能力标签
aidevops Agent工作流
⚙️
Agent工作流

aidevops Agent工作流

基于 Shell · 无代码搭建完整 AI 自动化流程
英文名:aidevops
⭐ 245 Stars 🍴 46 Forks 💻 Shell 📄 MIT 🏷 AI 7.5分
7.5AI 综合评分
AI智能体DevOps自动化工作流编排代码优化开源工具
✦ AI Skill Hub 推荐

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。

📚 深度解析

aidevops Agent工作流 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升,基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化(模拟鼠标键盘操作),AI Agent 工作流通过理解任务意图、动态规划执行路径,能够处理更复杂的非结构化任务。

aidevops Agent工作流 工作流的设计遵循"最小配置,最大复用"原则:核心逻辑已经封装好,用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制,在网络波动或 API 限速等情况下仍能稳定运行,适合作为生产环境的自动化基础设施。

在实际部署时,建议先在测试环境中运行 3-5 次,验证各个环节的输出结果符合预期,再部署到生产环境。AI Skill Hub 评分 7.5 分,是同类 Agent 工作流中的精选推荐。

📋 工具概览

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。

GitHub Stars
⭐ 245
开发语言
Shell
支持平台
macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
7.5 分
工具类型
Agent工作流
Forks
46

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

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。

📌 核心特色
  • 可视化 Agent 工作流编排,无需编写复杂代码
  • 支持多步骤自动化任务链,实现全流程无人值守
  • 与外部 API、数据库和第三方服务无缝集成
  • 内置错误处理与自动重试机制,保障稳定运行
  • 提供可复用的自动化模板,快速在同类场景部署
🎯 主要使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 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
📋 安装步骤说明
  1. 访问 GitHub 仓库获取工作流文件
  2. 在对应平台(Dify / Flowise / Make 等)中找到「导入工作流」功能
  3. 上传工作流文件
  4. 按照提示配置必要的环境变量和 API Key
  5. 运行测试确认流程正常后投入使用
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 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
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# 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"
📑 README 深度解析 真实文档 完整度 90/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

AI DevOps Framework

aidevops.sh is an OpenCode plugin and AI DevOps framework for people who want AI to do useful work across code, infrastructure, business, marketing, content, and creative projects without turning every job into another long, fragile chat.

Most AI tools still leave you doing the hard coordination yourself: finding the right context, choosing a model, protecting secrets, managing branches, watching CI, spotting stuck work, and remembering what went wrong last time. aidevops puts structure around that work so agents can share context, work safely in parallel, spend model budget where it matters, and leave the system better than they found it.

Recommended setup: OpenCode + OpenAI models. GPT-5.5 is the preferred high-capability model for complex agent work; GPT-5.4 mini is the preferred fast, lower-cost model for triage and routine implementation. Claude models (Anthropic) remain fully supported, and other model providers are evaluated from time to time as their quality, latency, and cost profiles change.

"Scope a mission to redesign the landing pages — break it into milestones, dispatch workers in parallel, validate each milestone, and track budget across the whole project."

One conversation, autonomous project delivery, with security, teamwork, token efficiency, and quality control built in.

Founded by Marcus Quinn on 9th November 2025 to help anyone level-up their AI & Open-Source game.

**Core Capabilities**

AI-First Infrastructure Management:

  • SSH server access, remote command execution, API integrations
  • DNS management, application deployment, email monitoring
  • Git platform management, domain purchasing, setup automation
  • WordPress management, credential security, code auditing

Autonomous Orchestration:

