elbruno

elbruno / openclawnet

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🐾 OpenClawNet — Build an AI Agent Platform in .NET 10 (Reactor live series materials)

ai-agents aspire azure-openai blazor dotnet
16
4
100% credibility
Found Apr 15, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Repository providing materials and code for a Microsoft Reactor live series on building an incremental AI agent platform using .NET 10, Blazor, and GitHub Copilot.

How It Works

1
📺 Discover the Live Series

You find an exciting free online workshop series about building your own smart AI helper using simple everyday tools.

2
📝 Sign Up for Sessions

You register for the live sessions in English or Spanish to follow along step by step as the AI grows smarter each time.

3
Choose Your Language Path
🇺🇸
English Sessions

Join the English workshops to build your AI helper together live.

🇪🇸
Spanish Sessions

Join the Spanish workshops to build your AI helper together live.

4
📥 Grab the Project Files

You download the ready-to-use files that update after each session with new features.

5
🛠️ Set Up Your Computer

You install a few free helper programs so everything runs smoothly on your machine.

6
💬 Build Your First Chat Buddy

In the first session, you launch a friendly chat window where your AI responds right away, feeling magical as it streams thoughts live.

7
🧠 Add Smarts and Abilities

Over the next sessions, you give your AI tools to handle files, web searches, schedules, memory, and even a personality.

🎉 Your AI Agent is Ready!

By the end, you have a complete smart helper platform that works locally or in the cloud, ready for your own ideas.

Sign up to see the full architecture

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AI-Generated Review

What is openclawnet?

OpenClawNet lets .NET developers build a full AI agent platform incrementally through Microsoft Reactor live series materials. It starts with a real-time Blazor chatbot using local LLMs like Ollama or Foundry, then layers on tools for file access, web calls, and scheduling, plus skills, memory via semantic search, and cloud providers like Azure OpenAI—all orchestrated with Aspire and SignalR streaming. You get working demos after each session, evolving from basic chat to production-ready automation.

Why is it gaining traction?

It stands out by tying hands-on code to live Reactor sessions, where you follow along with GitHub Copilot for quick extensions, making AI agent development approachable in .NET 10 without starting from scratch. Developers dig the modular progression—chatbot one week, agent loops and security the next—plus bilingual English/Spanish tracks and community Discord support.

Who should use this?

.NET backend devs dipping into AI agents for internal tools, like automating workflows with shell commands or scheduled jobs. Blazor enthusiasts building real-time UIs for LLM interactions, or teams prototyping local-to-cloud LLM switches before full deployment.

Verdict

Skip for production now—1.0% credibility score and 16 stars reflect its early stage, with actual code promised post-sessions and thin current docs. Worth watching if you're in .NET and want structured Reactor materials to build agent platforms hands-on.

(178 words)

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