10 posts found
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.
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.
Compare top 5 Gemini desktop clients for 2026. Askimo excels with native performance, multiple AI models support, and RAG-powered project indexing. Google AI Studio offers official integration. Msty provides multi-provider desktop chat. BoltAI delivers Mac-native AI assistance. Chatbox offers minimal, lightweight chat. All support Gemini but differ in features, privacy, and multimodal capabilities. Includes setup guides and use-case recommendations.
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.
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.
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.
Compare top 5 Ollama desktop clients for 2026. Askimo excels with native performance, multiple AI models support, and RAG-powered project indexing. LM Studio offers easy model management. Open WebUI provides self-hosted team workflows. AnythingLLM focuses on document RAG for chatting with PDFs. Chatbox delivers minimal, lightweight chat. All support local-first privacy but differ in performance, RAG capabilities, and features. Includes setup guides and use-case recommendations.
Major Askimo App update adds multilingual support for 10+ languages including English, Vietnamese, Chinese, Japanese, Korean, French, German, Spanish, Portuguese, and Italian. Introduces 18 themes with light, dark, and system-adaptive options. New developer tools include real-time resource monitoring, enhanced debugging, and granular log controls. Significant performance improvements especially on Windows, plus better error handling across all platforms.
Askimo App provides an Ollama GUI for running local AI models like Llama 3, Mistral, Phi 3, and Gemma. Features persistent history, in-chat search, starred conversations, and export options. Project-aware RAG enables chatting with your codebase or documents using local models with complete privacy. Switch seamlessly between Ollama and cloud providers. Includes lazy loading, custom directives, and automatic endpoint detection.
Askimo App complements the CLI for interactive AI work. Switch between OpenAI, Claude, Gemini, and Ollama in one session without separate browser tabs. The app maintains your workspace and conversation context when switching providers. Start with OpenAI, jump to Gemini, or use local Ollama models seamlessly. Features offline support, secure storage, and native cross-platform performance for unified AI workflows.
