"version":185,"summary_zh":186,"released_at":187},289398,"3.9.1","立即下载并运行 Kong 3.9.1：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.9.1 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.9.x\u002FCHANGELOG.md#391)","2025-06-04T09:20:05",{"id":189,"version":190,"summary_zh":191,"released_at":192},289399,"3.9.0","立即下载并运行 Kong 3.9.0：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.9.0 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.9.x\u002FCHANGELOG.md#390)","2024-12-13T04:17:54",{"id":194,"version":195,"summary_zh":76,"released_at":196},289400,"3.8.1","2024-11-18T20:52:27",{"id":198,"version":199,"summary_zh":200,"released_at":201},289401,"3.8.0","立即下载并运行 Kong 3.8.0：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.8.0 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Fmaster\u002Fchangelog\u002F3.8.0\u002F3.8.0.md)","2024-09-11T09:19:15",{"id":203,"version":204,"summary_zh":205,"released_at":206},289402,"2.8.5","立即下载并运行 Kong 2.8.5：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[2.8.5 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F2.8.5\u002Fchangelog\u002F2.8.5\u002F2.8.5.md)","2024-06-24T14:54:52",{"id":208,"version":209,"summary_zh":210,"released_at":211},289403,"3.7.1","立即下载并运行 Kong 3.7.1：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.7.1 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.7.1\u002Fchangelog\u002F3.7.1\u002F3.7.1.md)","2024-06-21T09:38:32",{"id":213,"version":214,"summary_zh":215,"released_at":216},289404,"3.7.0","立即下载并运行 Kong 3.7.0：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.7.0 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.7.0\u002Fchangelog\u002F3.7.0\u002F3.7.0.md)","2024-05-28T16:00:45",{"id":218,"version":219,"summary_zh":220,"released_at":221},289405,"3.6.1","立即下载并运行 Kong 3.6.1：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.6.1 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.6.1\u002Fchangelog\u002F3.6.1\u002F3.6.1.md)","2024-03-04T14:19:57",{"id":223,"version":224,"summary_zh":225,"released_at":226},289406,"3.6.0","立即下载并运行 Kong 3.6.0：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.6.0 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.6.0\u002Fchangelog\u002F3.6.0\u002F3.6.0.md)","2024-02-09T22:08:50",{"id":228,"version":229,"summary_zh":230,"released_at":231},289407,"3.5.0","立即下载并运行 Kong 3.5.0：\n\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\n[Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n\n[3.5.0 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.5.0\u002Fchangelog\u002F3.5.0\u002F3.5.0.md)","2023-11-08T09:50:40",{"id":233,"version":234,"summary_zh":235,"released_at":236},289408,"3.4.2","这是一个补丁版本，用于修复 [CVE-2023-44487](https:\u002F\u002Fnvd.nist.gov\u002Fvuln\u002Fdetail\u002FCVE-2023-44487)。\n\n**立即下载并运行 Kong 3.4.2：**\n\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\n- [Docker 镜像](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\n链接：\n- [3.4.2 更改日志](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.4.x\u002Fchangelog\u002F3.4.2\u002F3.4.2.md)","2023-10-12T10:50:05",{"id":238,"version":239,"summary_zh":240,"released_at":241},289409,"3.4.1","Download Kong 3.4.1 and run it now:\r\n\r\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n- [Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n\r\n- [3.4.1 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.4.x\u002Fchangelog\u002F3.4.1\u002F3.4.1.md)","2023-10-03T10:33:19",{"id":243,"version":244,"summary_zh":245,"released_at":246},289410,"2.8.4","**Download Kong 2.8.4 and run it now:**\r\n\r\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n- [Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n- [2.8.4 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002F2.8.4\u002FCHANGELOG.md#284)","2023-09-20T23:03:15",{"id":248,"version":249,"summary_zh":250,"released_at":251},289411,"3.4.0","Download Kong 3.4.0 and run it now:\r\n\r\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n[Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n\r\n[3.4.0 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.4.x\u002FCHANGELOG.md#340)","2023-08-09T15:57:37",{"id":253,"version":254,"summary_zh":255,"released_at":256},289412,"3.3.1","Download Kong 3.3.1 and run it now:\r\n\r\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n[Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n\r\n[3.3.1 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.3.x\u002FCHANGELOG.md#331)","2023-07-11T08:58:57",{"id":258,"version":259,"summary_zh":260,"released_at":261},289413,"3.3.0","Download Kong 3.3.0 and run it now:\r\n\r\nhttps:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n[Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n\r\n[3.3.0 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.3.x\u002FCHANGELOG.md#330)","2023-05-18T17:19:41",{"id":263,"version":264,"summary_zh":265,"released_at":266},289414,"3.2.2","**Download Kong 3.2.2 and run it now:**\r\n\r\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n- [Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n- [3.2.2 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.2.x\u002FCHANGELOG.md#322)","2023-03-16T12:24:30",{"id":268,"version":269,"summary_zh":270,"released_at":271},289415,"3.2.1","**Download Kong 3.2.1 and run it now:**\r\n\r\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n- [Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n- [3.2.1 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Frelease\u002F3.2.x\u002FCHANGELOG.md#321)","2023-03-01T09:04:00",{"id":273,"version":274,"summary_zh":275,"released_at":276},289416,"3.2.0","**Download Kong 3.2.0 and run it now:**\r\n\r\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\r\n- [Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\r\n\r\nLinks:\r\n- [3.2.0 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002Fmaster\u002FCHANGELOG.md#320)","2023-02-21T05:27:51",{"id":278,"version":279,"summary_zh":280,"released_at":281},289417,"3.0.2","**Download Kong 3.0.2 and run it now:**\n\n- https:\u002F\u002Fkonghq.com\u002Finstall\u002F\n- [Docker Image](https:\u002F\u002Fhub.docker.com\u002F_\u002Fkong\u002F)\n\nLinks:\n- [3.0.2 Changelog](https:\u002F\u002Fgithub.com\u002FKong\u002Fkong\u002Fblob\u002F3.0.2\u002FCHANGELOG.md#302)","2022-12-09T21:27:36"]