$ show microsoft/ai-agents-for-beginners
This repository is a comprehensive educational course titled 'AI Agents for Beginners', structured as a collection of Jupyter notebooks and code samples. It functions primarily as an ML notebook collection and tutorial suite rather than a deployable application or library. The content focuses on teaching the Microsoft Agent Framework (MAF) and Azure AI ecosystem, covering topics from basic agent concepts to advanced protocols like MCP and A2A. The codebase is organized into 18 lessons, each containing Python and .NET code samples, documentation, and images. It relies heavily on external cloud services (Azure AI Foundry, Azure OpenAI) and rapidly evolving AI standards, making it a high-quality learning resource but one with significant dependency volatility.
The LLM identified 3 files worth highlighting for reuse:
A reusable script for generating cryptographic receipt fixtures (valid, tampered, chained) using Ed25519 signatures and JCS. This component demonstrates a non-trivial security pattern for verifying agent action integrity and can be extracted for audit trail testing in other agent projects.
Implements a Model Context Protocol (MCP) client with resumable session support. It demonstrates how to connect to MCP servers, manage tokens, and handle persistent event stores for long-running agent sessions. This is a reusable pattern for integrating agents with external tool servers.
Demonstrates the WorkflowBuilder pattern for orchestrating multi-agent tasks (sequential, concurrent, conditional). It shows how to define executors, edges, and checkpoints for complex agent workflows, providing a reusable template for agent orchestration logic.