I am not trying to build a better LMStudio or Jan. This is more of a curated App to run models locally without requiring the technical knowledge or having to filter out the sea of models on HuggingFace. I selected Qwen3-VL as the vision model for now because of its benchmarks and footprint for consumer grade hardware. It also handles regular text-to-text quite well as well.

Note that there is a known bug in Qwen3-VL models where it will loop indefinately in some cases and never complete. In this case stop the generation and tweak your prompt. This is a model behavior, not the App. reference: QwenLM/Qwen3-VL#1611 (comment)

https://qwen.ai/blog?id=99f0335c4ad9ff6153e517418d48535ab6d8afef&from=research.latest-advancements-list

• Vision capabilities with Qwen3-VL model (describe images, analyze screenshots)
• Continuity Camera input (capture photos directly from iPhone/iPad)
• Code syntax highlighting for 20+ programming languages
• Edit responses inline after generation
• HTML preview for rendered content
• Enhanced LaTeX math rendering in blockquotes
• Improved rendering engine with real-time code block highlighting

• Apple Intelligence integration for on-device AI
• Vision mode for image understanding (llama.cpp + Qwen3-VL)
• Voice input with speech-to-text
• GitHub Flavored Markdown rendering
• LaTeX math rendering (KaTeX)
• Liquid Glass UI design
• App sandbox security
• Developer ID signed and Apple notarized

1. Download the DMG file below
2. Open the DMG and drag Vesta to Applications
3. Launch Vesta from Applications folder
4. On first run, right-click and select "Open" if prompted

• Untethered from the internet (except one-time Vision model download)
• All AI processing happens on-device
• No data sent to external servers

• macOS 26.0 (Tahoe) or later
• Mac with Apple Silicon
• Microphone access (for voice input features)

Official distribution repository for Vesta - AI-powered chat assistant with Apple Intelligence integration.

For cli lovers, I've created something similar here: https://github.com/scouzi1966/maclocal-api

⬇️ Download Latest Release

All releases are code-signed with Developer ID and notarized by Apple for security.

• Apple Intelligence Integration - On-device AI processing with Apple's Foundation Models framework
• System Prompt Control - The system prompt (Instructions in Apple's jargon) can be modified
• Context use indicator - Approximate context window usage
• ** (NOW DEPRECATED) Load LoRA adapters** - Allows loading custom adapaters trained with Apple's toolkit (https://developer.apple.com/apple-intelligence/foundation-models-adapter/). An example adapter can be found here: https://github.com/scouzi1966/vesta-mac-dist/tree/main/adapters
• Voice Input - Speech-to-text functionality for natural interaction
• LaTeX Math Rendering - Support for mathematical equations and formulas
• Liquid Glass UI - Beautiful macOS-native interface design
• Complete Privacy - All processing happens on-device, no data sent to servers
• App Sandbox Security - Enhanced system protection and security compliance

1. Download the latest DMG file from the releases page
2. Open the DMG file
3. Drag Vesta.app to your Applications folder
4. Launch Vesta from Applications
5. First Run: If you see a security warning, right-click Vesta and select "Open"

• macOS 26.0 Beta or later
• Apple Silicon Mac (M1 or later recommended)
• Xcode 26.0 Beta for development builds
• Microphone access for voice input features

• Signed with Developer ID Application: Soprano Technologies Inc.
• Notarized by Apple for additional security verification
• App Sandbox enabled for enhanced system protection

• 100% On-Device Processing - All AI computations happen locally
• No Data Collection - No analytics, telemetry, or user data sent to servers
• Microphone Privacy - Voice input may be sent to Apple with Apple security for speach to Text
• Transparent Permissions - Clear explanations for all requested permissions

Simply download the DMG from the releases page and install normally.

This is a distribution-only repository. Build automation is handled from the main development repository.

• Source Code: Private development repository (contains all source code and build scripts)
• Distribution: This repository (public downloads only)

See Releases for complete version history and changelog.

For support, feature requests, or bug reports:

1. 🐛 Report an Issue - Report bugs, crashes, or unexpected behavior
2. 💡 Request a Feature - Suggest new features or improvements
3. ❓ Ask Questions - Get help with installation or usage

Before creating a new issue:

• Check existing issues for similar problems
• Verify you're running the latest version
• Ensure your system meets the requirements above

© 2025 Soprano Technologies Inc. All rights reserved.

• Apple Intelligence - Foundation Models framework
• SwiftUI - Native macOS interface
• Speech Recognition - Apple Speech framework
• LaTeX Rendering - MathJax integration
• Automated Pipeline - GitHub Actions + Custom Scripts

🤖 Built with automated distribution pipeline
🔒 Notarized and code-signed for security
🚀 Ready for production deployment