  • Pulse supervisor - Autonomous AI supervisor runs every 2 minutes via launchd — merges ready PRs, dispatches workers, kills stuck processes, detects orphaned PRs, syncs TODO state with GitHub, triages quality findings, and advances missions. No human in the loop
  • Missions - Multi-day autonomous projects: /mission scopes a high-level goal into milestones and features. The pulse dispatches workers, validates milestones, tracks budget, and advances through the project automatically (mission-dashboard-helper.sh)
  • Multi-model verification - Destructive operations (force push, production deploy, data migration) are verified by a second AI model from a different provider before execution. Different providers have different failure modes, so correlated hallucinations are rare
  • Supervisor - SQLite state machine dispatches tasks to parallel AI agents with retry cycles, batch management, and cron scheduling
  • Runners - Named headless agent instances with persistent identity, instructions, and memory namespaces
  • /runners command - Batch dispatch from task IDs, PR URLs, or descriptions with concurrency control and progress monitoring
  • Self-hosted runner operations - GitHub runner lifecycle, storage, Docker foreground mode, systemd timers, and cleanup race guidance for reliable local/hosted worker capacity
  • Mailbox - SQLite-backed inter-agent messaging for coordination across parallel sessions
  • Worktree isolation - Each agent works on its own branch in a separate directory, no merge conflicts
  • Budget tracking - Append-only cost log (budget-tracker-helper.sh) with burn-rate analysis and /budget-analysis command for model routing decisions
  • Observability - LLM request capture plugin (observability.mjs) for cost tracking, performance analysis, and debugging
  • Rate limits and API budget diagnostics - Per-provider rate-limit configuration, secondary cooldown capture, reset-aware pacing, and compact API budget summaries for pulse and worker decisions

Project Intelligence:

  • Bundles - Project-type presets that auto-configure model tiers, quality gates, and agent routing per repo. 7 built-in bundles (web-app, library, cli-tool, content-site, infrastructure, agent, schema) with auto-detection from marker files (bundle-helper.sh)
  • TTSR rules - Soft rule engine (ttsr-rule-loader.sh) with .agents/rules/ directory for AI output correction (e.g., no-edit-on-main, no-glob-for-discovery)
  • Cross-review - /cross-review dispatches the same prompt to multiple AI models in parallel, diffs results, and optionally auto-scores via a judge model
  • Local models - Run AI models locally via llama.cpp for free, private, offline inference (local-model-helper.sh) with HuggingFace GGUF model management
  • Tech stack lookup - /tech-stack detects technology stacks of URLs or finds sites using specific technologies (Wappalyzer, httpx, nuclei, BuiltWith)
  • IP reputation - ip-reputation-helper.sh checks IP addresses against multiple reputation databases (Spamhaus, ProxyCheck, AbuseIPDB) before VPS purchase or deployment
  • Mobile app guidance - Expo, Swift/Xcode, App Store Connect, simulator automation, push/onboarding/monetisation/testing, and mobile web previews through serve-sim
  • GUI control plane planning - Local-first product scope, stack and repo-layout ADRs, GUI trust boundaries, and threat model for future aidevops UI surfaces

Conversational Memory & Entity System:

  • Entity memory - Cross-channel relationship continuity (entity-helper.sh): people, agents, and services tracked across Matrix, SimpleX, email, and CLI with versioned profiles
  • Conversational memory - Per-conversation context management (conversation-helper.sh): idle detection, immutable summaries, tone profile extraction
  • Three-layer architecture - Layer 0 (immutable raw log), Layer 1 (tactical summaries), Layer 2 (strategic entity profiles) in shared SQLite

Communications:

  • SimpleX bot - Channel-agnostic gateway with SimpleX Chat as first adapter for AI agent dispatch (simplex-bot/)
  • Matterbridge - Multi-platform chat bridge connecting 20+ platforms including Matrix, Discord, Telegram, Slack, IRC, WhatsApp, XMPP (matterbridge-helper.sh)
  • X API via xurl - Official X/Twitter API operations through guarded xurl workflows for search, timelines, bookmarks, posting, replies, DMs, media, and raw API reads. Supports multiple X developer apps/subscription tiers with --app and multiple authenticated accounts with --username; model-provider auth such as OpenCode xAI/Grok remains separate from X API OAuth (content/social-xurl.md, xurl-helper.sh)
  • Localdev - Local development environment manager with dnsmasq, Traefik, mkcert for production-like .local domains with HTTPS (localdev-helper.sh)

