Mastra vs LlamaIndex
Side-by-side comparison to help you choose the best tool.
Mastra
freeMastra is an open-source TypeScript AI system for building agents, workflows, and RAG applications. It provides a unified abstraction for LLM calls, tool use, memory, and workflow orchestration with built-in evaluation and observability. Mastra is designed as a production-ready system with a developer experience comparable to Next.js for AI application development.
Best for: TypeScript developers building production AI agents, workflows, and RAG applications who want a modern, opinionated system with excellent DX
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LlamaIndex
freeLlamaIndex (formerly GPT Index) is a data system for building LLM applications over custom data. It specializes in indexing, retrieval, and querying unstructured data with capable RAG features and connectors to hundreds of data sources.
Best for: Developers building RAG applications and knowledge assistants
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Feature Comparison
| Feature | Mastra | LlamaIndex |
|---|---|---|
| Pricing | free | free |
| Category | - | - |
| