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20 个仓库

Awesome GitHub RepositoriesAgent Deployments

Deploys AI agents to production via managed infrastructure with one-click GitHub integration.

Distinct from Managed Infrastructure Deployment: Distinct from Managed Infrastructure Deployment: focuses on deploying AI agents specifically, not general data processing pipelines.

Explore 20 awesome GitHub repositories matching devops & infrastructure · Agent Deployments. Refine with filters or upvote what's useful.

Awesome Agent Deployments GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • travis-ci/travis-citravis-ci 的头像

    travis-ci/travis-ci

    8,490在 GitHub 上查看↗

    Travis CI is a continuous integration platform and CI/CD pipeline orchestrator that automates the testing and building of code changes from version control systems. It functions as a multi-language test runner and build infrastructure manager, ensuring software quality through automated testing across various programming languages and runtimes. The platform is distinguished by its use of virtual-machine-based isolation for reproducible environments and a configuration-driven approach to pipeline generation. It supports complex testing strategies through parallel matrix execution, allowing job

    Enables pushing verified code to a dedicated production environment after the successful completion of build and test pipelines.

    在 GitHub 上查看↗8,490
  • collabnix/dockerlabscollabnix 的头像

    collabnix/dockerlabs

    8,008在 GitHub 上查看↗

    dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of containerization and microservice architecture. It provides instructional material and hands-on exercises covering image optimization, security training, infrastructure setup, and cluster orchestration. The project features specific courses and guides focused on reducing image size through multi-stage builds, securing workloads via vulnerability scanning and encrypted networks, and deploying multi-node clusters with high availability using Swarm orchestration. The materials cover a br

    Presents best practices for ensuring containerized services are stable, scalable, and secure in production.

    PHPadvancebeginnersdocker
    在 GitHub 上查看↗8,008
  • mimecorg/vuidomimecorg 的头像

    mimecorg/vuido

    6,062在 GitHub 上查看↗

    Vuido is a framework for building native desktop applications for Windows, macOS, and Linux using Vue.js components, without requiring Electron or Chromium. It maps Vue components directly to native widgets from the libui library, creating lightweight applications that run on a single-threaded event loop and compile templates at build time for optimized runtime performance. The framework provides a complete Vue.js component-to-native bridge, enabling two-way data binding via v-model, component-based window composition, and platform-specific package generation for distributing executables. It

    Creates optimized and minified application bundles excluding debugging code for packaging.

    JavaScriptdesktoplibuivue
    在 GitHub 上查看↗6,062
  • voltagent/voltagentVoltAgent 的头像

    VoltAgent/voltagent

    6,020在 GitHub 上查看↗

    Provides managed infrastructure deployment for AI agents with one-click GitHub integration.

    TypeScriptagentsaiai-agents
    在 GitHub 上查看↗6,020
  • getstream/vision-agentsGetStream 的头像

    GetStream/Vision-Agents

    6,029在 GitHub 上查看↗

    Packages a multi-modal AI agent into a container using CPU or GPU Dockerfiles for production.

    Pythonagentic-aiagentsai
    在 GitHub 上查看↗6,029
  • maximegris/angular-electronmaximegris 的头像

    maximegris/angular-electron

    5,725在 GitHub 上查看↗

    Angular Electron is a project scaffolding tool that generates a preconfigured desktop application template combining Angular's web framework with Electron's native runtime. It produces cross-platform executables for Windows, macOS, and Linux from a single codebase, while providing a development server with hot reload that automatically refreshes the Electron renderer process when Angular source files change. The project handles the architectural complexity of running Angular inside Electron by separately bundling Node.js modules for the main process and Angular modules for the renderer proces

    Compiles the application into an optimized bundle ready for distribution.

    TypeScript
    在 GitHub 上查看↗5,725
  • googlecloudplatform/agent-starter-packGoogleCloudPlatform 的头像

    GoogleCloudPlatform/agent-starter-pack

    5,752在 GitHub 上查看↗

    Deploys GenAI agents to production with infrastructure-as-code, CI/CD pipelines, and automated rollback capabilities.

    Pythonagentsgcpgemini
    在 GitHub 上查看↗5,752
  • yeoman/generator-angularyeoman 的头像

    yeoman/generator-angular

    5,675在 GitHub 上查看↗

    This is a Yeoman generator that scaffolds AngularJS projects and components. It automates the setup of a complete AngularJS application with boilerplate code, directory structure, and optional dependencies, while also providing standalone sub-generators for creating controllers, directives, filters, services, views, and routes. The generator handles module registration automatically, injecting generated files into the AngularJS module system and patching route configuration files when new routes are created. It supports generating code in CoffeeScript or TypeScript through a command-line flag

    Provides a production build step that optimizes assets and applies production-ready settings.

    JavaScript
    在 GitHub 上查看↗5,675
  • pyspur-dev/pyspurPySpur-Dev 的头像

    PySpur-Dev/pyspur

    5,677在 GitHub 上查看↗

    Publishes a completed agent workflow as a one-click API endpoint for integration into external applications.