MCP Toolkit:

  • MCPorter - Discover, call, compose, and generate CLIs/typed clients for MCP servers (mcporter npm package)
  • OpenAPI Search - Search and explore any OpenAPI specification via MCP (zero install, Cloudflare Worker)
  • Cloudflare Code Mode - Full Cloudflare API (2,500+ endpoints) via 2 tools in ~1,000 tokens

Unified Interface:

  • Standardized commands across all providers
  • Automated SSH configuration and multi-account support for all services
  • Security-first design with comprehensive logging, code quality reviews, and continual feedback-based improvement

Quality Control & Monitoring:

  • Multi-Platform Analysis: SonarCloud, CodeFactor, Codacy, CodeRabbit, Qlty, Gemini Code Assist, Snyk
  • Review gate preferences: choose whether true review-bot rate limits block merges (aidevops review-gate owner/repo wait) or allow merge with follow-up quality coverage (aidevops review-gate owner/repo pass, the default). Per-tool overrides are supported, for example aidevops review-gate owner/repo --tool coderabbitai wait. Failed, skipped, or placeholder bot states are not treated as rate limits and continue to block until a real review/status appears or a human resolves them.
  • Performance Auditing: PageSpeed Insights, Lighthouse, WebPageTest, Core Web Vitals (/performance command)
  • SEO Toolchain: 40+ SEO subagents including Semrush, Ahrefs, ContentKing, Screaming Frog, Bing Webmaster Tools, Rich Results Test, programmatic SEO, analytics tracking, schema validation, content analysis, keyword mapping, and AI readiness
  • SEO Debugging: Open Graph validation, favicon checker, social preview testing
  • Email Deliverability: SPF/DKIM/DMARC/MX validation, blacklist checking
  • Uptime Monitoring: Updown.io integration for website and SSL monitoring

3. Create required labels

gh label create "ai-approved" --color "0E8A16" --description "Issue approved for AI agent" gh label create "security-review" --color "D93F0B" --description "Requires security review" ```

The secure workflow is included at .github/workflows/opencode-agent.yml.

Usage:

ContextCommandResult
Issue (with ai-approved label)/oc fix thisCreates branch + PR
Issue/oc explain thisAI analyzes and replies
PR/oc review this PRCode review feedback
PR Files tab/oc add error handling hereLine-specific fix

See .agents/tools/git/opencode-github-security.md for the full security documentation.

Supported AI tool: OpenCode is the recommended and tested AI coding tool for aidevops. All features, agents, and workflows are designed and tested for OpenCode first. We recommend OpenAI models for the best current results across all agent tiers: GPT-5.4 mini for fast triage/routine work and GPT-5.5 for complex implementation, review, and reasoning. Claude models (Anthropic) remain fully supported, and other providers are tested as their capabilities change.

Recommended stack:

  • OpenCode - The recommended AI coding agent. Powerful agentic TUI/CLI with native MCP support, Tab-based agent switching, LSP integration, plugin ecosystem, and excellent DX. All aidevops features are designed and tested for OpenCode first.
  • OpenCode Zen - Free tier of OpenCode with included models. Start working with AI straight away at no cost -- no API keys or subscriptions required.
  • OpenAI GPT-5.5 / GPT-5.4 mini - Recommended model pair for aidevops today. Use GPT-5.5 for complex reasoning and high-impact agent tiers; use GPT-5.4 mini for triage, routine implementation, and cost-efficient parallel workers.
  • Claude (Anthropic) - Fully supported alternative provider. Claude models remain useful for fallback, cross-provider verification, and users with Claude Pro/Max OAuth access.
  • Tabby - Recommended terminal. Colour-coded Profiles per project/repo, auto-syncs tab title with git repo/branch.
  • Zed - Recommended editor. High-performance with AI integration (use with the OpenCode Agent Extension).

