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Ollama Client FAQ

Ollama Client is a local-first browser extension for chatting with local and self-hosted AI models. It runs in Chrome and Firefox and connects to providers you control: Ollama, LM Studio, llama.cpp, vLLM, LocalAI, KoboldCPP, or another OpenAI-compatible server.

Does Ollama Client send my data to a cloud service?

Section titled “Does Ollama Client send my data to a cloud service?”

No cloud service is required by Ollama Client. Chat history, settings, uploaded files, and knowledge indexes are stored locally in the browser extension. Model requests go to the provider endpoint you configure.

If you configure a remote provider, the prompt data needed for that request goes to that remote endpoint. If you configure a local provider such as Ollama or LM Studio on localhost, requests stay on your machine.

Ollama Client supports:

  • Ollama
  • LM Studio
  • llama.cpp server
  • vLLM
  • LocalAI
  • KoboldCPP
  • Other OpenAI-compatible servers through the shared OpenAI-compatible adapter

See Provider Setup for endpoints and setup steps.

Is Ollama Client an Open WebUI alternative?

Section titled “Is Ollama Client an Open WebUI alternative?”

Yes, for users who want a browser extension instead of a self-hosted web application. Open WebUI is a server-hosted interface. Ollama Client lives in the browser side panel and focuses on page context, local storage, RAG, web search, and browser-aware tools.

Yes. Ollama Client can process uploaded files and store local vector indexes for retrieval-augmented generation. File retrieval is local-first: uploaded content and embeddings are stored in browser storage, not in a hosted service.

Yes, if you enable web search and configure a backend. Supported backends include SearXNG, Brave Search, and Tavily. Web search is optional, and API keys stay in local extension storage.

For Ollama, set OLLAMA_ORIGINS so the local server accepts requests from browser-extension origins:

Terminal window
OLLAMA_ORIGINS="chrome-extension://*,moz-extension://*" ollama serve

For persistent setup and platform-specific steps, see Fix Ollama CORS errors.