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microsoft/semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

Healthy

Strong maintenance signals

MixedDependency

dependency CVE scan unavailable

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

Scorecard "Branch-Protection" is 0/10; dependency CVE scan unavailable

  • ⚠Scorecard: default branch unprotected (0/10)
  • ✓Last commit today
  • ✓17 active contributors
  • ✓Distributed ownership (top contributor 38% of recent commits)
  • ✓MIT licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

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Repository brief

Repo brief: microsoft/semantic-kernel

Generated by RepoPilot · document generated 2026-09-14 · concise human review Evidence snapshot · analyzed 2026-09-14T21:55:29.248Z · commit 3438d882147b

Verdict

Healthy — Strong maintenance signals

  • Last commit today
  • 17 active contributors
  • Distributed ownership (top contributor 38% of recent commits)
  • MIT licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard

What it is

Semantic Kernel is a model-agnostic SDK for building, orchestrating, and deploying AI agents and multi-agent systems. It provides enterprise-grade abstractions over LLMs (OpenAI, Azure OpenAI, Hugging Face, NVidia, etc.) enabling developers to integrate cutting-edge language model capabilities into applications via a unified plugin/function-calling architecture. Core capability: compose AI workflows with access to tools, memory, vector databases, and multi-agent coordination. Multi-root monorepo structure: dotnet/ contains C# implementation with src/Agents/ (A2A agent orchestration), nuget/ (package definitions), and notebooks/ (Jupyter examples); separate language implementations…

Start here

Open these first:

  • dotnet/src/Agents/Abstractions/Agent.cs — Core abstract agent interface that defines the contract for all agent implementations in the framework.
  • dotnet/src/Agents/Abstractions/AgentChannel.cs — Primary abstraction for agent communication channels, essential for multi-agent orchestration patterns.
  • dotnet/src/Agents/Abstractions/AgentThread.cs — Thread management abstraction handling agent conversation state and lifecycle.
  • dotnet/src/Agents/AzureAI/AzureAIAgent.cs — Production Azure AI agent implementation demonstrating the primary concrete agent pattern.
  • dotnet/Directory.Build.props — Shared MSBuild properties controlling build configuration across all .NET projects in the solution.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone: git clone https://github.com/microsoft/semantic-kernel.git. For .NET: cd dotnet && dotnet build or use dotnet/build.sh (Linux/macOS) / dotnet/build.cmd (Windows). For Python: install via pip (PyPI package…

Daily commands:

.NET: dotnet build dotnet/SK-dotnet.slnx then run test/sample project (exact command depends on target). PowerShell utilities available: dotnet/format.ps1 (code style), dotnet/code-coverage.ps1 (metrics). Notebook…

…shortened for this brief.

Key cautions & unknowns

  • Scorecard: default branch unprotected (0/10)
  • API key requirement: notebooks and agent execution require OpenAI/Azure credentials in config/settings.json (see settings.json.openai-example); missing keys will fail silently in many calls. **Multi-language…
  • Published-advisory coverage was unavailable for the captured dependencies.
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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