A native macOS client that brings Amazon Bedrock's AI models directly to your desktop. Access Claude Sonnet 4.5, Opus 4.5, and other foundation models through a clean interface designed for macOS, with system-wide quick access and full AWS integration.
brew tap didhd/tap
brew install amazon-bedrock-client
- Configure your AWS credentials (SSO or access keys in
~/.aws/credentials) - Press Option+Space from anywhere to start using AI
System-wide access
Press Option+Space from any application to open a lightweight AI assistant window. Ask questions, analyze code, or process documents without switching contexts.
Native AWS integration
Built on Amazon Bedrock's ConverseStream API with full support for AWS SSO, credential profiles, and multi-region deployments. Your credentials stay local and secure.
Latest foundation models
Access Claude Sonnet 4.5, Opus 4.5, Haiku 4.5, and other Bedrock models including Llama 4, Mistral, Qwen3, and DeepSeek V3. Multi-modal support for images and documents with prompt caching.
Image & Video generation
Nova Canvas, Titan Image Generator, and Stability AI (SD3, Ultra, Core) with 13 specialized services. Nova Reel for video generation (6s-2min) with async S3 output.
Model Context Protocol
Extend capabilities with MCP tools and agents. Track tool usage and execution directly in your conversations.
Built for macOS
Native Swift 6 application optimized for macOS 14+. Liquid glass UI effects on macOS 26+, dark mode support, and keyboard-first navigation throughout.
- Real-time streaming responses with extended thinking support
- Document and image upload (PDF, Word, images) with compression
- Image generation: Nova Canvas, Titan Image, Stability AI
- Video generation: Nova Reel with text-to-video and multi-shot modes
- Conversation search and history management
- Voice transcription for hands-free input
- Custom system prompts and inference parameters
- Code generation with syntax highlighting
- Configurable hotkeys and keyboard shortcuts
- macOS 14 or later
- AWS account with Amazon Bedrock access
- AWS credentials configured via SSO or access keys
Navigate to your project directory and press Option+Space to open Quick Access, or launch the full application from your Applications folder.
Keyboard shortcuts:
Option+Space- Quick Access window (customizable)Cmd+Shift+K- Toggle Quick Access from menuCmd+F- Search conversationsCmd+N- New chatCmd+,- Settings
Model configuration:
Select models from the dropdown, configure system prompts, adjust temperature and reasoning parameters in Settings.
AWS profiles:
Switch between credential profiles and regions in Settings > Developer tab.
See the Troubleshooting Guide for common issues including AWS credential setup and parameter validation.
Contributions are welcome. Fork the repository, create a feature branch, and submit a pull request. See the CONTRIBUTING.md file for details.
This project is licensed under the MIT-0 License. See the LICENSE file for details.
