Explore applications, tools, integrations, templates, and examples created by the Developer Community. Share your own projects and take part in InterSystems programming contests.
Explore curated collections of applications, components and tools, organized by common topics and real-world use cases contributed by our community.
Dataset: fuel for your projects
Are you building analytical systems and looking to perform a "cold" launch? Are you developing a machine learning-based solution or a vector database and want to put them through stress testing? After all, even REST API calls need to return some kind of result! The solution lies in purpose-built dat
+5Get Started With FHIR
Get started with FHIR and InterSystems IRIS for Health through a curated collection of templates, tutorials, workshops, and practical examples. Learn how to build a FHIR server, explore FHIR interoperability, work with FHIR SQL Builder, Python and AI, and experiment with real-world sample applicatio
+2Globals: your toolkit
Various applications that provide handy tools for everyday tasks with Globals - IRIS InterSystems data storage system
+3A production-proven toolkit for building enterprise integrations
At the core is iris-esb: a message broker with guaranteed delivery, a universal inbound API, and monitoring. Around it are two connectors for the most common channels: Apache Kafka adapters for streaming and a flexible REST client for virtually any external API. Use them together as a ready-made int
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| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
iris-agentic-devMCP server connecting GitHub Copilot, Claude Code, and other AI coding assistants directly to a live IRIS instance for ObjectScript development. | Docker Python AI | 5.0 (2) | 04 Aug, 2026 | 368 | ||
ai-customer-service-suiteAI-powered customer support suite for text, email, and voice. | Python AI ML ML | 0.0 (0) | 19 Jun, 2026 | 66 | ||
InterSystems Ideas Waiting to be ImplementedIntersystems IRIS "green time" profileIris will run a profile time where it collects all the usual code run over a period (like a week) and then it create a tipical profile for that workload. With this profile in use, it manage the os so that it can consume less cpu power when not needed. If a peak routine, method,... it will run with less power for a treshold time during the "green time schedule" and if still needed, will adjust the required cpu and power. The profile time is alwayson so it can still adapt to new workload or it can it be run again forcing a new data collection. P 11Votes0Comments | ||||||
MedBridge — Autonomous AI Agent for Laboratory InteroperabilityMedBridge — AI agent for lab interoperability with FHIR R4 | M | Docker Python AI ML ML | 0.0 (0) | 14 Jun, 2026 | 203 | |
 DevHuba centralized toolkit and launcher framework designed for Devs | Docker IPM | 5.0 (1) | 31 Oct, 2025 | 223 | ||
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