microsoft-agent-framework

Create Python and C# agents with graph-based workflows and tool integration.

2|22|Updated Oct 9, 2025
One-click install
npx skills add https://github.com/rysweet/azlin --skill microsoft-agent-framework
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: microsoft-agent-framework
Source: https://github.com/rysweet/azlin/tree/main/.claude/skills/microsoft-agent-framework
Command: npx skills add https://github.com/rysweet/azlin --skill microsoft-agent-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides knowledge about Microsoft Agent Framework, its graph-based workflows, stateful agents, and enterprise features.

Core Features & Use Cases

  • Agent creation, tools, and workflows
  • Telemetry, middleware, and MCP integration
  • Cross-language examples (Python and C#)

Quick Start

Claude, summarize how to create a Python Agent with a tool and a simple workflow.

Frequently Asked Questions about microsoft-agent-framework

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a production-grade multi-agent workflow with graph-based orchestration?

Microsoft Agent Framework enables production-grade multi-agent workflows through graph-based orchestration, allowing you to define agent interactions, tool integration, and stateful conversations. It supports Python and C# environments with type-safe tool interfaces and persistent threads for enterprise deployments.

Can I integrate tools and middleware observability into my agent framework?

Yes. Microsoft Agent Framework provides built-in telemetry and middleware support, enabling you to instrument agents with observability, integrate custom tools via type-safe interfaces, and monitor workflows across Python and C# applications.

Does Microsoft Agent Framework support stateful conversations and MCP integration?

Yes. The framework maintains stateful conversations using persistent threads and integrates with Model Context Protocol (MCP), allowing agents to preserve context across interactions and connect to external systems and data sources.

How do I optimize token usage when building agents with progressive content tiers?

Microsoft Agent Framework supports progressive content tiers to optimize token consumption, enabling you to control information delivery granularity and reduce overhead in multi-agent workflows without sacrificing functionality.

What's the difference between graph-based agent orchestration and traditional workflow patterns?

Graph-based orchestration structures agent interactions as explicit node-and-edge workflows, providing clearer control flow, better observability, and native support for parallel execution and conditional branching compared to linear or callback-based patterns.

Do I need strong typing for tools when using Microsoft Agent Framework?

Type-safe tool interfaces are built into Microsoft Agent Framework using Pydantic models in Python or strong typing in C#. This ensures contract validation, IDE support, and runtime safety across agent-to-tool communication.