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K-Nets
K-Nets
Knowledge networks — durable AI workflows built from reusable K-Nodes, which keep running through failures and restarts.
A K-Net (knowledge network) is a workflow that an agent or a person builds from K-Nodes: reusable steps such as "fetch a page", "ask a model", "write a row". K-Nets run durably: each step is retried on failure, and a run survives restarts. Their runs show in Instances.
Pages
| Page | What it is for |
|---|---|
| Marketplace | Ready-made K-Nets and K-Nodes to add to your workspace |
| K-Nets | Your knowledge networks. New K-Net creates one; search, select, export and delete from the list |
| K-Nodes | Reusable steps that K-Nets are built from |
| Flows | Your flows: visual LLM pipelines on a canvas |
| Components | Your custom components for flows |
Typical tasks
- Ask Kue to start one of the Let Kue set it up goals; it creates the K-Net for you.
- Add a ready-made K-Net from the Marketplace and run it on your own data.
- Run a saved K-Net from outside:
POST /api/v1/knet/run/{workspace_id}/{endpoint_name}(set the endpoint name in the canvas under Settings → Endpoint Name).
See Building on the Canvas for the canvas itself.