KardelRuveyda

Multi-agent e-commerce operations center built with Microsoft Agent Framework v1.0 + Foundry on .NET 10. Fraud detection, inventory, fulfillment, and customer comms — all in C#.

10
2
100% credibility
Found May 07, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C#
AI Summary

A console demo illustrating how AI agents collaborate to process e-commerce orders via fraud detection, inventory checks, fulfillment optimization, and customer notifications.

How It Works

1
đź›’ Discover the demo

You find this fun e-commerce demo that shows AI helpers working as a team to handle online orders.

2
📥 Get it on your computer

Download the files and open them in a simple program runner on your Windows or Mac.

3
đź”— Link your AI service

Sign into your cloud account to connect the smart thinking power needed for the AI team.

4
▶️ Launch the operations center

Click run and watch a colorful screen light up with your new AI command center ready to go.

5
đź“‹ Pick your test order

Use arrow keys to choose a sample order from the menu, like a big laptop buy or a suspicious GPU haul.

6
🤖 Watch the AI team in action

The fraud checker, stock finder, ship planner, and email writer team up step by step, showing checks and decisions right on screen.

🎉 Celebrate smart results

You see the full report: orders approved or blocked, shipments planned, emails drafted—proving AI can run a real shop smoothly.

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Star Growth

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AI-Generated Review

What is foundry-commerce-demo?

This C# demo builds a multi-agent e-commerce operations center using Microsoft Agent Framework v1.0 and Foundry on .NET 10, processing orders through fraud detection, inventory checks, fulfillment planning, and customer comms. Run `dotnet run` locally to watch agents handle demo orders—like blocking fraud via geo and velocity checks or optimizing split shipments across warehouses—via an interactive console menu. It solves the pain of siloed e-commerce ops by chaining agents that call real C# tools for accurate business logic, keeping AI focused on decisions.

Why is it gaining traction?

Unlike basic multi agent chat github prototypes, this stands out with agent-as-tool chaining (e.g., fulfillment invoking inventory) and hallucination-free math via C# functions, plus local Ollama support for offline runs. Devs dig the polished console UI, timing breakdowns, and clear paths to Azure deploys like Container Apps—ideal for multi agent framework github experiments without cloud setup. It's a practical hook for multi agent orchestration github copilot-style workflows in enterprise settings.

Who should use this?

.NET backend devs prototyping agentic e-commerce pipelines, like fraud detection or multi agent personalized recommendation systems in e-commerce based on user data. Demo presenters at conferences needing a runnable multi agent github project for talks, or teams evaluating Microsoft Foundry for customer comms and inventory agents. Skip if you're not in C# or need prod-scale persistence out of the box.

Verdict

Grab it for learning multi-agent C# demos—docs are conference-grade with arch diagrams and az login guides, despite 10 stars and 1.0% credibility score signaling early maturity. Not prod-ready (in-memory state), but fork and deploy to Container Apps for real use.

(198 words)

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