Mendix Release 11.9
We’re excited to share Mendix 11.9 – a release that puts AI at the center of your entire development journey, from initial vision to production deployment.
This isn’t just another feature update; it’s about fundamentally changing how you build, deploy, and manage applications. Whether you’re defining your low-code strategy for the first time, building complex workflows with intelligent agents, or streamlining feedback into actionable stories, Maia is now your collaborative partner at every step.
Development teams are drowning in complexity while business demands accelerate. We built this release to address those pain points head-on, delivering AI assistance that handles everything from scope refinement to code generation, plus breakthrough capabilities like portable app distribution and intelligent workflow automation.
Mendix Portal
Maia Plan
Maia scope refinement
Use Maia Plan as a collaborative sparring partner to iteratively refine and strengthen your project scope. Maia provides targeted suggestions, identifies gaps, and helps improve clarity and completeness, supporting teams early in the scoping process and enabling business users to create high-quality, well-defined scope documents.
Multi file upload and increased file size support
Maia Plan now supports multi-file uploads and larger file sizes, making it easier to provide rich, detailed input in a single step. And better input leads to better output.
By allowing teams to share full context upfront, Maia Plan can generate more complete project plans, more accurate scoping, and stronger Solution Proposals. This reduces back-and-forth, improves alignment, and accelerates planning cycles.
You can now upload up to three files at once, with a maximum size of 4 MB per document and 3 MB per image.
Maia Make
Maia Make has received a significant set of improvements in this release, enabling developers to build higher-quality applications faster, directly from the Maia chat interface in Studio Pro.
Maia can now generate and fix a broader range of model elements. In addition to the elements it already supported, Maia now handles workflows, custom pages, modules, and OQL, joining the existing support for domain models, microflows, and overview pages. Beyond generation, Maia can also detect and fix errors in documents it understands, reducing the back-and-forth that slows development down.
Maia Make also introduces more granular control over generated output: developers can now undo changes to individual documents, making it easy to roll back a single unwanted change without losing everything else Maia produced in the same session.
Together, these improvements make Maia a more complete development companion: less context-switching, fewer manual corrections, and more of your application built through conversation.
Compass
Introducing Maia Vision and Goal Setting in Compass
We’re excited to share a new feature that makes it easier to get your low code journey off to a strong start: Maia Vision and Goal Setting.
Here’s the thing: Most organizations jump into low code without a clear vision of what they want to achieve. In fact, amajority of our customers tell us they don’t have a defined low-code strategy and that often leads to slow adoption and missed potential.
Defining that vision isn’t simple, but with Maia, you now have an AI assistant that sits down with you (virtually, of course) and helps you think through what success looks like for your organization. Through a natural conversation, Maia asks thoughtful questions, helps you clarify your goals, and guides you toward a vision that actually reflects what you want to accomplish with Mendix.
The best part? You’ll walk away with a clear, personalized vision statement that gives your team direction and momentum, without the guesswork or blank-page anxiety.
Ready to define your low-code future? Try Maia Vision and Goal Setting in Compass today.
Smart and agentic apps
Agent editing in Studio Pro
Mendix Agents Kit is getting a major new feature! Mendix Agents Kit 1.0 was launched one year ago with the intent to get agent development in the hands of our developers as fast as we could, as a proving ground for agentic AI in Mendixapps. We are now taking it to the next level: We are bringing agent editing to Studio Pro, so that agent development becomes an integral part of the app model and the full app lifecycle. This allows you to take advantage of all capabilities Studio Pro already has, like version control and direct integration with other model elements, for example, like microflows.
The integrated editor enables you to define everything needed for the agent: a system and user prompt parameterized with a context object, tools based on microflows in your app as well as consumed MCP services, and knowledge bases, and a playground to live-test your agent. Integrate agents in your business logic with the Call Agent microflow action and assign tasks to agents in your workflows (see next section).
The first version of the Agent Editor supports development of agents that take advantage of Mendix GenAI Resource Packs. In the coming months, we will extend support to all other platforms supported by Mendix Agents Kit.
The Agent Editor will become available shortly after the Mendix Studio Pro 11.9 release as a downloadable extension on the Mendix Marketplace. Follow the marketplace listing and stay tuned for updates!

Intelligent workflows with integrated Mendix agents
Enterprises are increasingly adopting AI-powered workflow automation to replace manual processes and accelerate decision-making, moving beyond simple chatbots to intelligent systems that route work and execute decisions autonomously. With this release, Mendix makers can now seamlessly integrate their custom agents defined in the Agent Editor, simplifying the inclusion of AI-powered logic and decision-making.
