Summary

Tuff is an open-source, local-first, AI-native desktop command center designed for developers and power users seeking enhanced OS productivity. It acts as an infinitely extensible core, unifying app and file searches, command execution, and offering a powerful TypeScript SDK. The primary benefit is a smarter, faster, and more adaptable workflow through contextual intelligence and user-defined AI integration.

How It Works

Built on a sandboxed architecture, Tuff prioritizes local-first AI and extensibility. Its design anticipates user intent, offering contextual intelligence and proactive command suggestions. A key advantage is the ability to integrate user-provided LLMs, whether from a private cloud or self-hosted, ensuring data privacy and control. The system is crafted to be a foundational layer for the OS, hackable and open by design, powered by a robust TypeScript SDK.

Quick Start & Requirements

The README does not specify installation commands or detailed prerequisites like GPU, CUDA, or specific Python versions. Crucially, Linux is no longer actively supported, and Windows compatibility testing is delayed by approximately two months compared to macOS. Users should refer to the project's GitHub releases for available versions.

Highlighted Details

• AI-Powered Search: Utilizes natural language processing to locate applications, files, and actions.
• Contextual Intelligence: Proactively suggests relevant commands based on the user's current activity.
• Extensibility: Supports custom plugins, termed "Capabilities," to expand core functionality.
• Bring Your Own LLM: Enables connection to private or self-hosted Large Language Models for enhanced privacy.
• Direct Preview Calculation: Renders instant cards for inline arithmetic, unit, currency, and time queries.
• Unified Download Center: Provides centralized download management with progress tracking and resume capabilities.

Maintenance & Community

Contact is available via email at TalexDreamSoul@Gmail or through GitHub issues. The project is open-source and welcomes contributions. Specific community channels (e.g., Discord, Slack) or a public roadmap are not detailed in the README.

Licensing & Compatibility

The project is licensed under the MIT License. This license generally permits commercial use and integration within closed-source projects.

Limitations & Caveats

Active support for Linux has been discontinued. Windows compatibility is subject to a delayed testing schedule. Issue resolution is contingent on developer availability and adherence to strict issue templates, with no guarantee of problem-solving.