    TypeScriptagentagentsai
    在 GitHub 上查看↗5,677
  • rllm-org/rllmrllm-org 的头像

    rllm-org/rllm

    5,641在 GitHub 上查看↗

    rllm is an asynchronous reinforcement learning framework for training language agents. It provides a unified pipeline that runs the same agent code for both evaluation and training, automatically capturing traces for gradient computation. The framework supports distributed reinforcement learning across multiple GPUs and nodes using pluggable backends, and executes agents in isolated sandboxes—either locally or in the cloud—for safe and scalable rollout collection. It trains agents built with LangGraph, SmolAgents, OpenAI Agents SDK, or custom frameworks without requiring core logic changes. T

    Deploys containerized agents to an auto-scaling, sandboxed runtime that isolates each session in a separate microVM.

    Pythonagent-frameworkagentic-workflowcoding-agent
    在 GitHub 上查看↗5,641
  • bc-security/empireBC-SECURITY 的头像

    BC-SECURITY/Empire

    5,045在 GitHub 上查看↗

    Empire is a post-exploitation command-and-control (C2) framework designed for red team operations. It deploys and manages agents written in PowerShell, Python, C#, Go, and C across Windows, Linux, and macOS, using encrypted communication channels over HTTP, HTTPS, and SMB. The framework executes over 400 built-in modules for reconnaissance, privilege escalation, credential theft, and lateral movement, and provides a modular engine for authoring custom attack modules. What sets Empire apart is its multi-language agent deployment system, which allows operators to choose implants that suit each

    Deploys lightweight Go-based agents for Windows systems, optimized for performance and portability.

    PowerShellc2empirehacktoberfest
    在 GitHub 上查看↗5,045
  • preactjs/preact-clipreactjs 的头像

    preactjs/preact-cli

    4,669在 GitHub 上查看↗

    preact-cli 是一个用于使用 Preact 库进行脚手架搭建、开发和构建应用程序的命令行工具。它提供了一个基于 Webpack 的构建流水线,用于协调代码转换、资产优化和生产编译。 该工具包包括一个静态站点预渲染器,用于将应用程序路由转换为静态 HTML 文件,以及一个用于生成 Service Worker 和离线资产缓存的 PWA 开发工具包。它还作为一个前端开发服务器,具有热模块替换(HMR)和用于实时应用程序迭代的代理功能。 该项目涵盖了广泛的能力,包括项目脚手架、通过自动基于路由的代码分割进行的构建优化,以及 CSS 预处理流水线的集成。它还支持环境变量的管理,以及通过插件和覆盖配置进行构建定制。

    Compiles the application into optimized static assets ready for production deployment.

    JavaScriptclihacktoberfesthttp2
    在 GitHub 上查看↗4,669
  • apostrophecms/apostropheapostrophecms 的头像

    apostrophecms/apostrophe

    4,524在 GitHub 上查看↗

    Apostrophe is an open-source Node.js headless content management system that delivers structured content through REST APIs while providing a visual in-context page editor for live editing. It is built on a module-based plugin architecture that extends CMS functionality through reusable modules, each encapsulating logic, configuration, and templates. The system uses schema-driven content modeling to define data structures and validation rules through configurable schemas and custom field types, with all content stored as flexible JSON-like documents in MongoDB. The platform distinguishes itsel

    Configures a Node.js and MongoDB content management system for production environments with appropriate security and performance settings.

    JavaScriptapostrophecmscms-framework
    在 GitHub 上查看↗4,524
  • vercel/geist-fontvercel 的头像

    vercel/geist-font

    3,249在 GitHub 上查看↗

    Geist is an open-source font family and typography collection designed for high legibility in technical interfaces. It consists of a series of web-optimized typefaces, including geometric sans-serif, monospaced, and pixel styles. The collection functions as a variable font library, utilizing coordinate interpolation to allow precise control over weight and style within a single font file. These fonts are built as OpenType typefaces, incorporating standardized layout tables to define advanced typographic behaviors such as kerning and ligatures. The project provides specific implementations fo

    Reverts the production environment to a previous stable state to recover from breaking changes.

    HTMLfontvariable-fonts
    在 GitHub 上查看↗3,249
  • datawhalechina/vibe-vibedatawhalechina 的头像

    datawhalechina/vibe-vibe

    3,126在 GitHub 上查看↗

    vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys

    Transforms local projects into stable, publicly accessible production environments with integrated monitoring.

    agentagentic-aiai
    在 GitHub 上查看↗3,126
  • e2b-dev/code-interpretere2b-dev 的头像

    e2b-dev/code-interpreter

    2,348在 GitHub 上查看↗

    This project is an infrastructure platform designed to provide secure, isolated, and ephemeral cloud-based Linux environments for AI agents and automated code execution. It functions as an orchestrator that provisions on-demand virtual machines, allowing developers to run arbitrary code generated by large language models within hardware-level security boundaries. The platform distinguishes itself through its ability to manage stateful, long-lived sessions that persist across multiple execution calls, enabling complex, multi-step workflows. It supports high-concurrency scaling, allowing for th

    Orchestrates the provisioning and management of secure, on-demand virtual machine environments for parallel computation.