Installation Options

npm (recommended - verified provenance):

npm install -g aidevops && aidevops update
Note: npm suppresses postinstall output. The && aidevops update deploys agents to ~/.aidevops/agents/. The CLI will remind you if agents need updating.

Bun (fast alternative):

bun install -g aidevops && aidevops update

Homebrew (macOS/Linux):

brew install marcusquinn/tap/aidevops && aidevops update

Direct from source (aidevops.sh):

bash <(curl -fsSL https://aidevops.sh/install)

Manual (git clone):

git clone https://github.com/marcusquinn/aidevops.git ~/Git/aidevops
~/Git/aidevops/setup.sh

That's it! The setup script will: - Clone/update the repo to ~/Git/aidevops - Deploy agents to ~/.aidevops/agents/ - Install the aidevops CLI command - Configure your AI assistants automatically - Offer to install Oh My Zsh (optional, opt-in) for enhanced shell experience - Install recommended token-efficiency tooling by default, including RTK for compact git/gh/test/lint command summaries before output reaches AI context - Guide you through recommended tools (Tabby, Zed, Git CLIs) - Ensure all PATH and alias changes work in both bash, zsh, and fish - When Claude Code is installed, add a claude alias that runs claude --dangerously-skip-permissions (skips per-tool permission prompts). Re-running setup updates the alias automatically. To grant permissions per-session instead, press Shift-Tab inside Claude Code to cycle through permission modes (default → skip permissions → auto-approve).

New users: Start OpenCode and type /onboarding to configure your services interactively. OpenCode is the recommended tool for aidevops; pair it with OpenAI GPT-5.5 and GPT-5.4 mini for the best current results across agent tiers. The onboarding wizard will: - Explain what aidevops can do - Ask about your work to give personalized recommendations - Show which services are configured vs need setup - Guide you through setting up each service with links and commands

After installation, use the CLI:

aidevops status           # Check what's installed
aidevops doctor           # Detect duplicate installs and PATH conflicts
aidevops update           # Update framework + check registered projects
aidevops auto-update      # Manage automatic update polling (every 10 min)
aidevops init             # Initialize aidevops in any project
aidevops features         # List available features
aidevops repos            # List/add/remove registered projects
aidevops design           # DESIGN.md detection + brand guideline HTML/PDF exports
aidevops detect           # Scan for unregistered aidevops projects
aidevops upgrade-planning # Upgrade TODO.md/PLANS.md to latest templates
aidevops update-tools     # Check and update installed tools
aidevops uninstall        # Remove aidevops

Print safe install plan only

open-design-helper.sh install

Install alongside aidevops only after opting in

open-design-helper.sh install --execute

Per-repo platform setup

After aidevops init registers a new repo, run /setup-git in your AI assistant to apply per-repo platform secrets. Most notably, this sets SYNC_PAT — a GitHub Actions secret that lets issue-sync.yml push TODO.md auto-completion past branch protection.

This is distinct from /onboarding (per-account credentials like gh auth login): GitHub Actions secrets are scoped per-repo, so each repo needs its own. You need gh auth login to succeed before any per-repo helper can run, so /onboarding comes first, /setup-git second.

Run /setup-git again whenever you register a new repo with aidevops repos add or when a SYNC_PAT advisory appears in the session greeting toast. If you skip this step, issue-sync.yml will post a remediation comment when it hits branch protection — /setup-git walks through the fix.

