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    cloudshipai

    Cartograph

    v0.2.0其他
    @cloudshipai/cartograph

    Visual codebase mapping plugin for OpenCode - auto-generates architecture diagrams as you code

    GitHub 星标

    39

    月装机量

    19

    近 7 天 6

    综合评分SCORE

    28.7

    生态多维模型

    最近提交

    7 个月前

    2026-01-05

    快速安装与配置

    opencode.json

    写入当前项目的 opencode.json,只对这个仓库生效。

    opencode.json

    {
      "$schema": "https://opencode.ai/config.json",
      "plugin": ["@cloudshipai/cartograph@0.2.0"]
    }

    opencode 启动时会通过内嵌运行时自动加载 npm 依赖并缓存至本地目录,无需手动在全局环境执行安装。

    npm version License: MIT OpenCode Plugin CI

    Visual codebase mapping plugin for OpenCode — auto-generates architecture diagrams as you code

    Cartograph runs silently in the background while you use OpenCode. No commands to run. No tools to invoke. Just install and open the web UI at http://localhost:3333.


    Quick Install

    bunx @cloudshipai/cartograph install
    

    That's it! The installer automatically adds Cartograph to your OpenCode config.


    Features

    • Zero Configuration — Plugin auto-starts a visualization server
    • Live Updates — Diagrams update in real-time as you (or AI) make changes
    • Mermaid Diagrams — Architecture, dataflow, sequence, class, state, ER, dependency
    • Interactive UI — Expand/collapse diagrams, view source, dark theme
    • Multi-Language — TypeScript, JavaScript, Python, Go

    What You'll See

    Open http://localhost:3333 after installing:

    Feature Description
    Architecture Diagrams High-level system component visualization
    Dataflow Diagrams How data moves through your system
    Sequence Diagrams Interaction flows between components
    Live Updates Diagrams refresh via WebSocket as code changes

    Installation Options

    Option 1: One-liner (Recommended)

    bunx @cloudshipai/cartograph install
    

    Option 2: Manual Config

    Add to ~/.config/opencode/opencode.json:

    {
      "plugin": ["cartograph"]
    }
    

    Option 3: Development Install

    git clone https://github.com/cloudshipai/cartograph.git
    cd cartograph
    bun install
    bun run build
    bunx @cloudshipai/cartograph install
    

    Usage

    Once installed, Cartograph automatically:

    1. Starts when you run opencode
    2. Opens a web UI at http://localhost:3333
    3. Listens for diagram generation requests

    Example Prompts

    Ask the AI to generate diagrams:

    "Generate an architecture diagram of this codebase"
    "Create a sequence diagram for the auth flow"
    "Update the dataflow diagram"
    "Show me a class diagram of the models"
    

    For LLM Agents

    If you're an AI assistant helping a user, Cartograph provides these tools:

    Tool Description
    diagram_types List available diagram types
    diagram_generate Generate a diagram from description
    diagram_update Update a diagram with new Mermaid code
    diagram_prompt Get prompt for generating specific diagram type

    Step-by-step Installation

    # 1. Install Cartograph
    bunx @cloudshipai/cartograph install
    
    # 2. Verify config was updated
    cat ~/.config/opencode/opencode.json
    
    # 3. Start OpenCode
    opencode
    
    # 4. Verify web UI is running
    curl -s http://localhost:3333/api/health
    

    Uninstall

    bunx @cloudshipai/cartograph uninstall
    

    Configuration

    Cartograph works with zero configuration. The plugin uses:

    Setting Value
    Port 3333
    WebSocket ws://localhost:3333
    UI Material Design dark theme

    Supported Diagram Types

    Type Description
    architecture High-level system components
    dataflow Data movement between systems
    sequence Interaction sequences
    class Class relationships
    state State machine diagrams
    er Entity-relationship diagrams
    dependency Module dependency graphs

    How It Works

    ┌─────────────────────────────────────────────────────────────┐
    │                         OpenCode                             │
    │                                                              │
    │  ┌──────────────────────────────────────────────────────┐   │
    │  │              Cartograph Plugin                        │   │
    │  │                                                       │   │
    │  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐  │   │
    │  │  │   Hooks     │  │   Tools     │  │   Server    │  │   │
    │  │  │             │  │             │  │             │  │   │
    │  │  │ • ready     │  │ • generate  │  │ • HTTP :3333│  │   │
    │  │  │ • shutdown  │  │ • update    │  │ • WebSocket │  │   │
    │  │  │ • message   │  │ • types     │  │ • REST API  │  │   │
    │  │  └─────────────┘  └─────────────┘  └──────┬──────┘  │   │
    │  └───────────────────────────────────────────┼──────────┘   │
    └──────────────────────────────────────────────┼──────────────┘
                                                   │
                        ┌──────────────────────────┘
                        │
                        ▼
             ┌──────────────────┐
             │    Web UI        │
             │  localhost:3333  │
             │                  │
             │  ┌────────────┐  │
             │  │  Mermaid   │  │
             │  │  Diagrams  │  │
             │  └────────────┘  │
             └──────────────────┘
    
    1. Plugin loads → starts web server on port 3333
    2. Registers tools → AI can generate/update diagrams
    3. WebSocket connection → real-time diagram updates
    4. Mermaid rendering → diagrams display in browser

    Development

    git clone https://github.com/cloudshipai/cartograph.git
    cd cartograph
    bun install
    
    # Build everything
    bun run build
    
    # Development mode
    bun run dev        # Watch plugin
    bun run dev:web    # Watch web UI
    
    # Run tests
    bun test           # All 65 tests
    bun test:unit      # Unit tests
    bun test:integration  # Integration tests
    

    See DEVELOPMENT.md for detailed development guide.


    Contributing

    Contributions welcome! Please read DEVELOPMENT.md first.


    License

    MIT © CloudShip AI