semantic-kernel vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| semantic-kernel | ollama | |
|---|---|---|
| Tagline | Build intelligent AI agents and multi-agent systems with this enterprise-ready orchestration framework | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 28k | 176k |
| Forks | 4.7k | 17k |
| Open issues | 261 | 3.4k |
| Language | C# | Go |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents | AI Agents, LLM Frameworks |
semantic-kernel
Semantic Kernel is a model-agnostic SDK for building, orchestrating, and deploying AI agents and multi-agent systems. It supports multiple language platforms including Python, .NET, and Java.
C#
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go