KNIME Release Notes

The Agent Chat View node now provides a timeline to let you see the agent’s tool calls and reasoning as they happen, live and expandable within the chat interface.

If you work with agentic workflows, it's helpful to see what the agent is doing behind the scenes. The timeline view separates user-agent conversation from internal tool interactions, making it easier for you to follow the agent’s process. Whether you're developing agent-powered data apps or using them, you now have a transparent view to debug and understand the agent’s decisions.

The OpenAI Authenticator node now accepts a Credentials object to connect to other systems with OpenAI-compatible APIs using OAuth. You can also configure custom request headers directly in the node.

If you work in a large enterprise, you need more control over how authentication and API requests are handled, whether for security, compliance, or integration with internal infrastructure. These updates make it easier for you to connect KNIME to OpenAI-compatible services in a way that fits enterprise requirements.

Use the advanced image generation and editing capabilities of the Gemini 2.5 Flash Image model with the new Gemini Image Generator node

You can use this node to generate new images based on text prompts, fuse several images into one, or make minute edits to existing images without losing their original integrity. You can programmatically generate consistent, high-quality images or make detailed edits as a step in your workflow.

The KNIME Reporting extension now supports view nodes built with Python, such as the Python View node or Geospatial View Static node, allowing you to include them in reports.
Note: Only non-interactive view content is supported.

If you build reports, it's now easier for you to include a wider range of visual outputs in them, especially if you already use Python-based custom views.

You can now see data type icons next to columns when making a selection.

Without visible data types, it can be difficult to choose the right column or know what’s expected. If you build KNIME workflows, this update improves clarity and helps you speed up node configuration.