Mendix-created agents can now be modelled as “first-class citizens” within your workflow definitions. Read more about this in our docs.
Show and approve or decline agent actions: Human-in-the-Loop
AI engineers can now restrict tool execution on user approval and decide per tool and knowledge base whether to show their executions in the UI, implementing Human-in-the-Loop. This feature is available out-of-the-box in any application where ConversationalUI v6.0.2+, Agent Commons v3.0.1+ and their dependencies are implemented, as the agent management overview allows runtime configuration of these approval settings when adding tools and knowledge bases.
In addition, Mendix developers can also configure the desired access level using the Tools: Add Function to Request action. This new capability empowers agent builders to fine-tune autonomy while also enabling end-users to understand and constrain agent behavior according to their needs. You can test these new features in the GenAI Showcase App: in the Agent Management section as well as the Function Calling example.
App Insight
Turn raw feedback into action, automatically with Maia
Reduce feedback-processing time and keep your backlog clean with AI-powered categorization, grouping, and story generation, now built directly into App Insights.
The new Maia Feedback Processor brings Mendix AI assistance into your Feedback Inbox. Incoming feedback is automatically categorized and grouped, then transformed into clear, actionable user stories.
Teams often struggle to keep up with high volumes of user feedback, especially during go-live or onboarding spikes. Manual triage slows teams down, leads to missed insights, and results in cluttered backlogs. With Maia stepping in, teams can process feedback more efficiently, maintain a clean backlog, and ship improvements faster, without sacrificing quality.
Getting started is simple
- Open the Feedback Inbox in App Insights
- Ask Maia to group unsorted feedback or match feedback to existing groups
- Use Create Story to instantly generate backlog-ready user stories from feedback groups
Security fix indicators for Marketplace component releases
Marketplace component owners can now flag a release as a security fix when publishing. During the release flow, you can select which earlier versions are affected and optionally add CVE or CWE identifiers.
This makes security updates easier to spot and act on. In the component’s Releases tab, affected versions are clearly marked, users see the recommended remediation (for example, “Update to version X or higher”), and subscribers are notified. If a CVE/CWE is provided, the Marketplace also shows a link to the reference.
We’ve already started backfilling known security fixes from the last two years of advisories (the Rich Text widget is one example), so developers get better visibility even for existing components.

Studio Pro
Comparing historical revisions
Do you ever forget what you did just before the weekend? Or are you curious about what your colleague changed in that last commit? From Mendix 11.9 you can choose a commit from the History pane to compare it to the current state. This will open the Comparison pane, a detailed textual overview of all modifications, like the Changes pane for uncommitted work.
While this first release focuses on [any revision] to [current state], the next step of [any revision] to [any revision] will follow in the coming months.
Faster builds with the Rspack Client Bundler (beta)
As Mendix applications increase in size, build times naturally tend to grow as well. For the React Client, we had to introduce a new build step that prepares the web client for efficient execution. While this step is essential to deliver stellar runtime performance, it can have a negative impact on the overall build time.
With this release, we are introducing a new client bundler in beta: Rspack. Rspack is designed for speed and efficiency, and early internal benchmarks are very promising. In our tests, the client bundling step completed up to six times fasterwhile using up to 70% less memory compared to the existing setup. This directly translates into shorter feedback loops, faster builds, and a smoother developer experience, especially for large-scale applications.
The new bundler can be enabled directly from the settings, allowing you to try it out today and experience dramatically faster client builds while we continue refining it on the path to general availability.
Consistent list handling in nanoflows with shared list references
Until now, passing a list from one nanoflow to another came with an important limitation: any changes made to that list inside the called nanoflow were not reflected in the original one. This behavior differed from how microflows work and made several common best practices unnecessarily hard, such as collecting and modifying objects in a list for later processing or commit.
To address this inconsistency, we introduced a new setting for nanoflow calls that lets you choose how lists are passed. You can now explicitly decide whether a list should be passed as an isolated copy (the previous behavior) or as a shared list reference. When using a shared list, changes made in the called nanoflow are immediately visible in the original nanoflow, restoring parity with microflows and enabling cleaner, more predictable modeling patterns.
For new nanoflows, shared lists are enabled by default. For existing nanoflow calls, we preserved the original behavior to maintain backward compatibility. We strongly encourage you to try the new option and benefit from more consistent and powerful nanoflow logic.
