Open Source PowerShell Software

Monitors crypto mining pools and coins in real-time and finds the most profitable for your machine. Simply edit a batch file with your Bitcoin address or username and start mining. You will start earning even during benchmarking! MultiPoolMiner is more profitable than Nicehash Miner 2 and Nicehash Miner Legacy as it uses direct pool mining. With less than 0.7% minimum fee. It supports a great number of mining pools, such as CryptoNight, Ethash, Equihash, Groestl, Keccak, Lyra2RE2, Lyra2z, MyriadGroestl, NeoScrypt, Quark, Qubit, Scrypt, SHA256, Skein, X11, and Yescrypt. Some pools overestimate the projected profits. By default MPM will reduce the projected algo price by a correction factor (actual_last24h / estimate_last24h) to counter the pool overestimated prices. MPM supports customized configuration via config files.

Generative AI for Beginners .NET is a hands-on course that helps developers build real-world AI applications using the .NET ecosystem. It walks through core concepts such as text generation, chat-based interactions, and integrating large language models into applications. Each lesson includes short videos, working code samples, and step-by-step instructions, making it easy to follow and apply immediately. Generative AI for Beginners .NET supports tools like GitHub Models, Azure OpenAI Service, and local models, giving flexibility in how projects are built and tested. Developers can run examples locally or in cloud-based environments such as GitHub Codespaces. It focuses on practical implementation rather than theory, helping users move from simple experiments to complete AI-powered solutions while understanding responsible AI usage and modern development workflows.

Microsoft Agent Framework is an open source framework designed to help developers build, orchestrate, and deploy AI agents and multi-agent systems. It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks. Microsoft Agent Framework supports graph-based orchestration that enables developers to connect agents, functions, and tools into structured workflows capable of handling multi-step processes. It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. Developers can integrate external tools and services so that agents can execute actions beyond text generation.

Blazam is a web app that lets you manage Active Directory, even from your phone. You can delegate account functions and let your users manage Active Directory objects. Blazam also has user templates, photo management, and recycle bin access. For most up to date info, see https://blazam.org

Everywhere is a context-aware desktop AI assistant designed to interact directly with the content displayed on a user’s screen. It distinguishes itself from traditional AI tools by eliminating the need for manual input methods such as copying text or taking screenshots, instead allowing users to invoke assistance instantly through a shortcut. It can analyze on-screen information in real time and provide contextual responses, making it useful for tasks like troubleshooting errors, summarizing articles, translating text, and refining written content. It integrates with multiple large language model providers and supports various tools, enabling flexible and extensible AI-powered workflows. Everywhere features a modern design with interactive elements such as markdown rendering, keyboard shortcuts, and voice input capabilities. Additionally, the project emphasizes seamless workflow integration by operating alongside existing applications rather than requiring users to switch.

ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET developers. In this GitHub repo, we provide samples that will help you get started with ML.NET and how to infuse ML into existing and new .NET apps. We're working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. The "best" model and the code for running it will be generated for you. The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using.

Just a place to collect & share the scripts I've developed as an MSP for my various software systems, like PSA & RMM... and more from other like-minded MSPs who wanted to help others! No guarantee that everything is in PowerShell, C#, or even the latest version, so be sure to read the code comments and other documentation, as well as ask the community. You may even find discussions. -pat

- Suitable for mobile apps, enterprise software in C#, data science tasks. - Can be easily used as a local database in C# application or used as database server. - Nested data structures supported. - PowerShell interface for interactive mode and scripting. See project Wiki for more.

Commitfusion is a PowerShell Module designed to streamline the process of generating Conventional Commits Messages in git. Commit messages are constructed using the Conventional Commits specification. The module allows the construction of a customized commit message with a number of parameters