aidevops Agent工作流 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
aidevops Agent工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
aidevops Agent工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 克隆仓库 git clone https://github.com/marcusquinn/aidevops cd aidevops # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 aidevops --help # 基本运行 aidevops [options] <input> # 详细使用说明请查阅文档 # https://github.com/marcusquinn/aidevops
# aidevops 配置说明 # 查看配置选项 aidevops --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export AIDEVOPS_CONFIG="/path/to/config.yml"

| Area | What aidevops provides |
|---|---|
| **Software delivery** | Planning, implementation, debugging, review, CI, releases, deployment, and maintenance through linked worktrees and evidence gates |
| **Autonomous operations** | Pulse supervision, workers, missions, routines, scheduling, diagnostics, recovery, and budget-aware concurrency |
| **Knowledge and continuity** | Repository-owned tasks, plans, decisions, evidence, memory, knowledge ingestion, search, and session handoffs |
| **Security and privacy** | Secret hygiene, prompt-injection defence, source-access approvals, supply-chain checks, operation verification, Vault, and audit trails |
| **Infrastructure** | Hosting, DNS, networking, containers, cloud platforms, local development, monitoring, deployment, and object storage guidance |
| **Product and business** | Product strategy, PRDs, analytics, onboarding, monetisation, accounting, invoices, reports, and operational routines |
| **Growth and communication** | SEO/GEO, content, PR, email, outreach, paid ads, CRO, social workflows, and communications platforms |
| **External data** | Native data providers and authorized extraction first, with cost-gated GetAnyAPI fallback access whose usage evidence guides graduation into direct aidevops subagents |
| **Creative production** | Design systems, UI, browser/mobile verification, images, 3D/CAD, audio, video, animation, documents, and report exports |
| **Extensibility** | Custom agents, imported skills, private agent sources, MCPs, API helpers, OpenAPI exploration, and project bundles |
For YouTube transcripts, python3 .agents/scripts/youtube-transcript.py VIDEO_ID tries captions, then local speech-to-text, and emits timestamped JSON. Hosted TranscriptAPI access is opt-in (--source api). See the transcription guide for setup, Mac dictation alternatives, access boundaries, and optional local anonymous speaker diarization.
The domain index is the human-readable map from user intent to specialist guidance. The generated capability registry separately records runtime readiness requirements.
Catalogue is not readiness. A listed capability may still require local deployment, compatible runtime support, installation, configuration, authentication, authorization, network reachability, or explicit operator approval. aidevops checks these states before provider actions and falls back rather than pretending unavailable tooling worked.
aidevops itself is mostly Markdown, shell, Python, and TypeScript/Bun tooling. Most software, infrastructure, research, and operational workflows use cloud models and do not require a local GPU. Media generation, local models, creative applications, simulators, and voice pipelines have their own optional hardware and platform requirements.
The framework is developed primarily on macOS and includes Linux support for documented workflows. Individual tools may require a specific operating system, architecture, desktop application, licence, API account, or human-present authorization. Check platform support and capability readiness before installation or execution.
Common command-line dependencies are discovered by setup rather than assumed. git, curl, jq, fd, and ripgrep cover many core workflows; optional tools are installed or configured only through their documented, consent-aware paths.
New to aidevops? Work through these six steps once, in order, so nothing is missed. Commands are safe to rerun. For a guided version, type /onboarding in an AI session after step 2.
brew install marcusquinn/tap/aidevops && aidevops update # macOS (Homebrew)
npm install -g aidevops && aidevops update # Linux / cross-platform
Setup deploys agents to ~/.aidevops/agents/, installs and configures OpenCode, and offers optional tools. Accept Tabby when offered. Other methods: Installation. Check the result with aidevops status; aidevops doctor --fix resolves duplicate installs and PATH conflicts.
bash <(curl -fsSL https://aidevops.sh/install)
aidevops status
aidevops doctor
aidevops update
For the full first-run checklist (providers, project layout, automation), see Quick Setup.
/onboarding for account-level setup.aidevops init inside the repository./setup-git when the repository needs platform-specific secrets or workflows./skills recommend "TASK" to discover a route.Initialize selected features when a repository needs less than the default set:
aidevops init planning
aidevops init planning,git-workflow,code-quality
aidevops init deployment-context
aidevops init wordpress-context
Depending on selected features and existing files, initialization can add:
- .aidevops.json for repository feature and workflow metadata. - .agents/AGENTS.md for project-specific AI guidance. - TODO.md and todo/ for tasks, plans, PRDs, and verification state. - DESIGN.md for repositories with a detected interface. - context/keywords.md search targets (keywords, AI-answer questions, entities) for standard-scope repositories; public repositories keep the data in a private team hub (standard). - Deployment and WordPress context manifests when explicitly selected. - Standard project courtesy files only when they do not already exist.
Repository registration lives in ~/.config/aidevops/repos.json; updates can then check initialized projects for framework and template drift.
| File | Purpose |
|---|---|
[~/.config/aidevops/config.jsonc](.agents/reference/configuration.md) | Framework updates, models, safety, quality, orchestration, and paths |
[~/.config/aidevops/settings.json](.agents/reference/configuration.md) | User preferences and onboarding state |
~/.config/aidevops/repos.json | Registered repositories, platforms, bundles, Pulse, and context metadata |
.aidevops.json | Repository-local feature and workflow configuration |
configs/*.json.txt | Safe committed templates for service configuration |
configs/*.json | Gitignored working service configuration |
aidevops config list
aidevops config validate
aidevops config set updates.auto_update false
Precedence is AIDEVOPS_* environment variables, then user configuration, then built-in defaults. Store secrets with aidevops secret; do not put credential values in committed templates, command arguments, logs, or AI conversations.
opencode auth login # choose "OpenCode Go", paste the key
opencode auth login # choose "NanoGPT", paste the key
npm install -g aidevops && aidevops updateaidevops, ~/.aidevops/agents/AGENTS.md, runtime commands and skillssimple, standard, and thinking workload tiersaidevops combines CLI tools, shell/Python/TypeScript helpers, direct APIs, OpenAPI exploration, browser automation, and on-demand MCP servers. MCPs remain disconnected until an approved specialist needs them, reducing idle processes, tool-schema context, and accidental authority.
