Search Results for "local"
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Showing 12 open source projects for "local"
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1
Ollamac
Mac app for Ollama
Ollamac is an open-source native macOS application that provides a graphical interface for interacting with local large language models running through the Ollama inference framework. The project was created to simplify the process of using local AI models, which typically require command-line interaction, by offering a clean and intuitive desktop interface. Through this interface, users can run and chat with a variety of LLM models installed through Ollama directly on their own machines. ... -
2
Osaurus
AI edge infrastructure for macOS. Run local or cloud models
...The project provides a native runtime that allows applications to access large language models and AI tools directly on the user’s machine without relying entirely on cloud services. Osaurus supports running both local and remote models, enabling developers to build AI-powered applications that can operate offline or leverage external APIs when needed. The platform acts as an always-on runtime that coordinates AI tasks, tools, and workflows while enabling applications to communicate with models through standardized interfaces. Developers can extend the system through plugins that expose additional capabilities, tools, or services to the runtime using a structured plugin architecture. ... -
3
fullmoon
Chat with private and local large language models
Fullmoon is a free, open-source application that enables users to interact with large language models directly on their devices, ensuring privacy and offline accessibility. Optimized for Apple silicon, it operates seamlessly across iOS, iPadOS, macOS, and visionOS platforms. Users can personalize the app by adjusting themes, fonts, and system prompts, and it integrates with Apple's Shortcuts for enhanced functionality. Fullmoon supports models like Llama-3.2-1B-Instruct-4bit and... -
4
Enchanted
Enchanted is iOS and macOS app for chatting with language models
...Designed to work seamlessly with servers like Ollama, it provides a privacy-focused alternative to traditional cloud AI UIs by connecting directly to your own LLM endpoints such as Llama, Mistral, Vicuna, and more. The interface resembles familiar commercial chat apps but emphasizes local control, offline capabilities, and multimodal support, making it ideal for users who want rich AI interaction without exposing sensitive prompts or conversations to third-party services. Enchanted enables features like voice prompts, image attachments, and markdown formatting within chats, giving flexibility for both casual and professional use. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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5
Dayflow
Automatic AI-powered timeline of your daily work activity logs
...It is built as a native SwiftUI application and emphasizes efficiency, using minimal CPU and memory while running in the background. A strong focus is placed on privacy, as all captured data remains local by default and users can choose their preferred AI provider, including local models or external services. The generated timeline includes summaries, distraction highlights, and visual representations of the day, helping users reflect on productivity and workflow patterns. -
6
MochiDiffusion
Run Stable Diffusion on Mac natively
MochiDiffusion is a native macOS application that allows users to run Stable Diffusion models locally, leveraging Apple Silicon GPU acceleration via Core ML. It offers users GUI controls for prompts and model configuration without needing Python or Docker, enabling offline image generation. -
7
FluidVoice
Fastest macOS Offline Dictation app
...It is designed for fast, low-latency voice input across apps, with support for global hotkeys and direct text insertion. The app includes write mode for dictating or rewriting text in any text field and command mode for controlling Mac actions by voice. Its local enhancement layer can improve formatting, capitalization, and post-processing without sending data away from the Mac. FluidVoice supports multiple speech models so users can choose between speed, language coverage, and compatibility. It also includes live preview, history, usage stats, theming, menu bar access, and per-app configuration. -
8
Core AI Models
Model export recipes, Python primitives, and Swift runtime utilities
...The repository also contains agent skills that guide coding assistants through Core AI workflows, model authoring, and compression exploration. It is useful for developers who want a curated path from model preparation to local app integration on Apple hardware. -
9
WhisperKit
On-device Speech Recognition for Apple Silicon
WhisperKit is a Swift package that integrates OpenAI's popular Whisper speech recognition model with Apple's CoreML framework for efficient, local inference on Apple devices. Whisper has pulled the future forward when fast, free and virtually error-free translation and transcription will be ubiquitous. It inspired numerous developers to improve and deploy it with minimal friction and maximum performance. We founded Argmax in November 2023 to empower developers and enterprises everywhere to deploy commercial-scale inference workloads on user devices. ... -
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10
Quotio
Stop juggling AI accounts. Quotio is a beautiful native macOS menu bar
Quotio is a native macOS menu bar application designed to unify and manage multiple AI service accounts and quota usage in one consolidated interface. It works alongside a local proxy server (CLIProxyAPI) and helps developers who use various AI coding assistants such as Claude, Gemini, OpenAI Codex, Qwen, and others — avoiding the hassle of juggling tokens, keys, and rate limits across different providers. Through real-time dashboard views, users can monitor request traffic, token consumption, and success rates, and set smart auto-failover strategies so that services switch automatically when one provider’s quota is exhausted. ... -
11
Cheetah
AI macOS app for real-time coding interview coaching assistance
Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. It then leverages language models to generate suggested answers, refinements, or explanations tailored to the ongoing discussion. Cheetah also connects with live coding environments through a browser extension, allowing it to analyze code and logs directly from supported platforms. ... -
12
ARKit + CoreLocation
Combines the high accuracy of AR with the scale of GPS data
ARKit uses camera and motion data to map out the local world as you move around. CoreLocation uses wifi and GPS data to determine your global location, with a low degree of accuracy. ARKit + CoreLocation combines the high accuracy of AR with the scale of GPS data. The potential for combining these technologies is huge, with so many potential applications across many different areas.
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