Microsoft's agentic AI workshop: less slide deck, more terraform
A hands-on repo for building multi-agent systems with the Microsoft Agent Framework, complete with fraud-detection workflows, MCP security, and enough infrastructure-as-code to make a platform engineer nod approvingly.

What it does This is Microsoft’s official workshop repository for building agent-based AI solutions on Azure. It bundles code samples, architecture patterns, and deployment templates for single-agent and multi-agent systems using the Microsoft Agent Framework, with React/Streamlit frontends and CosmosDB-backed state persistence.
The interesting bit The repo doesn’t just demo chatbots—it ships a full “fraud detection” workflow with durable tasks, fan-out/fan-in orchestration, and human-in-the-loop checkpoints. There’s also a complete observability stack with Application Insights tracing and pre-built Grafana dashboards, which is rarer than it should be in workshop materials.
Key highlights
- Three agent patterns: single-agent, Magentic orchestration, and handoff-based domain routing with MCP tools
- Hybrid Workflow + Durable Task architecture with real-time observability
- Enterprise deployment templates via Terraform/Bicep with VNet, private endpoints, and managed identity
- CI/CD pipeline with per-developer environments, OIDC auth, and agent evaluation gates
- MCP server integration with RBAC and APIM for multi-tenant security
Caveats
- The README is heavy on feature lists and light on actual code snippets—you’ll need to dig into subdirectories for implementation details
- 885 stars suggests limited community traction relative to Microsoft’s marketing reach; unclear how actively maintained beyond workshop cycles
Verdict Worth bookmarking if you’re building production agent systems on Azure and want reference architecture with real infrastructure patterns. Skip if you’re looking for framework-agnostic education or quick local prototyping without Azure lock-in.