1. Install the OpenCode GitHub App

**Quick Start**

Optional Design Artifact Studio

aidevops now treats design as a self-contained stack with optional peripherals:

  • Google DESIGN.md standard: AI-readable design systems with YAML tokens, linting, previews, and brand/style libraries (.agents/tools/design/design-md.md).
  • Init-aware design files: aidevops init records has_interface and seeds root DESIGN.md for standard repos plus minimal-scope repos with detected GUI/interface markers.
  • Brand guideline exports: aidevops design guidelines . --pdf generates _reports/brand-guidelines/brand-guidelines.md, HTML, and A4/US Letter/slides PDFs from DESIGN.md.
  • Repo rollout: aidevops design survey --json audits owned initialized GUI repos; aidevops design issues --apply files worker-ready auto-dispatch issues for missing DESIGN.md/brand-guideline artifacts.
  • Design agents and skills: brand identity, palettes, UI inspiration, product UI rules, shadcn/Tailwind/UI skills, Nothing-style design, email rendering, Remotion/video, and browser-based UI verification.
  • Artifact routing commands: /design-artifact decides whether to use aidevops-native implementation or a companion artifact studio; /open-design manages optional Open Design workflows.
  • Verification gates: Playwright screenshots, accessibility/contrast checks, email rendering, deck export/fidelity checks, and media smoke tests before generated artifacts are accepted.

Optional companion: Open Design by nexu-io (Apache-2.0) is supported as a peripheral for live sandboxed previews, design-skill pickers, .od/ artifact workspaces, and HTML/PDF/PPTX/ZIP-style exports. aidevops remains canonical for agents, skill ingestion, Google DESIGN.md, local hosting, and verification.

```bash

Inspect optional companion status

open-design-helper.sh status

→ https://open-design.local when localdev is configured

```

Imported Open Design skills are not copied verbatim. They are evaluated through aidevops build-agent methodology, deduplicated against existing agents, flattened into aidevops *-skill.md structure, attributed to upstream, and given verification commands. See .agents/tools/design/open-design-ingestion.md for the full skill-value matrix.

Project tracking: When you run aidevops init, the project is automatically registered in ~/.config/aidevops/repos.json. Running aidevops update checks all registered projects for version updates.

Repository → Settings → Secrets → OPENAI_API_KEY or ANTHROPIC_API_KEY

Quick Reference

  • Purpose: AI-assisted DevOps automation framework
  • Install: npm install -g aidevops && aidevops update
  • Recommended runtime/models: OpenCode + OpenAI GPT-5.5 / GPT-5.4 mini
  • Entry: aidevops CLI, ~/.aidevops/agents/AGENTS.md
  • Stack: Bash scripts, TypeScript (Bun), MCP servers
  • Recent focus: OpenCode control-plane safety, local repo metrics, mobile simulator testing, self-hosted runner operations, and pulse/worker diagnostics

Opens browser OAuth flow — no API key required

Google AI Pool (Gemini CLI / Vertex AI)

Use your Google AI Pro, AI Ultra, or Workspace subscription for Gemini models. Tokens are injected as ADC bearer tokens that Gemini CLI, Vertex AI SDK, and the Gemini API pick up automatically.

Setup:

```bash

2. Add API key secret for your chosen provider

GitHub AI Agent Integration

Enable AI-powered issue resolution directly from GitHub. Comment /oc fix this on any issue and the AI creates a branch, implements the fix, and opens a PR.

Security-first design - The workflow includes: - Trusted users only (OWNER/MEMBER/COLLABORATOR) - ai-approved label required on issues before AI processing - Prompt injection pattern detection - Audit logging of all invocations - 15-minute timeout and rate limiting

Quick setup:

```bash

Troubleshooting Auth

If you see "Anthropic Key Missing", "OpenAI Key Missing", or the model stops responding, run these commands from any terminal — no working model session required.

