Local where it matters
Sensitive steps can run through local models while other nodes use Claude, Gemini, or Codex for higher-capability tasks.
Local-first agents
Build local AI agents that stay on your machine.
RAPR AI is built for users who care about control. Run local models through Ollama when privacy matters, and combine them with cloud models only when the task calls for it.
Run offline-capable agent steps with Ollama
Keep memory, workflows, and sessions local
Use encrypted credentials for connected providers
Blend local and cloud models in one workflow
Desktop-native execution
RAPR is not a hosted chatbot. It is a desktop workflow app designed to orchestrate agent runs from your own machine.
Memory across providers
Shared memory helps you continue projects across models without re-explaining the same context every time.
Questions people ask
Short answers for the search terms around local ai agents.
Can AI agents run locally?
Yes. With local model runtimes like Ollama, agent steps can run on your machine. RAPR AI lets those local steps participate in larger workflows.
Does RAPR AI require a cloud account?
No. RAPR can use local models, and cloud providers are optional depending on the workflow you build.