# Semantic Kernel vs traceAI — Fit & Features

Canonical: https://trutool.co/compare/semantic-kernel-vs-traceai
Author: Snehil (https://trutool.co/authors/snehil)

Compare Semantic Kernel and traceAI by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### Semantic Kernel
Microsoft SDK for integrating AI models, functions, and agents into applications.
Best fit: Developers building and evaluating custom agents.
- Microsoft SDK for integrating AI models, functions, and agents into applications
Before you choose: Check licensing, maintenance status, supported providers, and hosting or inference costs.
Pricing: https://learn.microsoft.com/en-us/semantic-kernel/overview/
- [Read Semantic Kernel profile](https://trutool.co/tools/semantic-kernel): Read Semantic Kernel profile

### traceAI
Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks.
Best fit: People and teams evaluating ai agent frameworks for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read traceAI profile](https://trutool.co/tools/traceai): Read traceAI profile
