ScrapChat – a self-hosted UI for llama.cpp with web search, vision, and real-time slot monitoring

ScrapChat is a lightweight Node.js frontend for your local llama.cpp server. No cloud required, no telemetry, no lock-in.

What makes it different:

🔍 Autonomous web search – the LLM calls Tavily search itself, then fetches and reads full pages via Readability. You just ask; it researches.

🖼️ Vision support – paste images from clipboard, drag-and-drop, or upload. Works with multimodal models like Qwen3.5.

🧠 Reasoning model support – Qwen3 <think> blocks stream live into collapsible sections so you can watch the model think.

📊 Slot monitoring – pin conversations to specific llama.cpp slots; live context usage bar reads actual n_ctx from the server.

⚡ 5-round tool chaining – the model can search → fetch → reason in a single reply without any prompting from you.

Stack: Express v5, Vanilla JS, Tailwind CSS v4. Zero frontend build step.

https://github.com/ollls/ScrapChat