Semantic Kernel
microsoft/semantic-kernel
Microsoft’s enterprise-oriented agent/LLM app framework (.NET/Python). GitHub: microsoft/semantic-kernel (~28k stars).
GitHub repository
Overview
Semantic Kernel (microsoft/semantic-kernel) is listed in LimeDock Directories as an AI agent resource. Microsoft’s enterprise-oriented agent/LLM app framework (.NET/Python). Group: multi-agent. Community size: ~28k GitHub stars. Repo (copy/paste): https://github.com/microsoft/semantic-kernel This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
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Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/microsoft/semantic-kernel GitHub path: microsoft/semantic-kernel
How to open it: 1. Copy: https://github.com/microsoft/semantic-kernel 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** You’re in a Microsoft stack and want a first-party agent framework.
1. Install Semantic Kernel for your language. 2. Create a plugin/tool. 3. Build a thin agent API with enterprise auth.
Example prompts
- “Create a Semantic Kernel plugin for our CRM lookup.”
- “SK vs AutoGen for enterprise .NET?”
- “Prompt + plan patterns in SK.”
Use cases and examples
- Evaluate microsoft/semantic-kernel as an AI agent building block
- Pilot Semantic Kernel on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- .NET or Python
- Azure/OpenAI access common
Tips
- Enterprise auth/identity early.
- Keep plugins small and tested.