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Woozlit AI - Agentic Coding Assistant

Package Exports

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    Readme

    Woozlit CLI

    Command-line interface for Woozlit AI - an agentic coding assistant.

    Installation

    npm install -g woozlit

    Features

    • Agentic AI: Executes complex tasks (coding, testing, deployment) autonomously
    • MCP Support: Use external tools (Computer Use, Filesystem, etc.) via Model Context Protocol
    • System Control: Full access to shell commands, file system, and background processes
    • Auto-Correction: Automatically detects and attempts to fix errors during execution
    • Rollback: Undo AI file changes with /rollback command
    • History: Local conversation history with 1-week retention
    • Cross-Platform: Windows, macOS, and Linux support with platform-aware commands

    Usage

    Start Chat

    woozlit
    # or
    woozlit chat

    Login

    woozlit login

    Opens browser for authentication. Required before using chat.

    Logout

    woozlit logout

    Check Current User

    woozlit whoami

    Single Question

    woozlit ask "create a hello world file"

    Select Model

    woozlit config model

    Manage Rules

    woozlit rules list
    woozlit rules add "always use typescript"
    woozlit rules clear

    Initialize Project

    woozlit init

    Creates .woozlit/ folder with rules.md and context.md.

    Chat Commands

    Inside chat session:

    Command Description
    /exit Exit chat
    /clear Clear conversation
    /model Switch AI model
    /mcp List connected tools
    /usage Check token usage
    /rollback Undo last AI file change
    /help Show help

    Available Models

    All models are provided via OpenRouter:

    • MiMo V2 (default)
    • Qwen3 235B / Coder
    • Llama 3.3 70B / 4 Maverick
    • Devstral Small
    • Mistral Small 3.2
    • Nemotron Nano 12B
    • Kimi K2
    • GLM 4.5 Air
    • Kat Coder Pro
    • DeepSeek R1T Chimera
    • more soon

    MCP Support

    Woozlit CLI supports the Model Context Protocol (MCP), allowing the AI to use external tools.

    Manage MCP Servers:

    Install servers from GitHub or built-in presets:

    # Install specific tools (e.g. Chrome Control)
    woozlit mcp install mcp-chrome-bridge
    # Follow the on-screen instructions to finish setup
    
    # Install any MCP server from GitHub
    woozlit mcp install https://github.com/owner/repo.git

    2. Manual Configuration

    You can also manually add servers via CLI or config file.

    CLI:

    # Add standard MCP server (stdio)
    woozlit mcp add sqlite uvx mcp-server-sqlite --db test.db
    
    # Add HTTP MCP server (e.g. for bridges)
    woozlit mcp add-http mcp-chrome http://127.0.0.1:12306/mcp

    Config File (mcp.json): Create a mcp.json file in your project root or home directory (~/.woozlit/mcp.json):

    {
      "mcpServers": {
        "mcp-chrome": {
          "type": "streamable-http",
          "url": "http://127.0.0.1:12306/mcp"
        },
        "my-server": {
          "type": "stdio",
          "command": "node",
          "args": ["./server.js"]
        }
      }
    }

    Once added, the AI can automatically discover and use tools provided by these servers.

    Use /mcp in the chat to see currently active tools.