Luna OS: AI-powered desktop assistant for local use
Luna OS is an AI-powered desktop application that acts as a local assistant. It uses LLMs to provide useful assistance directly on the user's machine, aiming to be a practical alternative to cloud-based assistants. Built for a hackathon, it targets developers and users who want an AI assistant that runs locally.
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Rowboat: Open-source local-first work app with customizable surfaces on Claude
Rowboat is an open-source, local-first desktop application that extends Claude into a full-fledged work app. It allows users to build custom work surfaces for tasks like note-taking, reply suggestions, and more, using LLMs to assist in real-time. It targets professionals who need a more structured, customizable AI workspace beyond a chat interface.
Open-source private desktop AI overlay with MCP support
Wisp is a desktop overlay that lets you invoke AI from any app via keyboard shortcuts, with context like text, screenshots, or active window. It supports voice queries, dictation, and pasting results directly, keeping data local and private.
AI-powered desktop overlay for coding assessments and interviews
HintLens is an AI-powered desktop overlay that stays on top of the screen to provide answers during coding online assessments and interviews. It uses LLMs to help users avoid switching between apps or browser tabs, reducing stress from strict time limits and challenging questions.
CouncilAI: local desktop app routing questions to 4 AI models
CouncilAI is a Windows desktop app that runs four local AI models and routes user questions to the appropriate model based on complexity. Simple questions use a fast lightweight model, while complex ones trigger deliberation where multiple models answer and the best response is selected. It operates fully offline on the user's hardware, requiring no accounts or cloud services.
Open-source desktop agent for local computer use, browser control, and file/code tasks
EverFern is an open-source (MIT) desktop agent that performs computer use, browser control, and file/code tasks entirely locally. It uses LangGraph for agent orchestration and supports local models via Ollama/LM Studio or cloud providers. Aimed at users who want to avoid subscription fees and keep data private.
