calculator
Windows Calculator: A simple yet powerful calculator that ships with Windows
HYSEN LABS 项目目录
来自 microsoft 组织的可信仓库、分类与深度解析。
Windows Calculator: A simple yet powerful calculator that ships with Windows
语义内核将应用程序代码与语言模型、提示、工具、内存和代理工作流程连接起来。
用于开发 TypeScript 本机端口的临时存储库。预览 预览版本可在 npm 上以 @typescript/native-preview 形式获得。
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
ONNX Runtime:跨平台、高性能机器学习推理和训练加速器
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
The absolute trainer to light up AI agents.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
SkillOpt 是一个文本空间优化器,通过轨迹驱动的编辑、验证门控更新和可部署的 best_skill.md 工件,为冻结的 LLM 代理训练可重用的自然语言技能。
初级、高级、专家级 Rust 培训材料。 Microsoft 商标或徽标的授权使用须遵守且必须遵循 Microsoft 的商标和品牌指南。
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
The Microsoft community Windows Package Manager manifest repository
MagenticLite is an experimental agent that works across the browser and local file system
UFO³: Weaving the Digital Agent Galaxy
TypeChat is a library that makes it easy to build natural language interfaces using types.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!