# microsoft

Microsoft’s open-source toolkit for adding policy enforcement, identity, sandboxing, and audit controls to production AI agents.

Agent Governance Toolkit is an open-source Microsoft project for teams moving AI agents from demos into controlled production workflows. It focuses on runtime policy enforcement, zero-trust identity, sandboxed execution, and reliability patterns around autonomous agents, giving security and platform teams a governance layer around tool calls and agent actions rather than another prompt-only guardrail.

Human-in-the-loop web agent you can co-pilot in real time

Magentic-UI is a Microsoft Research web agent with a human-in-the-loop interface for browsing, coding, and file tasks. It plans multi-step actions, asks for approval before executing, and lets users co-pilot by taking over the browser mid-task. Built on AutoGen, it runs a team of specialized agents for web browsing, file handling, and code execution with full action transparency and safety guardrails.

Constrained generation that guarantees valid LLM outputs every time

Guidance is Microsoft's structured generation library that enforces output constraints directly within LLM decoding. It supports JSON schemas, regex patterns, grammars, and interleaved generation-and-control flow to guarantee valid outputs from any compatible model. Works with local models via llama.cpp, Transformers, and remote APIs including OpenAI and Anthropic. Eliminates retry loops and post-processing for structured data extraction.