Mastra vs Semantic Kernel: Agent Frameworks Comparison
Compare Mastra and Semantic Kernel side by side. Both are tools in the Agent Frameworks category.
Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Open Source | Open Source |
| Best For | TypeScript developers who want a modern framework for building production AI agents | Enterprise .NET developers building AI applications on Microsoft infrastructure |
| Website | mastra.ai | learn.microsoft.com |
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When to Choose Mastra vs Semantic Kernel
- TypeScript-native agent development
- Building AI workflows with tool use
- Agent state management
- Enterprise AI on Microsoft stack
- Copilot-style applications
- Integrating AI into .NET applications
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About Mastra
Mastra is a TypeScript-first agent framework for building production AI applications. It provides primitives for agents, workflows, RAG, integrations, and memory with a focus on developer experience and type safety. Mastra is designed for full-stack TypeScript developers who want to build AI features without leaving their existing tech stack.
About Semantic Kernel
Semantic Kernel is Microsoft's enterprise SDK for integrating AI into applications. It provides planners for multi-step task execution, plugin architectures for tool use, memory systems, and connectors for all major LLM providers. Available in C#, Python, and Java, Semantic Kernel is designed for enterprise .NET shops building AI-powered features into existing applications.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworks tools →