Askimo News & Updates: New features, releases and ways to get more done with AI.
A single ChatGPT prompt for stock research produces shallow, generic output. This guide shows a step-by-step AI workflow that mirrors how professional analysts actually think: profile the business, stress-test the financials, assess risk, then write the brief. Each stage builds on the last, producing output that is specific, traceable, and ready to export as PDF or Word.
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Askimo's Script Runner makes AI-generated code actually useful. Run Python, Bash, or Node.js scripts directly inside the app, view real stdout output instantly, and iterate faster without copy-pasting into a terminal. Great for data processing, log analysis, small automations, and reproducible workflows - all local, all private.
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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.
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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.
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A comprehensive technical deep dive into building Askimo - an open-source desktop AI chat client for ChatGPT, Claude, Gemini, and Ollama built with Kotlin and Compose. Learn how we architected support for multiple AI models, handled concurrent streaming, implemented RAG for documents, and solved real-world challenges in production.
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Askimo App provides a powerful GUI client for Docker Model Runner, Docker's official feature for running AI models locally with OpenAI-compatible endpoints. Features persistent history, in-chat search, starred conversations, and export options. Project-aware RAG enables chatting with your codebase using local Docker AI models with complete privacy. Switch seamlessly between Docker Model Runner and cloud providers.
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The best AI desktop app isn't the one with the best single model - it's the one that lets you use ChatGPT, Claude, Gemini, and Ollama together. Switch models mid-conversation, keep sensitive data local, and cut API costs by routing simple tasks to free local models. Askimo is free, open source, and works on macOS, Windows, and Linux.
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ChatGPT Desktop offers official OpenAI integration with voice support and seamless GPT model access. Askimo provides all-in-one AI flexibility, connecting to OpenAI, Anthropic Claude, Google Gemini, X AI, Ollama, LM Studio, LocalAI, and Docker AI in one desktop app with local storage, RAG support, and offline capabilities. Compare features, pricing, and use cases to choose the right AI chat client for your workflow.
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