Search Results for "ai agents"
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Showing 47 open source projects for "ai agents"
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Unity ML-Agents Toolkit
Unity machine learning agents toolkit
...Using ML-Agents allows developers to create more compelling gameplay and an enhanced game experience. Advancement of artificial intelligence (AI) research depends on figuring out tough problems in existing environments using current benchmarks for training AI models. Using Unity and the ML-Agents toolkit, you can create AI environments that are physically, visually, and cognitively rich. -
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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined and executed in parallel or sequential flows. ... -
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MiniMax Skills
Development skills for AI coding agents
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. ... -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
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. ... -
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Unity MCP
AI-powered bridge connecting LLMs and advanced AI agents
Unity-MCP is an open-source integration that connects artificial intelligence assistants with the Unity game development environment through the Model Context Protocol. The project enables AI tools such as coding assistants and autonomous agents to interact directly with Unity projects, allowing them to analyze scenes, modify assets, and generate code within the development environment. By exposing Unity editor functionality through MCP tools, the plugin allows external AI systems to understand the structure of a game project and manipulate it programmatically. ... -
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Semantic Kernel
Integrate cutting-edge LLM technology quickly and easily into your app
Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C# and Python. By doing so, you can create AI apps that combine the best of both worlds. To help developers build their own Copilot experiences on top of AI plugins, we have released Semantic Kernel, a lightweight open-source SDK that allows you to orchestrate AI plugins. With Semantic Kernel, you can leverage the same AI... -
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BotSharp
AI Multi-Agent Framework in .NET
Conversation as a platform (CaaP) is the future, so it's perfect that we're already offering the whole toolkits to our .NET developers using the BotSharp AI BOT Platform Builder to build a CaaP. It opens up as much learning power as possible for your own robots and precisely control every step of the AI processing pipeline. BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio... -
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LangChain for .NET
C# implementation of LangChain
...It also provides both low-level async APIs and higher-level chain abstractions, giving developers flexibility in how they structure their applications. With built-in support for retrieval-augmented generation and structured pipelines, LangChain .NET is designed for production-ready AI systems. -
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WumpusWorld-CSharp
A Wumpus World in c# and prolog with a GUI
Wumpus World Game is based on knowledgebase agents and is described in the book , Artificial Intelligence : A Modern Approach (Russel - Norvig). This is an implementation of Wumpus World (a Knowledgebase agent game) using csharp alongside prolog with a GUI. C# has the main environment of the game and the GUI The GUI was created using WPF , Windows Presentation Foundation Prolog is used as the knowledgebase of the agent of Wumpus World In order for C# to communicate with Prolog a... -
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Thalamus is a framework for creating modular interactive characters. Its goal is to make it possible to create interactive characters out of a set of different independent modules, each of which has a designated role in the behavior of the character. Unlike most the other interactive character frameworks, there is no specific module to act as the Mind, neither as the Body. It supports and is largely based on the architecture of SAIBA/BML. Acknowledgements: GAIPS/INESC-ID: (Intelligent...
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Game of Giants - 2 player AI
2 Player (Bot or Human) AI Gaming
Game of the Giants is a two-player board game which is played on a 10x10 grid of cells. Each player has four giants having initial configuration as shown in starting stage. A move consists of two subsequent actions: 1. One moves one of one's own giant one or more empty squares in a straight line (orthogonally), exactly as rook moves in chess, it may not cross or enter a square occupied by a giant or an arrow. 2. After moving, the giant shoots an arrow from its landing square to another... -
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aCompute
Aims to enable researcher to tap in to mobile computing capability
This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to... -
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dotRL
A platform for rapid Reinforcement Learning methods development
Application allowing convenient experimentation in Reinforcement Learning - a Machine Learning domain. Project goals are: - keep adding new environments and agents as simple as possible - provide a rich set of state-of-art algorithms and problems - integrate with other existing Reinforcement Learning platforms If you found this application useful please cite this work: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6643987 -
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CHP: C# HTN-Planner
A simple HTN-planner written in C#
C# HTN-Planner (CHP), a simple HTN-Planner written in C#. A domain-independent automated planning system based on ordered task decomposition, similar to SHOP2. It includes a Microsoft Visual Studio project (CHP) and a Unity3D project (CUHP), both with some examples. It is inspired by Dana Nau's Pyhop implementation and the book Automated Planning: Theory and Practice by Malik Ghallab et al. -
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
...As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer, you are able to create different types of decision trees, random forests, n-grams, pattern-matchers, conversational agents and all sorts of AI related algorithms. You can combine statistical approaches as well as pattern matchers or others. Do natural language processing, image or data analysis & interpretation,... -
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HoldemAI
Texas Holdem Poker AI
Full ring Texas Hold'em poker game built around an intelligent AI system. The AI uses players' betting actions to calculate a probability distribution of their hole cards and uses it to evaluate hand strength and the best possible action. Small random changes are made to mimic human behavior and make the AI less predictable. Future versions will include adaptive opponent modeling using neural networks to improve the AI's strength. The AI code can be easily adapted for input from screen scrapers. -
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Open Exchange (OpEx)
The open source Algorithmic Trading System
OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures. -
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IM Sarah
Personal desktop assistant at your service, master. ;)
Sarah is your personal desktop assistant. She can browse the web, alert you to incoming emails, chat and so much more. -
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Created by Conversive, the Verbot (Verbally Enhanced Software Robot) is based on more than 10 years of AI experience and development. Using XML and .NET architecture, the Verbots SDK allows you to create engaging interactive personalities.
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Library for creation of artificial neural networks in C#. Library supports Hopfield nets, Kohonen nets, feedforward networks, several learning techniques (differential evolution, back propagation, quick propagation, resilient propagation etc.)
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This is the Baker College, intern-developed application for running bots as avatars in Second Life, OpenSim, etc. It relies on Program# for AIML processing and libOpenMetaverse for the SL browser functionality.
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Graph Process Platform implements and automates any graph-based process for example a manufacturing process, trading system or business process workflow.
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Intelligent Facial Animation software for .NET