Integration families include:
| Goal | Entry point |
|---|---|
| Discover capabilities | /skills recommend "TASK" or aidevops skills |
| Define a complex objective | /define, /goals, /mission |
| Plan implementation | /show-plan, PRD/task workflows, TODO.md |
| Implement through PR | /full-loop "TASK" |
| Review code or a PR | /review, /cross-review |
| Run repository checks | .agents/scripts/linters-local.sh --changed |
| Supervise autonomous work | /pulse, /dashboard, /runners |
| Create a recurring operation | /routine |
| Work with protected data | /vault |
| Audit SEO/GEO | /seo-audit, /seo-geo |
| Learn browser work | /auto-browse |
| Produce an editable artifact | /3d-modelling, /video, /audio, /design-artifact |
| Render a report | /report-render |
| Capture or recall a lesson | /remember, /recall, /patterns |
Runtime command names may be namespaced, such as /aidevops-full-loop, where a client reserves or groups slash commands differently. OpenCode exposes main agents in its agent picker.
aidevops 是一个基于 OpenCode 插件构建的 AI DevOps 自动化运维平台。它通过 11 个核心 AI Agents 覆盖了从开发、业务到市场及创意项目的全流程管理。该框架旨在处理所有可自动化的重复性工作,让开发者能够从繁琐的任务中解脱出来,专注于 AI 尚无法触及的深度决策与现实世界的探索。
aidevops 提供“AI 优先”的基础设施管理能力,支持 SSH 服务器访问���远程命令执行、API 集成以及 DNS 与域名管理。它能够自动化部署应用、监控邮件、管理 Git 平台并进行 WordPress 运维与代码审计。此外,通过 Pulse supervisor 实现自主编排(Autonomous Orchestration),让 AI 能够像人类运维人员一样协同工作。
在使用 GitHub AI Agent 集成功能时,需要预先配置必要的 GitHub Labels 以确保安全流程。系统要求创建名为 `ai-approved`(用于标记 AI 可处理的任务)和 `security-review`(用于标记需要安全审计的任务)的标签。此外,建议通过 `.github/workflows/opencode-` 配置安全工作流,以确保 AI 操作符合预期的权限规范。
推荐使用 npm 进行安装:执行 `npm install -g aidevops && aidevops update`。请注意,npm 会抑制 postinstall 输出,因此必须运行 `update` 命令来将 Agents 部署至 `~/.aidevops/agents/`。追求极致速度的开发者可以使用 Bun 进行安装。此外,针对特定设计辅助工具,可以使用 `open-design-helper.sh` 进行安装或执行增量安装。
项目提供了快速启动指南,帮助开发者快速进入工作状态。通过 `aidevops` CLI 命令行工具,用户可以管理本地 Agents 状态。对于设计相关的辅助功能,��以通过 `open-design-helper.sh status` 来检查可选组件的状态,并在配置好 localdev 后通过指定的本地域名进行访问。
aidevops 引入了创新的设计工作流,将设计视为一个独立的 Stack。它支持 Google `DESIGN.md` 标准,通过 YAML tokens、linting 和品牌库实现 AI 可读的设计系统。所有的设计技能(Skills)都会经过 aidevops 的 build-agent 方法论进行评估、去重并扁平化处理,确保其符合 `*-skill.md` 的结构规范。
aidevops 是一个 AI 辅助的 DevOps 自动化框架。推荐的运行环境为 OpenCode 结合 OpenAI GPT-5.5 或 GPT-5.4 mini 模型。技术栈基于 Bash 脚本、TypeScript (Bun) 以及 MCP 协议。用户可以通过 `aidevops` CLI 或查看 `~/.aidevops/agents/AGENTS.md` 进行交互。对于 Google AI Pool,系统支持通过 ADC bearer tokens 自动注入凭证。
aidevops 实现了深度集成的 GitHub AI Agent 工作流。开发者可以直接在 GitHub Issue 中通过评论 `/oc fix this` 来触发 AI 修复任务。AI 会自动创建分支、实现修复代码并提交 PR。整个流程遵循“安全第一”的设计原则,仅允许受信任用户操作,并强制要求 Issue 必须带有 `ai-approved` 标签。
如果遇到 “Anthropic Key Missing” 或 “OpenAI Key Missing” 等身份验证错误,或者模型停止响应,可以通过 `aidevops model-accounts-pool status` 命令检查账号池的健康状况。该命令可以统计当前可用、受限(rate-limited)或存在认证错误(auth-error)的账号数量,帮助快速定位问题。
融合AI智能体与DevOps的创新项目,token优化设计实用,但维护活跃度需关注,适合有运维经验的开发者。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,aidevops Agent工作流 在Agent工作流赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | aidevops |
| 原始描述 | 开源AI工作流:Vibe-Coding is easy. DevOps is hard. OpenCode & Git token-efficient AI agent aut。⭐245 · Shell |
| Topics | AI智能体DevOps自动化工作流编排代码优化开源工具 |
| GitHub | https://github.com/marcusquinn/aidevops |
| License | MIT |
| 语言 | Shell |
收录时间:2026-05-18 · 更新时间:2026-05-20 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
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