At InterSystems, we deeply appreciate the rapid innovation enabled by open-source development. Our team acknowledges the significant impact of the community's dedication, which has been a driving force behind the evolution of software and data technology.


| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
iris-presto-sampleSample for iris-presto package (using IRIS and PrestoDB ) | Docker Python | 5.0 (1) | 17 Nov, 2024 | |||
SharePoint Online SPO REST APISharepoint API template | M | 0.0 (0) | 13 Dec, 2024 | |||
InterSystems Ideas Waiting to be ImplementedAI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code. A 3Votes1Comments | ||||||
Database-Size-MonitoringMonitor database size growth and issue alerts | s | Docker IPM | 4.0 (1) | 20 Dec, 2024 | ||
![]() ObjectScript-To-XMLExporting InterSystems Object Scripts in XML | 0.0 (0) | 20 Dec, 2024 | ||||
IKO Guaranteed QoSAchieve Guaranteed QoS on your IKO K8s Deployment | A | 0.0 (0) | 02 Feb, 2025 | |||
X-rAI-iris-healthInterSystems IRIS for Health Data Analytics with Explainable AI | R | Python AI ML ML | 0.0 (0) | 05 Mar, 2025 | ||
iris-watched-statusStatus that automatically detects and handles errors. | D | IPM | 0.0 (0) | 05 Mar, 2025 | ||
pax-ai-irisHybrid Framework for Anomaly Detection: IRIS, Embd Python, AI | AI ML ML | 0.0 (0) | 28 Mar, 2025 | |||
fhir-frontend-react-lovableLovable react frontend for FHIR | Docker IPM AI | 0.0 (0) | 26 Mar, 2025 | |||
![]() mcp-server-irisInterSystems IRIS MCP server | Docker Python AI | 0.0 (0) | 26 Mar, 2025 | |||
![]() IRIS-Intelligent-Butler# IRIS-Intelligent Butler IRIS Intelligent Butler is an AI intel | Docker Python IPM AI ML ML | 4.0 (2) | 27 Mar, 2025 | |||
![]() iris-easybotA Fast, Simple, Experimental Chatbot Framework Using IRIS Vector Search. | E | Docker Python AI | 5.0 (1) | 31 Mar, 2025 | ||
![]() tootIRIS Vector powered Whistle-and-Sing to Search for Music | A | Docker AI ML ML | 4.0 (1) | 30 Mar, 2025 | ||
![]() wp-iris-projectBuild scalable WordPress integrations with InterSystems IRIS. Includes a REST framework, code generator, and demo plugins. | Docker | 5.0 (1) | 02 May, 2025 | |||
MONLBL ViewerIt is a web UI for inspecting Caché Monitor (%MONLBL) results. | S | 0.0 (0) | 01 Jun, 2018 | |||
jupyter-for-moneyMy first Jupyter notebook | O | Docker Python | 5.0 (1) | 04 May, 2025 | ||
![]() Langchain4jFhirAI-powered Quarkus backend that analyzes base on a FHIR | Docker AI | 4.0 (1) | 24 May, 2025 | |||
![]() CCD Data ProfilerProfiles and analyzes CCD documents with customizable reports. | L | IPM | 0.0 (0) | 30 May, 2025 | ||
![]() health-gformsCollect FHIR data using Google Forms data | Docker Python IPM | 5.0 (1) | 29 May, 2025 | |||
PivotToPowerBIView extracted data from IRIS BI cubes in Power BI | P | Docker IPM | 5.0 (1) | 22 Jun, 2025 | ||
ReadyForActionDemo for "Demos and Drinks" at InterSystems READY 2025 | P | Docker Python | 5.0 (1) | 20 Jun, 2025 | ||
Interoperability REST API TemplateYet another API template for the InterSystems IRIS Data platform | 5.0 (1) | 06 Jul, 2025 | ||||
iris-message-searchQuery messages for multiple services based on conditions | s | Docker IPM | 4.5 (1) | 25 Jul, 2025 | ||
![]() IrisTestIrisTest is a light weight, powerful, user-friendly tool design | Docker IPM | 5.0 (1) | 27 Jul, 2025 | |||
![]() toolqaThis API testing tool helps development and QA teams ensure that APIs are functioning as expected, meet business requirements, and are robust against incorrect input or edge cases. | Docker | 4.3 (2) | 28 Jul, 2025 | |||
iris-execute-mcpMCP Server for executing methods, compiling classes and executing unit test in InterSystems IRIS | J | Python | 0.0 (0) | 10 Sep, 2025 | ||
![]() FHIR Data Explorer with Hybrid Search and AI SummariesThis is a POC to demonstrate how InterSystems IRIS can be used to interact with an external language via the Python SDK (IRIS Native) to create and analyze a FHIR repository. Finally, the data is visualized using Streamlit, featuring hybrid search to locate the patient and a local LLM model to generate a patient history based on the extracted data. | P | Docker Python AI | 0.0 (0) | 09 Oct, 2025 | ||
RAGBookRecommenderA basic implementation of an AI book recommender using IRIS Vector search | G | Python AI | 0.0 (0) | 20 Sep, 2025 | ||
![]() bg-iris-agentAI IRIS Agent | Docker IPM AI | 5.0 (1) | 04 Apr, 2025 | |||
AiAssistantUsing vector search to assist large language models in generatin | X | Docker IPM AI | 4.5 (1) | 27 Mar, 2025 | ||