Open Source C# Artificial Intelligence Software - Page 8

Microsoft’s MCP Gateway is a reverse proxy and management layer for MCP servers that adds session-aware routing, lifecycle management, and scalable orchestration. It centralizes how clients connect to many MCP services, enabling multi-tenant isolation and consistent policies while keeping each service independently deployable. The architecture targets Kubernetes, with manifests and guidance for cluster-native scaling, health probes, and rollout strategies. It also includes local and Azure deployment recipes, making it straightforward to try on a laptop and then promote to cloud infrastructure. Core concepts—like session routing, server pools, and pluggable policies—are documented to help teams reason about stateful agent sessions at scale. By standardizing discovery and control, it reduces operational toil and improves reliability for agent platforms built on MCP.

This is a simple C# Program that uses Microsoft Azures. In the image you will find an example of a program I created using the script. It's very quick and easy to setup. I provide some screenshots and tips on where to place what where. After you have placed in your Microsoft Azures API Key and Postman Client and Body. You now be able to insert inputs via code like the example in my image(s).

Befasst sich spielerisch mit dem "Infinite-Monkey-Theorem" (http://de.wikipedia.org/wiki/Infinite-Monkey-Theorem). Deals with the "Infinite-Monkey-Theorem" in a playful way (http://en.wikipedia.org/wiki/Infinite_monkey_theorem)

MiniMax skills is a modular system designed to provide structured development capabilities for AI coding agents, enabling them to perform complex engineering tasks with guided workflows and domain-specific knowledge. It defines a set of reusable “skills” that encapsulate best practices, architectural patterns, and step-by-step processes for building applications across multiple platforms. These skills can be integrated into AI tools to improve the quality and consistency of generated code, particularly in areas such as frontend development, backend systems, mobile applications, and multimedia processing. The system supports a wide range of technologies and workflows, allowing developers to leverage AI assistance for both simple tasks and large-scale projects. It is designed to be extensible, enabling contributors to add new skills or enhance existing ones as development practices evolve.

ModelContextProtocol.NET is a C# SDK that implements the Model Context Protocol (MCP), allowing developers to build MCP servers on the .NET platform. It supports standard input/output communication and provides a framework for tool integration. The SDK is compatible with Native AOT, enhancing performance and deployment flexibility. A calculator demo implementation is included to demonstrate its capabilities. Features under development include WebSocket support, resource management, and a prompt system. ​

The intent for this project is to produce a generalized and scalable AI system.

Bringing AI to the GNOME Desktop!.

A game inspired by RoboRally developed in C# for Mono/.NET.

NOD-MP stands for not another data-mining project. It is educational and scientific software to utilize data mining clustering algorithms through a user-friendly interface.

A WebCrawler for Natural Language Processing. This WebCrawler searches for monolingual (in a specified language) and bilingual, parallel text.

Software library for performing Optical Character Recognition (OCR) targeting the .NET platform. It's ported from the JavaOCR project.

NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.

NefProx.NET is .NET implementation of NeuroFuzzy system based on NefProx(NeuroFuzzy for Function Approximator[Nauck/ Nauck/Kruse]) method. Inculding easy to use GUI and Graphic Representation of Fuzzy Set Result.

Graphical interactive windows application and library written in .Net/C# for simulating and controlling robots. Including firmware for ATmega8 to be controlled by the C# library and circuits for the ATmega8 controller board and L298-based motor board

This is a Robot simulation game that allows you to write a robot in any language you might want. The robot communicates with the game using the internet and up to 32 robots can be run at a time. WARNING: The current version is not complete!

This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.

The source code for my(Ben Thompson) 10th grade neural network science fair project. UPDATE: Got 2nd in the regional fair, 3rd in the state, 4th in international science fair.

Example of using Neural networks to implement chase between mouses and cats. Mouses search for cheese on map, while cats are chasing mouses. Goal of the project is to see will both sides learn some new behavior over time using genetic algorithms.

NeuroBox is an .NET OOP Library to generate, propagate and train complex neuronal networks with technologies like backpropagation with weight decay, momentum term, manhattan training, flatspot elimination etc.

Neuroimitator project.

NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.

A client application for a distributed artificial intelligence system intended to eventually make the internet become alive.

NxBRE is a lightweight Business Rule Engine (aka Rule Based Engine) for the .NET platform, composed of a forward-chaining inference engine and an XML-driven flow control engine. It supports RuleML 0.9 Naf Datalog and Visio 2003 modeling.

NxNet is an implementation of a BPN neural network written in C#. NxNet allows the user to configure the neural net, train and query the trained net. NxNet 2.0 introduces a batch query capability. Requires .Net Framework 2.0 be installed also.