Introduction
With Mendix's agentic capabilities, you can build AI-powered features into your apps using leading AI models and your own data. Integrate AI capabilities into your apps with Agents Kit, a collection of Mendix starter apps, connectors, and modules that support implementations from simple text generation to complex multi-step agentic workflows.
Some typical use cases include the following:
- Create AI agents that autonomously interact with your Mendix app's data, logic, and external systems.
- Build conversational UIs with human-in-the-loop controls and embed AI-powered interactions directly into your Mendix apps.
- Connect app data and enterprise knowledge bases to provide grounded, context-aware AI responses.
Agents Kit 2 is available for Mendix Studio Pro 11.12 and above and provides Mendix's newest agentic features and improvements. Agents Kit 1 is available for Studio Pro 10.24 and above. Older versions of some modules and the GenAI Showcase App are available in Studio Pro 9.24.2.
Getting Started
Start exploring how to integrate agentic and generative AI into your Mendix apps:
-
New to generative AI?
- Familiarize yourself with core concepts, including prompt engineering, retrieval augmented generation (RAG), and function calling (ReAct).
- Follow the Academy learning path Introduction to AI and GenAI.
-
Already familiar with generative AI?
- Browse the Agents Kit guides for available components, step-by-step how-tos, and reference documentation.
- Download and run the GenAI Showcase App to see working examples, including multi-agent patterns, exposing and consuming tools via MCP, interactive chatbots, RAG, function calling, image generation, and semantic search.
- Select the LLM provider and model and Agents Kit components that fit your use case, then start building.
Available Models
Mendix connectors offer direct support for the following models.
Mendix Cloud GenAI
| Models | Category | Input | Output | Additional Capabilities |
|---|---|---|---|---|
| Anthropic Claude Models | Chat completions | text, image, document | text | Function calling |
| Cohere Embed Models | Embeddings | text | embeddings |
Microsoft Foundry (OpenAI) / OpenAI
| Models | Category | Input | Output | Additional Capabilities |
|---|---|---|---|---|
| gpt and o family, such as gpt-5.5 and o4 | Chat completions | text, image, document (OpenAI only) | text | Function calling |
| gpt-image-1, gpt-image-1.5, gpt-image-2 | Image generation | text | image | |
| text-embedding-ada-002, text-embedding-3-small, text-embedding-3-large | Embeddings | text | embeddings |
For a list of all OpenAI models, see Models in the OpenAI documentation.
Mistral
| Models | Category | Input | Output | Additional Capabilities |
|---|---|---|---|---|
| Mistral's generalist models such as Mistral Small 4, Mistral Medium 3.5, Mistral Large 3, and Ministral 3 (3B, 8B, 14B) | Chat completions | text, image | text | Function calling |
| Codestral, Devstral | Chat completions | text | text | Function calling |
| (Open) Mistral Nemo 12B | Chat completions | text | text | |
| Mistral Embed, Codestral Embed | Embeddings | text | embeddings |
For a list of all Mistral models, see Models Overview in the Mistral documentation.
Google Gemini
| Models | Category | Input | Output | Additional Capabilities |
|---|---|---|---|---|
| Gemini 2.5 Flash, Gemini 2.5 Flash-Lite, Gemini 2.5 Pro, Gemini Flash Latest, Gemini Flash-Lite Latest, Gemini Pro Latest | Chat completions | text, image | text | Function calling |
| Gemini 3 Flash Preview, Gemini 3.1 Flash-Lite, Gemini 3.1 Pro Preview, Gemini 3.5 Flash | Chat completions | text, image | text |
Amazon Bedrock
| Models | Category | Input | Output | Additional Capabilities |
|---|---|---|---|---|
| Native support for models that support the Converse API, with providers including Anthropic Claude, DeepSeek, Meta, and OpenAI (OSS models). | Chat completions | text, document, image | text | Function calling |
| Native support for models by Cohere, and configurable support for all other models that support the Invoke API. | Embeddings | text | embeddings | |
| Native support for Titan Image Generator G1 v2 (availability varies by region), and configurable support for all other models that support the Invoke API. | Image generation | text | image |
For a list of all Bedrock Models, see Models at a glance. To determine if a model supports the Converse or Invoke APIs, see the model details after selecting a model from the list.
Connecting to Other Models
In addition to the models listed above, you can also connect to other models by implementing one of the following options:
- To connect to other foundation models and implement them in your app, use the Amazon Bedrock connector.
- To connect to Snowflake Cortex LLM functions, configure the Snowflake AI Data Connector for Snowflake Cortex Analyst.
- To implement your own connector that is compatible with the other components, use the GenAI Commons interface and see How to Build Your Own GenAI Connector.
Support and Feedback
If you have any questions, encounter errors, or want to share feedback, reach out in the #genai-connectors channel in the Mendix Community Slack workspace. To sign up for this workspace, use this invitation link.
