Semantic Kernel Copilot Demo

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The Semantic Kernel Copilot Demo is a .NET-based showcase application that guides developers through orchestrating AI workflows using Microsoft’s Semantic Kernel. It integrates LLM prompt chaining, memory storage, and skill plugins to create a customizable Copilot capable of managing tasks like calendar queries, email drafting, data lookup, and external API calls. This hands-on demo accelerates prototyping of intelligent agent functionalities with extensible architecture.
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May 01 2025
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Semantic Kernel Copilot Demo

Semantic Kernel Copilot Demo

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Semantic Kernel Copilot Demo
The Semantic Kernel Copilot Demo is a .NET-based showcase application that guides developers through orchestrating AI workflows using Microsoft’s Semantic Kernel. It integrates LLM prompt chaining, memory storage, and skill plugins to create a customizable Copilot capable of managing tasks like calendar queries, email drafting, data lookup, and external API calls. This hands-on demo accelerates prototyping of intelligent agent functionalities with extensible architecture.
Added on:
Social & Email:
Platform:
May 01 2025
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What is Semantic Kernel Copilot Demo?

Semantic Kernel Copilot Demo is an end-to-end reference application illustrating how to build advanced AI agents with Microsoft’s Semantic Kernel framework. The demo features prompt chaining for multi-step reasoning, memory management to recall context across sessions, and a plugin-based skill architecture enabling integration with external APIs or services. Developers can configure connectors for Azure OpenAI or OpenAI models, define custom prompt templates, and implement domain-specific skills such as calendar access, file operations, or data retrieval. The sample shows how to orchestrate these components to create a conversational Copilot capable of understanding user intents, executing tasks, and maintaining context over time, fostering rapid development of personalized AI assistants.

Who will use Semantic Kernel Copilot Demo?

  • Software developers
  • AI researchers
  • Technical product managers
  • Educational trainers
  • AI enthusiasts

How to use the Semantic Kernel Copilot Demo?

  • Step1: Clone the GitHub repository from https://github.com/bbence84/semantic_kernel_copilot_demo
  • Step2: Install .NET 6.0 SDK or later
  • Step3: Set environment variables for OPENAI_API_KEY or AZURE_OPENAI settings
  • Step4: Restore NuGet packages and build the solution
  • Step5: Configure skills and prompt templates in appsettings.json
  • Step6: Run the console or web application and interact with the Copilot
  • Step7: Extend or customize skills by editing Skill classes and templates

Platform

  • mac
  • windows
  • linux

Semantic Kernel Copilot Demo's Core Features & Benefits

The Core Features

  • LLM Prompt Chaining
  • Contextual Memory Storage
  • Plugin-based Skill Architecture
  • Azure or OpenAI Model Integration
  • Custom Prompt Template Management
  • Conversational Task Orchestration

The Benefits

  • Rapid AI agent prototyping
  • Modular and extensible design
  • Reusable skill components
  • Cross-platform .NET support
  • Simplified LLM integrations

Semantic Kernel Copilot Demo's Main Use Cases & Applications

  • Develop custom conversational assistants for business workflows
  • Prototype AI-driven task automation for email, calendar, data lookup
  • Educational demos for learning prompt orchestration
  • Integration of LLMs with external APIs via plugin skills

FAQs of Semantic Kernel Copilot Demo

Semantic Kernel Copilot Demo Company Information

Semantic Kernel Copilot Demo Reviews

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Semantic Kernel Copilot Demo's Main Competitors and alternatives?

  • Microsoft Bot Framework
  • LangChain
  • LlamaIndex
  • Rasa

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