Local where it counts
Use Ollama for sensitive drafts, classification, cleanup, or local reasoning steps where keeping data on your machine is important.
Ollama workflows
Ollama agent workflows that can join a larger AI pipeline.
RAPR AI lets local Ollama steps participate in multi-model workflows, so private or offline-capable work can live beside higher-capability cloud steps.
Run local model nodes with Ollama
Combine local and cloud models in one graph
Keep workflow state and sessions on your machine
Use skills to shape specialized agent behavior
Cloud where it helps
Route tasks that need stronger reasoning or broader context to Claude, Gemini, Codex, or custom providers.
Visible execution
The workflow graph makes it clear which steps are local and which steps call external providers.
Questions people ask
Short answers for the search terms around ollama agent workflows.
Can RAPR AI use Ollama?
Yes. RAPR AI supports local-first workflows with Ollama and can combine those steps with cloud model nodes.
Why use Ollama in an agent workflow?
Ollama is useful for local, private, or offline-capable steps that do not need to call a hosted AI provider.