Chatty for LLMs Chrome Extension
Chats with locally running LLMs through Ollama and lets you RAG the page you're viewing.
At a glance
3.9 out of 5
Scored by Alex after real useOur verdict
Chatty for LLMs connects to a local Ollama instance so you can chat with your own installed models and run retrieval-augmented generation against whatever document is open in the active tab. It requires manually starting Ollama with a specific export command before it will connect. With no ratings yet, there's little outside evidence of how smoothly that setup works in practice.
✓What it does well
✕Where it falls short
Key features
Questions about Chatty for LLMs Chrome Extension
What does Chatty for LLMs Chrome Extension do?
Chatty for LLMs connects to a local Ollama instance so users can chat with their own installed models from the browser. It can also run retrieval-augmented generation, or RAG, against whatever document is open in the active tab. Everything runs on local models, with no cloud dependency.
What do you need to use Chatty for LLMs Chrome Extension?
Chatty for LLMs requires Ollama installed and running locally, and the reviewer notes that Ollama must be started manually with a specific export command before the extension will connect. It works with any LLM installed in Ollama, which makes it best for developers running local LLMs.
Does Chatty for LLMs Chrome Extension work with cloud AI models?
No. Chatty for LLMs works only with locally installed LLMs, not cloud APIs, and the reviewer lists this local-only scope as a limitation. The upside is that everything keeps running on the user's own local models.
Is Chatty for LLMs Chrome Extension free?
Chatty for LLMs is free, with a $0 plan and no paid plan found on the Chrome Web Store in September 2026. It runs in Chrome. Toolio scores it 3.9 out of 5, scored by Alex after real use on 3 Oct 2026.
Is Chatty for LLMs Chrome Extension reliable?
Chatty for LLMs has no ratings yet, so there is little outside evidence of its real-world reliability. The reviewer notes this makes it hard to judge how smoothly its manual Ollama setup works in practice.