Mastra vs Semantic Kernel
Side-by-side comparison of two AI agent tools
Short answer
- Mastra is growing faster: +968 GitHub stars in the last 30 days vs +165 for Semantic Kernel.
- Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick Semantic Kernel for: integrate cutting-edge LLM technology quickly and easily into your apps.
From GitHub data refreshed daily.
Mastrafree
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
Semantic Kernelopen-source
Integrate cutting-edge LLM technology quickly and easily into your apps
Metrics
| Mastra | Semantic Kernel | |
|---|---|---|
| Stars | 28.5k | 28.6k |
| Star velocity /mo | 968.3684210526316 | 165 |
| Commits (90d) | 4.1k | 59 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 3.1M | 287.7K |
| Overall score | 0.8983723604743185 | 0.661646916269183 |
Pros
- +统一的多提供商接口支持 40+ AI 模型提供商，避免供应商锁定
- +完整的 AI 应用工具链包括代理、工作流、人机交互和上下文管理
- +TypeScript 原生支持和现代技术栈集成，开发体验优秀
- +Model-agnostic design supports multiple LLM providers including OpenAI, Azure OpenAI, Hugging Face, and local models
- +Enterprise-ready with built-in observability, security features, and stable APIs for production deployments
- +Multi-language support (Python, .NET, Java) with comprehensive agent orchestration and multi-agent system capabilities
Cons
- -作为相对较新的框架，生态系统和社区资源可能有限
- -多功能集成可能带来学习曲线，需要时间掌握各个组件
- -文档和最佳实践可能还在完善中，缺少大规模生产案例
- -Requires significant programming knowledge and understanding of AI agent concepts
- -Complex setup and configuration for advanced multi-agent workflows
- -Learning curve for mastering the framework's extensive feature set and architectural patterns
Use Cases
- •构建需要多个 AI 模型协作的复杂智能代理系统
- •开发需要人机交互审批流程的自动化工作流应用
- •快速原型验证 AI 产品概念并扩展到生产环境
- •Building enterprise chatbots and conversational AI applications with reliable LLM integration
- •Creating complex multi-agent systems where specialized AI agents collaborate on business processes
- •Developing AI applications that need flexibility to switch between different LLM providers and deployment environments
FAQ
- Which is more popular, Mastra or Semantic Kernel?
- Semantic Kernel has more GitHub stars (28,620 vs 28,525).
- Which is more actively developed, Mastra or Semantic Kernel?
- Mastra had more commits in the last 90 days (4,109 vs 59).
- Should I use Mastra or Semantic Kernel?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.