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@kozen/engine

Kozen is a versatile Task Execution Framework for CLI apps, REST, AI MCP, IaC, CI/CD, and testing workflows

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🏠 Kozen

Kozen is a lightweight Task Execution Framework, designed for creating automation pipelines, versatile tools, and applications. It enables seamless integration with AI-based interfaces like AI MCP, allowing effortless interactions with large language models (LLMs) and traditional automation tools alike. Kozen supports multiple interfaces, including CLI and REST, and provides easy-to-extend mechanisms for building application types based on its robust extension model. As an NPM package, Kozen integrates seamlessly into Node.js environments, offering scalability, extensibility, and simplicity.

🎯 Features

  • Config-Driven Pipelines: Design and deploy pipelines using JSON templates (cfg/templates/*.json).
  • IaC Orchestration: Support for Infrastructure as Code (IaC) tools such as Pulumi and Terraform.
  • CaC Orchestration: Support for managing Configurations/Changes as Code (CaC).
  • Flexible Application Development: Create automation tools and applications that export via AI MCP, enabling intuitive interactions with LLMs.
  • Comprehensive Test Execution: Execute end-to-end tests, integration tests, and performance workflows.
  • Extensible Components: Use dependency injection (DI) and inversion of control (IoC) for extending and customizing Kozen.
  • Multi-Interface Support: Build applications using CLI, REST, or AI MCP—leveraging Kozen's extensibility framework.
  • Secret and Template Management: Securely manage sensitive data and workflow templates.
  • Structured Logging: Native logging support, with optional storage in MongoDB for persistent structured logs.
  • Cross-Platform Utilities: Universal helper functions designed to simplify operations and workflows across diverse environments.
  • Triggers Utilities: Self‑Hosted Triggers support.

📊 Core Concepts

  • Modules: Extend and add functionality via horizontal modules like pipeline orchestration, logging, and more. Modules play a critical role by internally registering one or more of the following: applications, components, and controllers:
    • Applications: Build high-level interfaces such as CLI, AI MCP, and REST with Kozen.
    • Components: Fine-grained reusable execution units for tasks like IaC provisioning, API communication, and LLM integrations.
    • Controllers: Responsible for handling actions based on the executed application. Controllers are a cornerstone of Kozen, responding to tasks and providing specific functionalities linked to the application's communication interface.
  • Templates: Ensure workflows and dependencies are declaratively defined using JSON files.
  • Shared Utilities: Out-of-the-box utilities including dependency injection, environment management, logging, and common abstractions, making Kozen ideal for scalable automation and AI-driven applications.

For better understanding, please read the 'Introduction' section

🏭 Installation

Install Kozen via NPM:

npm install @kozen/engine

For better understanding, please read the 'Get-Started' section

📦 Multi-Interface Application Development

Kozen empowers developers to build applications that support multiple interfaces, including CLI, REST, and AI-based interfaces such as AI MCP for interacting with LLMs and more. Its modular design ensures that applications and tools are both customizable and easy to implement.

🖥️ CLI Interactions

Below are examples of how to interact with Kozen through its CLI interface:

npx kozen --action=help

For better understanding, please read the 'App-CLI' section

🤖 AI MCP Interactions

MCP (Model Context Protocol) for Artificial Intelligence Systems is an interface for interacting with Kozen and its modules through JSON-based communication protocols.

For better understanding, please read the 'App-MCP' section. To avoid confusion, it is recommended to review the license and the "Disclaimer and Usage Policy" section.

📚 Documentation

Explore additional resources and documentation:

📋 License

Kozen is distributed under the MIT License and is available via NPM.

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Package last updated on 04 Dec 2025

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