In today's fast-paced and highly competitive manufacturing industry,
efficient machine communication and data exchange is essential to maximize
productivity and minimize downtime. That's where MTConnect comes in.
MTConnect is an open, royalty-free standard that provides a common language
for communication between machines, devices, and software applications in a
manufacturing environment.

Hi Community,

Hi Community,
In this article, I will introduce my application iris-mlm-explainer

Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

Hi Community,

In this article, I will introduce my application iris-AgenticAI .

The rise of agentic AI marks a transformative leap in how artificial intelligence interacts with the world—moving beyond static responses to dynamic, goal-driven problem-solving. Powered by OpenAI’s Agentic SDK , The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm.
This application showcases the next generation of autonomous AI systems capable of reasoning, collaborating, and executing complex tasks with human-like adaptability.

Application Features

• Agent Loop 🔄 A built-in loop that autonomously manages tool execution, sends results back to the LLM, and iterates until task completion.
• Python-First 🐍 Leverage native Python syntax (decorators, generators, etc.) to orchestrate and chain agents without external DSLs.
• Handoffs 🤝 Seamlessly coordinate multi-agent workflows by delegating tasks between specialized agents.
• Function Tools ⚒️ Decorate any Python function with @tool to instantly integrate it into the agent’s toolkit.
• Vector Search (RAG) 🧠 Native integration of vector store (IRIS) for RAG retrieval.
• Tracing 🔍 Built-in tracing to visualize, debug, and monitor agent workflows in real time (think LangSmith alternatives).
• MCP Servers 🌐 Support for Model Context Protocol (MCP) via stdio and HTTP, enabling cross-process agent communication.
• Chainlit UI 🖥️ Integrated Chainlit framework for building interactive chat interfaces with minimal code.
• Stateful Memory 🧠 Preserve chat history, context, and agent state across sessions for continuity and long-running tasks.

Messages.log file contains lots of useful information about IRIS. Sometimes the file gets big, and it is not easy to get to the data I am interested to review. It would be nice to jump to a specific date and time we suspect a problem may have started.

Hi Community,

Traditional keyword-based search struggles with nuanced, domain-specific queries. Vector search, however, leverages semantic understanding, enabling AI agents to retrieve and generate responses based on context—not just keywords.

This article provides a step-by-step guide to creating an Agentic AI RAG (Retrieval-Augmented Generation) application.

Implementation Steps:

1. Create Agent Tools
   • Add Ingest functionality: Automatically ingests and index documents (e.g., InterSystems IRIS 2025.1 Release Notes).
   • Implement Vector Search Functionality
2. Create Vector Search Agent
3. Handoff to Triage (Main Agent)
4. Run The Agent

Hi developers!

Suppose you have a Github repository with ObjectScript classes but without a Docker environment.

Recently I published a repository with a set of files that form a universal Docker and VSCode environment to let you either import and run your repository in InterSystems IRIS Community Edition on Docker or turn your repository into Docker and VSCode environment for InterSystems IRIS Community Edition.

So in one sentence:

Unpack these files in your folder and you have the Docker and VSCode environment for your InterSystems IRIS ObjectScript application!

See the details below.

If one of your packages on OEX receives a review you don't get notified by OEX only on YOUR package.
​​​So @Evgeny Shvarov suggested publishing my monthly summary of my reviews here in DC.
It reflects my experience with the status I found at the time of my review.

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

What is npm-iris?

N.P.M stands for "No Project Mess."

N.P.M. is a Project & Task Management app that uses InterSystems IRIS and Bootstrap 4.

No Project Mess is created to help developers and small business companies to reduce complexity in their daily problems, with a simple and intuitive projects and tasks management software.

It offers different views for your tasks, from a spreadsheet, kanban, calendar, or even Gantt!

A few months ago, I faced a significant challenge: streamlining the handling of business logic in our application. My goal was to extract the business logic from the code and hand it over to analysts. Dealing with a multitude of rules could easily result in a code littered with countless "if" statements, especially if the coder lacked an understanding of cyclomatic complexity. Such code becomes a source of pain for those working with it—difficult to write, test, and develop.

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.