Alternatives
Products that do what Native macOS app for chatting with Ollama models does
Hello everyone, I've built a simple macOS app for chatting with models downloaded by Ollama - https://github.com/sheshbabu/Chital It's written in Swift, consumes less memory and loads fast. It has these features: * Support for multiple chat threads * Switch between different models * Markdown support * Automatic chat thread title summarization It's my first time working with Swift and Xcode, and it has been an interesting journey. The performance of the application is a big plus when building native apps, but I wonder if I'll be able to add features like document…
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Hi HN, I’m excited to share LocoStudio (http://locostudio.ai), a local-first AI chat app for Mac that lets you chat with AI models both locally and in the cloud—all in one place. Why I built it: I wanted a private, fast, and flexible way to use the latest AI models without sending my data to the cloud. Most AI chat apps are either cloud-only (raising privacy concerns) or have clunky interfaces for local models. LocoStudio aims to make local AI chat as easy and powerful as using ChatGPT, but with your data staying on your device. What it does: - Private, local-first: Run open models…
2025 · locostudio.ai
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Hey! Alexis and Tobi here. We built a native macOS client for ChatGPT API that is free to use (macOS Ventura). https://www.jamgpt.app/ We built and fine-tuned it to scratch our own specific text-processing itches, so we just wanted to share this with the community. If you work with a lot of text or code like we do, check it out. Its core features include: - Instantly talk to ChatGPT from anywhere on your Mac by pressing a keyboard shortcut. - Avoid typing out repetitive prompts by saving prompts and accessing them quickly. - Just download and start typing as you would with…
2023
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Osaurus is an open-source local inference runtime for macOS, written in Swift and optimized for Apple Silicon. It lets you run Apple Foundation Models locally — fully accelerated by the Neural Engine — while also exposing OpenAI- and Ollama-compatible endpoints, so you can connect your favorite apps, tools, or clients without any code changes. Key points: * Supports Apple Foundation Models natively * Compatible with OpenAI & Ollama APIs * ~7 MB binary, runs locally (no cloud, no telemetry) * MIT Licensed, open source Project: https://osaurus.ai Source:…
Oct 2025 · github.com
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ChatOSS is built on Ollama. If you use Ollama, ChatOSS local works out of the box. ChatOSS is a GUI desktop app that has multiple agentic coding apps and a kanban board integrated into coding sessions. There's also a simple way to create your own AI powered apps that can run inside of ChatOSS.
18d ago · chatoss.ai
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Excited to launch a side-project that I've been working on over the past few weeks, LlamaChat: an open-source SwiftUI app which allows you to chat with your local LLaMA models right on your Mac. Powered by the excellent llama.cpp (and Swift wrapper, llama.swift), LlamaChat allows you to import your local LLaMA models (and Alpaca, GPT4All, and soon, Vicuna and Koala) and interact with them locally.
2023 · github.com
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2025 · youtube.com
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Download link: https://github.com/downloads/crazyideas/chatta-osx/chatta-osx-beta2.zip I've been working on a open source OS X app called chatta in my free time. chatta uses Google Talk when your friends are online to send them instant messages and Google Voice when they are offline to send them text messages. It handles all the switching and merging for you, you just message. Both the App and the library that backs it, ChattaKit, are open source and you can check them out on github: https://www.github.com/crazyideas/chattakit https://www.github.com/crazyideas/chatta-osx It's still an early…
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Hey HN, I wanted to share a project I’ve been working on called Convoxa. It’s a native iOS transcriber/summarizer. I had two main goals: keep it efficient and keep it private. THE TECH STACK 100% Swift & SwiftUI: No heavy cross-platform wrappers or bloated dependencies. Binary Size: The final build is only 4.8 MB. Transcription: Uses Apple's latest speech APIs for maximum privacy and efficiency. THE CHALLENGE: BYPASSING THE 4K CONTEXT LIMIT The biggest technical hurdle was working with Apple’s foundation models. The default context window is capped at 4096 tokens, which is practically…
Jan 2026 · apps.apple.com
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Hello all, I made a small transcription app for your Mac based on OpenAI’s Whisper. Would love some feedback. My plan is to make it easy to load weights from any fine-tuned whisper model to enable specialized dictation for any subfield. It’s still early in development. Thanks!
2023 · twitter.com
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I built Open WhisperScribe after struggling with the complexity, paywalls, or limitations of most speech-to-text tools for macOS and elsewhere. My main requirements were: Simple, <5-min setup Runs fully offline, locally (no data leaves your machine) Works seamlessly in any app — just press a hotkey, speak, and your words appear where your cursor is (code editors, terminal, you name it) Fast and distraction-free It uses OpenAI’s Whisper model under the hood, but wraps it in a lightweight CLI tool that sits quietly in the background. The project is open source (Apache 2.0). Setup is a single…
2025 · github.com
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Hi Hackernews, we're Maitreya, Prateek and Marmik. Over the past few months we've been working on building a platform to build, scale and monitor voice based LLM applications. Demo (https://www.youtube.com/watch?v=OSrOmyR7oQs) 1⃣ Open Source orchestration: We're open-sourcing our orchestration to quickly setup and create LLM based voice driven conversational applications https://github.com/bolna-ai/bolna/ 2⃣ Hosted API Platform: Exposing our managed solution via APIs to build voice driven applications…
2024 · bolna.dev
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800M people use ChatGPT and Claude weekly. Right now they get text responses. Soon they'll get real interfaces: product cards, blog posts, booking flows, payment screens rendered directly in the conversation. We built an open-source component library for this. Install any block with one command and customize it to your brand. If you're building MCP servers or experimenting with AI-native apps, this might save you time. Are you building apps for AI assistants? Would love to hear what's missing in your workflow.
Dec 2025 · ui.manifest.build
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I have always dreamed of learning Swift and creating apps for iOS, but I never found the motivation to do so. I was scared by the complexity and the learning curve of programming with UIKit and Storyboard. I thought they were too complicated and too boring for me. But then I discovered SwiftUI, the new framework for building user interfaces for Apple platforms. I was captivated by its simplicity and elegance. I watched some videos and read some articles about it and I was blown away by what it could do. I decided to give it a shot and see if I could learn it and make something with it. I set…
2023 · apps.apple.com
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