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Looking for the best AI chat client in 2026? This guide compares seven of the most popular AI chat apps - Askimo, Jan, ChatGPT Desktop, Claude Desktop, Msty, Open WebUI, and LibreChat - across providers supported, privacy, local model support, MCP tools, and price, so you can pick the one that actually fits how you work.
Askimo's RAG (Retrieval-Augmented Generation) with Ollama enables chatting with your documents, research papers, notes, and project files using local AI models like Llama, Mistral, and Phi. Automatically index PDFs, Word documents, spreadsheets, and text files with smart search. Ask questions about your content in plain English - all locally with zero data leaving your machine. Perfect for researchers, writers, students, and anyone managing large collections of documents.
New in Askimo: built-in terminal emulator, Model Context Protocol (MCP) integration, a RAG sources tree to inspect exactly what the assistant used, image-model support for multimodal workflows, and major desktop improvements across performance, reliability, and UX.
Askimo 1.2.0 introduces project-based RAG for answering questions using your documents with jvector and Apache Lucene search. Attach PDFs, spreadsheets, images, or code directly in conversations. Docker AI support joins OpenAI, Claude, Gemini, and Ollama. Enhanced project sessions organize knowledge-based chats. Responsive design works across all screen sizes. macOS installer now fully notarized for secure installation.
