Hey Community,
We’re launching a new initiative in which ideas from the Ideas Portal become real applications on Open Exchange, and their authors are rewarded through Global Masters:
💡 Community Bounty Program “Idea to Application” ⚙️

InterSystems Data Platform Solutions Open Exchange is a gallery of software solutions, tools, and frameworks which were developed with InterSystems Data Platform (Caché, Ensemble, HealthShare, InterSystems IRIS, InterSystems IRIS for Health) or are intended to help in development, deployment and support the solutions built with InterSystems Data Platform.
You can use any of the published assets or you can publish your own tool, technology example or solution.
Hey Community,
We’re launching a new initiative in which ideas from the Ideas Portal become real applications on Open Exchange, and their authors are rewarded through Global Masters:
💡 Community Bounty Program “Idea to Application” ⚙️


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
Hi, every one. Again, it's me!!😀😀
Recently I was trying to organize some learning materials for InterSystems IRIS😆, and realized that the resources are actually quite scattered.🤐
So I put together a list here—grouped by categories—for anyone who:
Also adding some of my own experience on what worked (and what didn’t, may be only not work for me🤫🤐).
If you don’t know where to begin, start here:
Why do we need this?
Lack of Compiled Context: AI tools only see source code; they don't know what the final compiled routine looks like.
Macro Hallucination: Because AI doesn't see our #include files or system macros, it often makes them up, wasting time during debugging.
The Documentation Gap: Deep logic optimization often requires understanding internal macros that aren't fully covered in public documentation.
Manual Overhead: Currently, the only way to fix this is to manually use the IRIS VS Code extension to find the "truth" in the routine.
Is your source control treating your InterSystems IRIS environment like a simple collection of files? Most source control tools lack the native intelligence to handle InterSystems IRIS, which is why your code is treated as such.
Deltanji is different. It understands how code and other artifacts are stored within IRIS and can manage them directly. This eliminates the friction that other tools introduce to the process.
Join us for an InterSystems-hosted webinar to see how Deltanji provides an enterprise-grade source control solution that is tightly integrated with your IRIS environment.
Hi Community,
In this article, I will introduce my application iris-HL7v2Gen .
IRIS-HL7v2Gen is a CSP application that facilitates the dynamic generation of HL7 test messages. This process is essential for testing, debugging, and integrating healthcare data systems. The application allows users to generate a wide variety of HL7 message types, validate their structure against HL7 specifications, explore the message hierarchy, and transmit messages over TCP/IP to production systems. These features are particularly useful in settings where compliance with HL7 standards is mandatory for interoperability between different healthcare organizations or systems.
Welcome to the monthly recap of updates and releases to VS Code and InterSystems-related extensions relevant to IRIS developers.
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 1.110
Kitty graphics protocol in the Terminal - The integrated terminal now supports the Kitty graphics protocol, allowing for high-fidelity image rendering directly in the terminal pane.
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 created iris-budget app for the InterSystems Full Stack Contest in 2026. By full stack, we mean a frontend web or mobile application that inserts, updates, or deletes data in InterSystems IRIS via REST API, Native API, ODBC/JDBC, or Embedded Python.
My app uses multiple REST APIs to add a new category or retrieve a list of categories of expenses and income.
I inherited /csp/coffee from module.xml in iris-fullstack-template.
For this project, I created a swagger file called "budget.json.
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!
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Let's take a closer look at our heroes and their apps:
Hi Community,
In this article, I will introduce my application iris-CliniNote .
CliniNote is a full-featured clinical notes application that combines classic CRUD operations with **real-time AI-assisted notes matching** powered by **InterSystems IRIS native vector search**. The standout feature: while a doctor is writing or editing a clinical note, a side panel shows the **top 5 most similar notes** based on the semantic content of the note being written — **excluding the current patient** to avoid trivial matches. This gives clinicians immediate access to "patients like this one" — helping with differential diagnosis, treatment pattern recognition, and rare presentation detection.
https://irisclininote.sandbox.developer.intersystems.com/csp/clininote/login.html
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.
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 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.
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
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.
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.
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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.

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