Caverno vs Roomtape

Caverno is a powerful chat client for locally-hosted LLMs. Connect to Ollama, LM Studio, vLLM, or any OpenAI-compatible API endpoint and start chatting — no cloud required. KEY FEATURES • Any OpenAI-Compatible Server Connect to your own LLM running on localhost or your local network. Supports any endpoint that speaks the OpenAI API format. • Tool Calling (MCP Protocol) Extend your AI with real-time tools — web search, calculator, code execution, and more. Caverno uses the Model Context Protocol to let your LLM take actions. • Session Memory Your assistant remembers your preferences, constraints, and context across conversations. Memory is stored locally and fully under your control. • Voice In & Out Speak your messages and have responses read aloud. Configurable speech rate and auto-read options. • Image Attachments Attach photos from your library to include visual context in your conversations. • Multiple Conversations Create, switch, and manage separate chat threads. All conversations are persisted locally. • Assistant Modes Switch between General and Coding modes for different response styles tailored to your task. • Privacy First No account required. No data sent to third parties. All conversations and memory stay on your device — the only network connection is to the server you configure. GETTING STARTED 1. Install an OpenAI-compatible LLM server (Ollama, LM Studio, etc.) 2. Open Caverno and go to Settings 3. Enter your server URL and select a model 4. Start chatting! Caverno is designed for developers, AI enthusiasts, and anyone who wants full control over their AI assistant.

Build saved furniture arrangements for a rectangular room using measured dimensions, positions and clearance margins. HOW IT WORKS 1. Open Furniture Fit from a rectangular room and confirm its dimensions. 2. Add furniture footprints, move or rotate them and review wall and overlap warnings. 3. Save a layout variant and share its measurement summary. Refresh the room dimensions explicitly when needed. Room notes and existing measurement workflows remain available. WHAT TO KNOW This is a two-dimensional rectangular fit check. It does not assess doors, delivery routes, structural loads, accessibility compliance or irregular rooms. Walking estimates are not a substitute for measuring critical clearances. iPhone and iPad.