Work with Knime

Once you've built a workflow, the next steps are to share it, run it, and put it into production. This section covers everything that happens around your workflows: where they live, who can access them, how they run, and which credentials and AI models they use.

Organize your work

Spaces hold your workflows, components, and data. Each space has its own visibility settings, and versioning tracks every change to its contents so you can restore earlier states.

• How spaces and versioning work
• Create and manage spaces
• Version your work

Collaborate in teams

Teams control who can access your spaces and resources. Add members, assign roles, and decide who can view, edit, or run your workflows.

• How teams work
• Manage team members
• Roles and permissions

Run and deploy workflows

Run a workflow manually, or deploy it to run on a schedule, as a REST service, on a trigger, or as an interactive data app. Each run uses a compute class, which determines the resources and the execution credits it consumes.

• Running workflows
• How deployments work
• Deploy your first data app

Use AI models with GenAI Gateway

GenAI Gateway routes AI node requests to AI providers. Configure which models your team can use from one central place.

• How GenAI Gateway works
• Manage and use AI models

Manage credentials

Store credentials as secrets so your workflows can access external systems without exposing passwords or tokens. Use application passwords to authenticate external tools against Knime.

• How secrets work
• Manage and use secrets
• Application passwords