Status basis: pypi_downloads_30d momentum fell to 0 per 3d from 13051 (<= 40% of the prior window)
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 13051 (<= 40% of the prior window)
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 13051 (<= 40% of the prior window)
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 13051 (<= 40% of the prior window)
- Accelerating pypi_downloads_30d gained 13051 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 13051 in the last 3d
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 13051 (<= 40% of the prior window)
- Accelerating pypi_downloads_30d gained 13051 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 13051 in the last 3d
- Accelerating pypi_downloads_30d gained 13051 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 13051 in the last 3d
- Accelerating pypi_downloads_30d gained 13051 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 13051 in the last 3d
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | — | unknown | — |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It packages LLM functionality into a modular, developer-friendly framework, significantly lowering the barrier to building AI-powered .NET applications.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
FAQ
What is semantic-kernel?
Semantic Kernel is a .NET library that enables developers to integrate large language models into applications with task orchestration, tool calling, and context management.
What does semantic-kernel do?
Help .NET developers embed LLM capabilities into apps for automated code generation, task execution, and intelligent interactions.
Why does semantic-kernel matter?
It packages LLM functionality into a modular, developer-friendly framework, significantly lowering the barrier to building AI-powered .NET applications.
Is semantic-kernel open source?
Yes — semantic-kernel is open source.
How popular is semantic-kernel?
As tracked by KanonAgent: 8 upvotes (first indexed 2026-07-28).
What are the best semantic-kernel alternatives?
Similar AI agents tracked by KanonAgent: deepseek-harness, gemini-cli, Codédex, LLM Gateway, oh-my-openagent, goose.