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ai-sop

v1.2.2

Published

AI-SOP orchestration framework for knowledge-based and prompt-based Standard Operating Procedures

Downloads

13

Readme

AI-SOP 🎭

AI-SOP orchestration framework for knowledge-based and prompt-based Standard Operating Procedures

npm version License: MIT

🎯 What is AI-SOP?

AI-SOP is a framework for creating, managing, and executing Standard Operating Procedures (SOPs) that are optimized for AI agents. It provides a structured approach to knowledge management and workflow orchestration.

Key Features

  • 🎭 SOP Orchestration: Manage complex workflows with structured procedures
  • 📚 Knowledge Blocks: Organize foundational knowledge and principles
  • 🔄 Sequences: Define step-by-step processes and workflows
  • 🎯 Filters: Apply decision-making frameworks and validation rules
  • 🛠️ CLI Tools: Command-line interface for SOP operations
  • 📊 Registry Management: Centralized SOP registry with metadata
  • 🔧 Extensible: Plugin architecture for custom SOPs and integrations

🚀 Quick Start

Installation

npm install ai-sop

Basic Usage

import { AISop } from 'ai-sop';

// Initialize AI-SOP
const aiSop = new AISop();

// Load SOPs
await aiSop.loadSOPs();

// Execute a specific SOP
const result = await aiSop.executeSOP('work-cycle-protocol', {
  context: 'feature-development'
});

// List available SOPs
const sops = aiSop.listSOPs();

CLI Usage

# List all available SOPs
ai-sop list

# Execute a specific SOP
ai-sop execute work-cycle-protocol

# Start interactive mode
ai-sop interactive

📖 Documentation

Core Concepts

Knowledge Blocks

Foundational principles and knowledge that guide decision-making:

  • Vehicles < Values: Adaptive methods, unchanging goals
  • PB&J Principle: Zero knowledge accessibility
  • AI-First Company Mindset: Organizational principles

Sequences

Step-by-step processes and workflows:

  • Lighthouse Protocol: Feature decision framework
  • Work Cycle Protocol: Structured development blocks
  • BugBot Workflow: Automated issue management

Filters

Decision-making frameworks and validation rules:

  • Elon's 5 Rules: Innovation and efficiency filters
  • Commander Intent: Goal alignment validation
  • Industry Best Practices: Quality assurance filters

Creating Custom SOPs

// Define a custom SOP
const customSop = {
  id: 'my-custom-sop',
  title: 'My Custom SOP',
  type: 'sequence',
  version: '1.0.0',
  status: 'active',
  steps: [
    {
      step: 1,
      action: 'Initialize',
      description: 'Set up the environment'
    },
    {
      step: 2,
      action: 'Execute',
      description: 'Perform the main action'
    }
  ]
};

// Register the SOP
aiSop.registerSOP(customSop);

🏗️ Architecture

ai-sop/
├── src/
│   ├── core/          # Core engine and registry
│   ├── registry/      # SOP registry management
│   ├── tester/        # Registry testing tools
│   ├── cli/           # Command-line interface
│   └── types/         # TypeScript type definitions
├── dist/              # Compiled JavaScript
├── examples/          # Usage examples
└── docs/              # Documentation

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

# Clone the repository
git clone https://github.com/marktiderman/ai-sop.git
cd ai-sop

# Install dependencies
npm install

# Build the package
npm run build

# Run tests
npm test

# Start development mode
npm run dev

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • Built with ❤️ for the AI development community
  • Inspired by the need for structured AI agent workflows
  • Designed to make AI development more reliable and consistent

🔗 Links


Made with 🎭 by the AI-SOP community