Keywords AI
Compare Mastra and Smolagents side by side. Both are tools in the Agent Frameworks category.
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Open Source | — |
| Best For | TypeScript developers who want a modern framework for building production AI agents | — |
| Website | mastra.ai | huggingface.co |
| Key Features |
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| Use Cases |
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Key criteria to evaluate when comparing Agent Frameworks solutions:
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.
Smolagents is Hugging Face minimalist agent framework for building AI agents with code-based actions.
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworks tools →An agent framework provides the building blocks for creating AI agents that can autonomously plan, use tools, and complete multi-step tasks. Instead of building tool use, memory, and orchestration from scratch, you get pre-built components that handle the common patterns.
For simple single-tool agents, raw API calls work fine. Frameworks become valuable when you need multi-step planning, tool orchestration, error recovery, memory, or multi-agent coordination. They save significant development time for complex agent architectures.
LangChain and LlamaIndex are the most mature with the largest ecosystems. CrewAI is best for multi-agent workflows. Vercel AI SDK is ideal for TypeScript/Next.js applications. Evaluate based on your language preference, use case complexity, and integration needs.