PWA Wrapper (beta)
Progressive Web Apps are an excellent way to build mobile applications quickly. They offer flexible user interfaces, strong performance, and access to many powerful capabilities through modern web APIs. However, PWAs also come with two fundamental limitations that make them unsuitable for a range of real‑world use cases: they cannot be distributed through the Apple App Store or Google Play, and they are limited to whatever functionality is exposed through web APIs. When a required capability is not available on the web, there is simply no way to bridge that gap.
Until now, the primary alternative was to build fully native mobile applications. While native apps are powerful, they come at a significant cost. User interfaces need to be rebuilt from scratch without reusing existing web pages, styles, or widgets. On top of that, native development introduces a complex and often fragile build process that relies on multiple third‑party tools and lengthy compilation steps.
With the PWA Wrapper, we address both of these challenges and unlock a new way to build apps that feel native while using web technologies. The PWA Wrapper is a lightweight native application, fully maintained by Mendix, that runs your Mendix PWA inside it. It provides access to a curated set of native capabilities, allowing your app to be distributed through the app stores and go beyond the limitations of standard web APIs.
At the same time, the complexity of native development is completely abstracted away. You continue to build your app using Mendix and web technologies, without having to manage native code or compilation pipelines. We take care of building and maintaining the wrapper for you, so you can focus entirely on delivering functionality and user experience.
The PWA Wrapper is currently available in beta with an initial set of native capabilities. We plan to expand this list over time and actively invite your feedback. If there are native features you would like to see supported, please share your ideas on the Mendix Idea Forum using the tag PWA Wrapper.
The PWA Wrapper Beta is available on the Mendix Marketplace and is compatible with Mendix 10.24 and later. Please give it a try and send us your feedback on the #pwa channel of our Mendix Community Slack.
Extensions in MxBuild
It is now possible to run Studio Pro extensions directly from MxBuild, unlocking automation that goes far beyond compiling your app. Custom consistency checks, code quality gates, or any other extension logic can now execute as part of your CI/CD pipeline — no manual steps, no GUI required. If it runs in Studio Pro, it can now run headlessly in your build process.
Streamline workflow management with the Global Inbox module
As your Mendix application landscape increases in size, your end-users need a clear overview of all outstanding workflow items. The Global Inbox offers a centralized task inbox that consolidates workflow tasks from multiple applications into a single, unified view. The Global Inbox is designed to streamline task management, reduce the need to navigate between different applications, and enhance overall productivity by providing a central starting point.
The Global Inbox system comprises two Mendix modules: the Global Inbox and the Global Inbox Connector. Applications that need their workflow tasks to appear in the Global Inbox are designated as “Publisher Applications.” These applications leverage the Global Inbox Connector to publish task-related events. The connector is specifically built for Mendix Workflows and communicates workflow changes – such as task creation, assignment, updates, and completion- via Mendix Business Events, ensuring real-time synchronization of task statuses and progress.
The core purpose of the Global Inbox is to centralize task management for Mendix Workflows. While the underlying architecture is extensible, the initial release focuses on tasks generated within Mendix’s built-in workflow engine. When a user needs to act on a task, the Global Inbox facilitates redirection to the originating Publisher Application, maintaining a seamless workflow experience. This module aims to provide Mendix developers with a more efficient and integrated approach to managing workflow tasks across their application landscape.
Portable app distribution (public beta)
Transform your deployment strategy with our groundbreaking Portable App Distribution solution – designed to make server-based deployments and local testing as simple as extracting a zip file.
Single-bundle deployment
Deploy complete applications using self-contained zip packages that include all dependencies, runtime libraries, and configuration files. No more dependency on hunting or complex installation procedures.
Simple-configuration deployment
Extract and run – it’s that simple. Our portable apps eliminate the traditional complexity of server deployments, reducing setup time from hours to minutes.
Advanced HOCON configuration system
Take full control with our layered configuration approach:
- Hierarchical setup: Include and extend base configurations
- Environment-specific settings: Distinct configs for Dev, Test, and Production
- Deployment-type flexibility: Optimized settings for Docker containers, traditional deployments, or bare-metal infrastructure
Universal consistency
Eliminate environment-specific issues with bundled dependencies that ensure identical behavior across all deployment targets.
Cloud and container ready
Seamlessly integrate with modern infrastructure while reducing container orchestration complexity and specialized deployment scripts
Teamcenter Integration
Teamcenter BOM component
We’re thrilled to announce the launch of the Teamcenter BOM Component for Mendix, a powerful new widget that makes displaying Teamcenter Bill of Materials (BOM) data into your custom Mendix applications easier than ever. By embedding a native Teamcenter BOM component, you can now access and display BOMs within Mendix with performance levels matching those in Teamcenter itself. With this new widget, Mendix applications support standard Teamcenter BOM features such as retrieving revision rules, variant rules, column configuration, and property editing, allowing teams to work with familiar tools and streamlined workflows right inside their custom apps.
