Hey Community,

More than 1,100 applications are already available for everyone to download on the InterSystems Open Exchange. 

And now it's time to announce the best developers and the most downloaded apps of 2025!

Let's take a closer look at our heroes and their apps:

Data Collection

This is a step-by-step instruction guide for creating a task to collect data about the InterSystems database and globals therein (as seen in the associated Open Exchange App - find all the associated code there)

UPDATE (Aug 1 2024): Recently I've been asked about the differences between this and the History Monitor functionality. In short, the data collection monitor builds on the history monitor by adding the ability to track growth of individual globals.

Disclaimer: This software is merely for TEST/DEMO purposes.

Welcome to the monthly recap of updates and releases to VS Code and InterSystems-related extensions relevant to IRIS developers. We'll break down the updates that are relevant to InterSystems developers with tips on how they can be applied to your day-to-day projects. 

Don’t forget, if you’re migrating from InterSystems Studio to VS Code, or want to deepen your knowledge, check out the VS Code training courses from George James Software: georgejames.com/vscode-training.
VS Code version 1.109

• Editor stability and navigation improvements - folding, syntax highlighting and navigation are now more

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.

Over the last 9 years, I published more than 90 packages in OEX.
And over this time, conditions and environments changed.
In the beginning, there was

• no Docker
• no IPM/ZPM
• no embedded Python, no AI
• Caché, Ensemble, CSP, ZEN, .... were dominating

As time changed, also product versions and external languages changed.
Adjustment of a few packages was no issue in the beginning,
and was a matter of support quality to my "consumers".

With the actual volume, I see no way to keep this target up for all my packages.
and based on the quality checks, I have the impression it is not just my problem.
Recent

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.
 

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.
 

I'm a huge sci-fi fan, but while I'm fully onboard the Star Wars train (apologies to my fellow Trekkies!), but I've always appreciated the classic episodes of Star Trek from my childhood. The diverse crew of the USS Enterprise, each masterminding their unique roles, is a perfect metaphor for understanding AI agents and their power in projects like Facilis. So, let's embark on an intergalactic mission, leveraging AI as our ship's crew and  boldly go where no man has gone before!  This teamwork concept is a wonderful analogy to illustrate how AI agents work and how we use them in our DC-Facilis

Apache Airflow is the leading open-source platform to programmatically author, schedule, and monitor data pipelines and workflows using Python. Workflows are defined as code (DAGs), making them version-controlled, testable, and reusable. With a rich UI, 100+ built-in operators, dynamic task generation, and native support for cloud providers, Airflow powers ETL/ELT, ML pipelines, and batch jobs at companies like Airbnb, Netflix, and Spotify.

Airflow Application Layout

Introduction

As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.
This project explores how ChatGPT and Anthropic Claude, two of the most advanced AI models, can interact with IRIS using Custom GPTs and the Model Context Protocol (MCP).

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.

Welcome to the monthly recap of updates and releases to VS Code and InterSystems-related extensions that are relevant to IRIS developers. 

We'll break down the updates that are relevant to InterSystems developers with tips on how they can be applied to your day-to-day projects. 

Don't forget, if you're migrating from InterSystems Studio to VS Code, or want to deepen your knowledge, check out the VS Code training courses from George James Software: georgejames.com/vscode-training. 

VS Code version 1.106

Unified AI-agent dashboard - 1.106 introduces an Agent Sessions view that consolidates all

In this article I will be discussing the use of an alternative LLM for generative IA. OpenIA is commonly used, in this article I will show you how to use it and the advantages of using Ollama

In the generative AI usage model that we are used to, we have the following flow:

• we take texts from a data source (a file, for example) and embedding that text into vectors
• we store the vectors in an IRIS database.
• we call an LLM (Large Language Model) that accesses these vectors as context to generate responses in human language.

We have great examples of this in this community, such as IRIS Vector

InterSystems Cloud JDBC SQL Shell

A simple way to connect, explore, and debug InterSytems Cloud Services over JDBC with sqlline.

In today’s healthcare data landscape, FHIR has become the standard for structured clinical data exchange. However, while FHIR excels at interoperability, its JSON format makes analytics challenging—including FHIR QuestionnaireResponse.

Three Steps to Build It

1. Design and Collect the Questionnaire

Start by designing a FHIR

Hi Everyone, 

As I'm sure most of you will be aware, we have an excellent resource available to developers in the Open Exchange, which is a place for Community Members to share open source resources, templates, tools and demos built with or for InterSystems technologies. This has been a massive success, with >1100 projects shared!

However, the growing size of the Open Exchange inevitably leads to some excellent resources being buried and lost in the sea of resources.

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.

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.

I was facing the same issue as Jerry faced when connecting IRIS to SQL server. My ODBC connection is configured to authenticate via windows authentication.

Configure IRIS ODBC connection with Windows authentication using a
 

How I fixed it for myself?

Root cause

• The SQL Server DSN was set to Windows Integrated Authentication.
• IRIS opens the ODBC connection via irisdb.exe, which runs under the IRIS Windows services’ logon account.
• My IRIS services were running as LocalSystem, so SQL saw the machine account<ORGNAME>\<ASSETID>$. SQL had no login for that identity → 18456 / 28000 “Login failed

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.

Technical Documentation — Quarkus IRIS Monitor System

1. Purpose and Scope

This module enables integration between Quarkus-based Java applications and InterSystems IRIS’s native performance monitoring capabilities.
It allows a developer to annotate methods with @PerfmonReport, which triggers IRIS’s ^PERFMON routines automatically around method execution, generating performance reports without manual intervention.

2. System Components

2.1 Annotation: @PerfmonReport

• Defined as a CDI InterceptorBinding.
• Can be applied to methods or classes.
• Directs the framework to wrap method execution with IRIS

Hi everyone! 👋
I’m excited to share the project I’ve submitted to the current InterSystems .Net, Java, Python, and JavaScript Contest — it’s called IRIStool and Data Manager, and you can find it on the InterSystems Open Exchange and on my GitHub page.