Microsoft

Copilot Cowork vResearch Preview

Copilot Cowork is an advanced feature within Microsoft 365 Copilot, developed in collaboration with Anthropic, designed to handle long-running, multi-step tasks across Microsoft 365 applications. It enables users to delegate complex workflows to Copilot, which manages and executes them over time, providing continuous progress updates and allowing for user guidance or intervention as needed.

OptiMind-SFT v4

OptiMind-SFT is a specialized 20-billion parameter model developed by Microsoft Research's Machine Learning and Optimization (MLO) Group. It automates the translation of complex decision-making problems, such as supply chain planning and resource allocation, into correct Mixed-Integer Linear Programming (MILP) formulations.

MAI-Cyber-1-Flash v1

MAI-Cyber-1-Flash is a specialized, compact AI model designed for cyber defense and vulnerability management. It is deeply integrated into MDASH, Microsoft's multi-agent vulnerability identification and remediation harness, to provide efficient, high-performance security protection.

Microsoft Agent Governance Toolkit v1.0

Microsoft released a critical set of 7 open-source packages on GitHub and PyPI designed to ensure autonomous agents follow security protocols. The toolkit includes a sub-millisecond policy engine and cryptographic agent identities, giving enterprises the tools to govern, audit, and secure AI agents operating in production environments.

winapp CLI v0.5.0

The Windows App Development CLI (winapp CLI) is a unified command-line interface designed to streamline the development of Windows applications. It simplifies complex tasks such as managing Windows SDKs, handling MSIX packaging, generating app identity, and configuring manifests and certificates for various app frameworks.

Azure Skills v1.2.5

The Azure Skills Plugin is an integrated capability layer for AI coding assistants that bundles curated Azure expertise with MCP-backed execution. It enables agents to move beyond generic cloud advice by providing structured workflows, decision trees, and direct access to over 200 Azure service tools.

Microsoft MAI Models

Microsoft AI Frontiers has launched three new world-class in-house AI models: MAI-Transcribe-1 (speech-to-text), MAI-Voice-1 (voice synthesis), and MAI-Image-2 (image generation). Built by Mustafa Suleyman's superintelligence team, all three models are now available via Microsoft Azure AI Foundry, offering world-class quality at competitive speeds and pricing independent of OpenAI.

Agent Framework Go vPublic Preview

Microsoft Agent Framework for Go is an open-source SDK that enables developers to build, orchestrate, and deploy production-grade AI agents and multi-agent workflows using the Go programming language. It provides a consistent foundation for agent development, offering support for various LLM providers, tool-calling, middleware, and observability features tailored for cloud-native applications.

TypeScript 7.0 v7.0

TypeScript 7.0 is a high-performance native port of the TypeScript compiler written in Go, designed to deliver up to 10x faster build and type-checking performance. By leveraging modern hardware through shared-memory multithreading and parallelization, it maintains strict compatibility with the original TypeScript logic while significantly reducing latency in development workflows.

MAI-Transcribe-1.5 v1.5

MAI-Transcribe-1.5 is Microsoft's advanced speech-to-text model, delivering high-accuracy transcription across 43 languages, including English, French, Arabic, Japanese, and Chinese. It excels in challenging audio conditions, providing precise, domain-specific transcripts suitable for captions, call analysis, accessibility, and content workflows. The model supports entity biasing, enhancing recognition of industry-specific terminology, proper names, and other domain-specific terms, making it adaptable to various industries and applications.

dynwinrt v0.1.0-preview.18

dynwinrt is a dynamic Windows Runtime (WinRT) API projection for Node.js and Electron that allows developers to call native Windows APIs directly from JavaScript or TypeScript. It eliminates the need for writing native C++ addons or complex build steps by reading .winmd metadata and invoking COM vtables at runtime via libffi.

MAI-Code-1.1-Flash v1.1 Flash

MAI-Code-1.1-Flash is a lightweight, agentic coding model designed to provide high-quality code generation with superior efficiency. It is specifically optimized for GitHub Copilot and VS Code, offering faster token streaming and reduced operational costs for engineering teams.

VibeVoice-ASR

VibeVoice-ASR is a unified speech-to-text model developed by Microsoft Research, designed to process up to 60 minutes of continuous audio in a single pass. It generates structured transcriptions that include speaker identification, timestamps, and content, with support for customized hotwords to enhance accuracy in domain-specific contexts.

MAI-Thinking-1 v1

MAI-Thinking-1 is Microsoft's flagship reasoning model, designed for complex problem-solving with competitive reasoning capabilities and top SWE-Bench Pro results at a mid-weight price. Built from scratch for serious math, coding, and real-world enterprise deployment, it stands among the strongest in its class.

MAI-Voice-2 v2

MAI-Voice-2 is Microsoft's advanced text-to-speech model that converts text into expressive, natural-sounding speech across 15 languages. It offers realistic expression, instant voice matching, and is designed for long-form content like audiobooks and podcasts.

MAI-Image-2.5 v2.5

MAI-Image-2.5 is Microsoft's latest AI image generation model, designed to create high-quality, photorealistic images from text or photo prompts. It offers precise control over edits, making it suitable for both casual and professional use. The model excels in text rendering, stylized illustration, and commercial imagery, and is integrated into Microsoft products like PowerPoint and OneDrive for Foundry users.

MAI-Code-1-Flash v1.0

MAI-Code-1-Flash is a lightweight, agentic coding model developed by Microsoft to enhance developer productivity. Integrated into GitHub Copilot and Visual Studio Code, it assists in writing better code faster by providing efficient, real-time support for complex coding tasks.