Semantic Kernel
Microsoft's model-agnostic SDK for AI agents in C#, Python and Java, now succeeded by Microsoft Agent Framework.
Sources and review
Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.
Maintaining existing Semantic Kernel applications in .NET, Python or Java.
You're starting a new project; Microsoft directs new work to Microsoft Agent Framework.
About Semantic Kernel
Semantic Kernel is Microsoft's model-agnostic SDK for building AI agents and multi-agent systems in C#, Python and Java. Microsoft now presents Microsoft Agent Framework 1.0 as its enterprise-ready successor, with stable APIs, long-term support and interoperability through A2A and MCP, and publishes a migration guide.
Semantic Kernel is listed in this index written primarily in C#, with 29k stars on GitHub. Its latest recorded repository push was in November 2026; that is not an ASE editorial review date.
pip install semantic-kernelSemantic Kernel and related category tools
Alternatives guide →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| Semantic Kernelthis listing | 29k | C# | MIT | Costs not checked |
| agent-framework | 14k | Python | MIT | Costs not checked |
| OpenAI Agents SDK (Python) | 30k | Python | MIT | Costs not checked |
| OpenAI Agents SDK (TypeScript) | 4.0k | TypeScript | MIT | Costs not checked |
| txtai | 13k | Python | Apache-2.0 | Costs not checked |
| Koog | 4.6k | Kotlin | Apache-2.0 | Costs not checked |