The Teamcenter BOM Component also enables you to enrich your BOM view by adding third-party data from ERP, MES, and other systems, putting all relevant information in one place and empowering users to make informed decisions quickly. This release opens the door to faster, more cohesive engineering, manufacturing, and supply chain processes, making Mendix the go-to platform for modern, connected enterprise applications. The component will be available to download on the Mendix Marketplace
Mendix Cloud
Runtime traces in Datadog
We’re excited to announce the first step in our expanded observability roadmap: native tracing support for Mendix applications using Datadog. This initial release makes it easier for teams to gain deep insight into application performance, diagnose issues faster, and improve reliability. All using the Datadog tools many organizations already rely on.
With this release, Mendix Cloud now sends standardized tracing data directly to Datadog, giving you end‑to‑end visibility across your Mendix apps without custom setup or workarounds. This allows you to relate log messages to microflows, trace actions across multiple apps and find the root cause of issues quickly and easily.

Access logs in Dynatrace, New Relic and Splunk
We’ve introduced a new capability in Mendix Cloud that makes it easier to gain visibility into how your applications are being accessed: you can now forward application access logs directly to your APM tooling, starting with Splunk.

This enhancement gives development, security, and operations teams better insight into traffic patterns, authentication behavior, and potential anomalies, all within the monitoring tools they already use.

With access logs available alongside tracing and performance signals, teams can build a more complete observability picture across their Mendix applications and beyond. The access logs of application on Mendix Cloud can be added to other log sources to strengthen your Security Information and Event Management (SIEM).

This release is an important step in strengthening the telemetry foundation of Mendix Cloud. While the first implementation focuses on enabling access log forwarding to Splunk, we’ll continue consolidating features across all APM integrations.
Governance
OIDC SSO improvements for Entra ID
We’ve made OIDC-based single sign-on both more secure and easier to adopt, especially for teams building enterprise-grade applications integrated with Microsoft Entra ID.
We’ve improved support for private_key_jwt, a recommended best practice for securing OIDC flows. The feature is now also supported with Microsoft Entra ID. You can adopt strong, certificate-based client authentication by upgrading the OIDC SSO module to the latest version and applying minimal configuration changes.
At the same time, we’ve streamlined user provisioning during login. Previously, assigning Mendix user roles required parsing access tokens and additional configuration, especially when using Entra ID. With this update, the OIDC SSO module can automatically extract existing identity provider roles from ID tokens and map those to Mendix user roles using a microflow provided with the module.
Together, these improvements reduce DevSecOps effort to set up secret keys and authorization logic, improve security posture, and help teams follow common practices by default. They also align with emerging identity patterns for agentic applications, where standards like the Model Context Protocol (MCP) increasingly rely on key‑pair based client authentication instead of shared secrets. It’s another step toward making Mendix an enterprise-ready platform where secure authentication is both powerful and easy to use.
AI summaries of technical pipeline logs
We’re introducing AI Log Summaries to Mendix Pipelines to help you understand pipeline runs faster and with far less effort. We built this feature so you can focus on what happened and what to do next, instead of digging through technical logs.
The logs coming from Mendix Pipelines tend to be detailed and technical. This makes them information rich and helpful, but also hard to interpret unless you already know the fundamentals. When a pipeline step fails, teams often spend quite some time reading through this generated output and sometimes need to ask others for help just to understand what went wrong.
Now that we’ve introduced AI Log Summaries in Mendix Pipelines, you can request a clear explanation for a pipeline step directly from the Pipelines UI with the press of a button. Mendix Pipelines securely translates the system‑generated logs with an LLM, which returns a structured, easy-to-understand summary that explains exactly what happened in the pipeline step, and its outcomes. In the case the pipeline step failed, it will help you understand why, and what next steps you could follow to successfully retry. This means you can understand your pipeline’s behavior faster, interpret outcomes more clearly, and ultimately keep your pipelines running more effectively.
Ready to transform your next idea into an app?
- Kickstart your project by structuring your vision with Maia Plan.
- Download Mendix Studio Pro and let Maia Make build your plan into an app.
- Take a closer look at all the features, improvements, fixes, and more in the Mendix 11.9 release notes.
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