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Open Computer Use is an open-source computer automation service that allows AI agents to interact with desktop applications through the Model Context Protocol. It provides a cross-platform alternative to proprietary computer-use tools, supporting macOS, Windows, and Linux. The software uses operating system accessibility interfaces and screen information to help agents interpret and control graphical applications. AI assistants can perform desktop tasks through a standardized computer interaction interface. The project integrates with Codex, Claude Code, Gemini CLI, OpenCode, and DeepSeek Harness. ...

LLM.swift is a Swift package that enables developers to run Large Language Models (LLMs) directly on Apple devices, including iOS, macOS, and watchOS. By leveraging Apple's hardware and software optimizations, LLM.swift facilitates on-device natural language processing tasks, ensuring user privacy and reducing latency associated with cloud-based solutions.​

...It combines conversational assistance with practical automation through browsers, command-line tools, and connected applications. Users can customize the agent's name, appearance, and behavior. Its persistent memory stores personal context and preferences in editable Markdown files. The software supports scheduled tasks that continue running when the application is closed. Cross-device communication allows users to initiate tasks on one device and execute them on another. Sensitive or irreversible actions require approval before execution. Available for Android, iOS, Windows, macOS, Linux, and the web, nanoMuse supports multiple AI providers and optional self-hosted infrastructure.

Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the...