
Ollama Client
Chat with local LLMs — right inside your browser
Ollama Client launched on June 8, 2025 with 12 votes, #1,876 of 7,999 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Ollama Client is a fast, privacy-first Chrome extension to chat with local LLMs via Ollama. Switch models, tweak settings, manage prompts, and chat seamlessly—all in your browser, without sending data to the cloud.
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I built a free in-browser Llama 3 chatbot powered by WebGPU2024 · github.com · ▲547I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…
I made an app to use local AI as daily driver2024 · recurse.chat · ▲637Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…
- TSTrolling SMS spammers with Ollama2025 · evan.widloski.com · ▲318
I've been working on a side project to generate responses to spam with various funny LLM personas, such as a millenial gym bro and a 19th century British gentleman. By request, I've made a write-up on my website which has some humorous screenshots and made the code available on Github for others to try out [0]. A brief outline of the system: - Android app listens for incoming SMS events and forwards them over MQTT to a server running Ollama which generates responses - Conversations are whitelisted and manually assigned a persona. The LLM has access to the last N messages of the conversation…


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