    Pythonaiai-data-analysisanthropic
    在 GitHub 上查看↗2,348
  • netlify/clinetlify 的头像

    netlify/cli

    1,893在 GitHub 上查看↗

    This developer command-line tool manages deployments, configures serverless functions, and provisions resources for a cloud hosting platform. It provides a terminal utility to automate project deployment, environment variable management, and database provisioning for web applications, while also serving as a local development server that simulates production routing and proxy rules. The tool handles deployment workflows by synchronizing web projects through file hashing, artifact caching, and real-time progress tracking. It coordinates serverless function lifecycles with hot reloading across

    Builds your project for production and hosts the output locally without watching for source changes.

    TypeScriptclinetlify
    在 GitHub 上查看↗1,893
  • ngx-rocket/starter-kitngx-rocket 的头像

    ngx-rocket/starter-kit

    1,263在 GitHub 上查看↗

    Starter-kit is an enterprise-grade starter kit and development toolkit for Angular applications, providing project scaffolding, boilerplate generation, and command-line automation. It establishes a structured foundation for large-scale web development with built-in ahead-of-time template compilation, module-based dependency injection, and client-side single-page application routing. The command-line automation utilities support rapid code generation for components, directives, pipes, services, classes, and modules alongside a local development server with live reloading and backend API reque

    Compiles application source code into optimized static bundles ready for production deployment.

    TypeScriptangularangular-clibootstrap
    在 GitHub 上查看↗1,263
  • remix-run/examplesremix-run 的头像

    remix-run/examples

    1,216在 GitHub 上查看↗

    该仓库是 Remix Web 框架的参考实现合集。它提供了全栈 Web 开发的实际示例,展示了如何构建动态的、服务器渲染的应用程序,将服务器端逻辑与客户端交互性桥接起来。通过利用基于组件的架构,这些示例说明了在统一开发环境中管理数据、路由和用户界面的核心模式。 该合集突出了框架独特的 Web 架构方法,强调服务器端数据加载和镜像 URL 结构的嵌套路由层级。这些示例展示了如何通过专门的服务器端 Action 处理状态变更请求,并通过渐进增强确保应用功能,即使在客户端脚本完全加载之前,功能也能保持运行。 除了基础模式,该仓库还涵盖了广泛的集成能力,包括安全身份验证和会话管理、实时数据同步以及外部 API 连接。它还提供了关于生产就绪工作流的指导,例如后台任务处理、安全支付处理以及数据库请求批处理和资源延迟加载等性能优化技术。 这些示例作为一组模块化项目进行维护,为开发者提供了直接了解如何构建应用、强制执行代码质量和自动化部署管道的机会。每个实现都作为常见 Web 开发任务的功能模板,范围从内容管理和表单处理到复杂的 UI 交互。

    Creates minimal production container images using multi-stage builds to reduce the final deployment footprint.

    TypeScript
    在 GitHub 上查看↗1,216
  • aplus-framework/appaplus-framework 的头像

    aplus-framework/app

    594在 GitHub 上查看↗

    This project is a PHP web application framework designed to provide a structured foundation for building and scaling applications. It utilizes a model-view-controller architecture to separate data management, user interface rendering, and request handling, while employing a service container to manage dependency injection and modular code organization. The framework distinguishes itself by integrating a comprehensive suite of development and maintenance tools directly into the ecosystem. It features a command-line interface for automating repetitive tasks and managing application state, along

    Offers configuration options for deploying web applications to production server infrastructure.

    PHPaplusaplus-frameworkapp
    在 GitHub 上查看↗594
  1. Home
  2. DevOps & Infrastructure
  3. Cloud Infrastructure Deployment
  4. Managed Infrastructure Deployment
  5. Agent Deployments

探索子标签

  • Containerized Agent PackagesPackages a multi-modal AI agent into a container using CPU or GPU Dockerfiles for production deployment. **Distinct from Agent Deployments:** Distinct from Agent Deployments: focuses on container packaging, not managed infrastructure deployment.
  • MicroVMDeploying containerized agents to an auto-scaling, sandboxed runtime that isolates each session in a separate microVM for secure parallel rollouts. **Distinct from Agent Deployments:** Distinct from Agent Deployments: adds auto-scaling, per-session microVM isolation for parallel rollouts, not just one-click GitHub integration.
  • One-Click API ExposuresPublishing completed agent workflows as one-click API endpoints for integration into external applications. **Distinct from Agent Deployments:** Distinct from Agent Deployments: focuses on exposing workflows as API endpoints with a single click, not general agent deployment to cloud infrastructure.
  • Production Deployments4 个子标签Deploys GenAI agents to managed runtimes with infrastructure-as-code, CI/CD pipelines, and automated rollback capabilities. **Distinct from Agent Deployments:** Distinct from Agent Deployments: focuses on production-grade deployments with rollback and CI/CD, not just any agent deployment.