Step 1 — Check pool health

aidevops model-accounts-pool status       # counts: available / rate-limited / auth-error
aidevops model-accounts-pool check        # live token validity test per account

Step 2 — Fix based on what you see

SymptomCommand
OpenAI account shows rate-limitedaidevops model-accounts-pool rotate openai
Anthropic account shows rate-limitedaidevops model-accounts-pool rotate anthropic
All accounts in cooldownaidevops model-accounts-pool reset-cooldowns
OpenAI account shows auth-erroraidevops model-accounts-pool add openai (re-auth)
Anthropic account shows auth-erroraidevops model-accounts-pool add anthropic (re-auth)
Pool is empty (no accounts)aidevops model-accounts-pool add openai
Recently re-authenticated, still brokenaidevops model-accounts-pool assign-pending openai
Google Gemini CLI rate-limitedaidevops model-accounts-pool rotate google
Google token expiredaidevops model-accounts-pool add google (re-auth)

Step 3 — If still broken, re-add the account

aidevops model-accounts-pool add openai        # ChatGPT Plus/Pro
aidevops model-accounts-pool add anthropic     # Claude Pro/Max — opens browser OAuth
aidevops model-accounts-pool add cursor        # Cursor Pro (reads from local IDE)
aidevops model-accounts-pool add google        # Google AI Pro/Ultra/Workspace — browser OAuth
aidevops model-accounts-pool import claude-cli # Import from existing Claude CLI auth

Restart OpenCode after any add, rotate, or reset-cooldowns to pick up the new credentials.

Full command reference

aidevops model-accounts-pool status            # Pool health at a glance
aidevops model-accounts-pool list              # Per-account detail + expiry
aidevops model-accounts-pool check             # Live API validity test
aidevops model-accounts-pool rotate [provider] # Switch to next available account NOW
aidevops model-accounts-pool reset-cooldowns   # Clear all rate-limit cooldowns
aidevops model-accounts-pool assign-pending <p># Assign stranded pending token
aidevops model-accounts-pool remove <p> <email># Remove an account
Note: reset-cooldowns clears cooldowns in the pool file. If OpenCode is already running, the in-memory token endpoint cooldown is only cleared when OpenCode restarts or when you use the /model-accounts-pool reset-cooldowns slash command inside an active session.

If you prefer guided help: Open OpenCode with a free model (OpenCode Zen includes free models that don't require any API key or subscription) and run the auth troubleshooting agent by typing:

@auth-troubleshooting

The agent contains the full recovery flow and symptom table. Free models work fine for this — no paid subscription needed.

🇨🇳 中文文档镜像 AI 翻译 2026-05-30
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

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。

⚡ 功能介绍

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。

📋 环境依赖

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。

🛠 安装步骤(Docker/pip/源码)

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。

🚀 使用教程

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。

⚙️ 配置说明(含 MCP / env)

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。

🔌 API 说明

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。

🔄 工作流/模块

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。

❓ FAQ 摘要

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。

🎯 aiskill88 AI 点评 B 级 2026-05-20

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。

📚 实用指南(长尾问题)
适合谁
  • 需要 aidevops 解决具体问题的开发者与运营人员
最佳实践
  • 先在测试环境跑通最小用例,再接入生产数据
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
部署方案
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
aidevops 中文教程aidevops 安装报错怎么办aidevops 与同类工具对比aidevops 最佳实践aidevops 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要 aidevops 解决具体问题的开发者与运营人员
⭐ 最佳实践
  • 先在测试环境跑通最小用例,再接入生产数据
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)

👥 适合人群

自动化工程师和运维人员项目经理和业务分析师希望减少重复性工作的专业人士数字化转型团队

🎯 使用场景

  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +大幅减少重复性人工操作
  • +可视化流程,清晰直观
  • +可扩展性强,支持复杂场景
⚠️ 不足
  • 初始配置和调试需投入一定时间
  • 强依赖外部服务的稳定性
  • 复杂场景需具备一定技术基础
⚠️ 使用须知

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。

📄 License 说明

✅ 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。

🔗 相关工具推荐

📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

在环境变量中设置GIT_TOKEN和API_KEY,工具会自动优化token消耗。
💡 AI Skill Hub 点评

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。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 aidevops Agent工作流
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
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
🔗 原始来源
🐙 GitHub 仓库  https://github.com/marcusquinn/aidevops 🌐 官方网站  https://www.aidevops.sh

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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