Posts tagged with #desktop

Askimo 1.4.8: Reasoning Effort Controls, UI Customization, and Smarter Diagnostics

Askimo 1.4.8 gives you direct control over AI reasoning quality with configurable Reasoning Effort levels and per-model support. Anthropic prompt caching speeds up repeated queries, while drag-and-drop file attachments make it easier to share context. New font settings, accent color palettes, and spacing improvements create a more polished and personalized interface. Token usage tracking and a system diagnostics dialog improve visibility into how Askimo is running.

Best Gemini Clients in 2026: Top 5 Desktop Apps

Compare top 5 Gemini desktop clients for 2026. Askimo excels with native performance, multiple AI models support, RAG-powered project indexing, AI Plans for multi-step workflows, and Agent Skills backed by Gemini CLI, Claude Code, and Codex CLI. 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: Ollama Desktop App & GUI for Llama 3, DeepSeek, Mistral & Local AI Models (2026)

Askimo App provides an Ollama GUI for running local AI models like Llama 3.3, DeepSeek R1, Mistral, Gemma 3, Qwen 2.5, and Phi-4. 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.

How to Connect AI to Real-World Tools with MCP in Askimo Desktop

MCP (Model Context Protocol) lets your AI do real things, not just answer questions. Connect Askimo Desktop to GitHub, databases, local files, web search, and any API via Stdio or HTTP. Secrets stay in your OS keychain. Works with Claude, GPT, Gemini, and local Ollama models.

Run Python, Bash, and Node.js Scripts Inside Your AI Chat App - No Terminal Needed

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.

Askimo Desktop Updates: Built-in Terminal, MCP Integration, RAG Sources Tree, and Image Support

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.

Desktop AI Chat App: ChatGPT, Claude, Gemini & Ollama with Kotlin

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.

Askimo: Docker Model Runner App & GUI for Local AI (2026)

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 vs Askimo in 2026: Which All-in-One AI Desktop App Saves You More?

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: Smarter Answers, Better Context, and a More Comfortable Experience

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.

Best Ollama Clients in 2026: Top 5 Tools

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.

Askimo App Update: Multilingual Support, New Themes & Developer Tools

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.

Expanding Askimo Beyond Automation and Into Everyday AI Work

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.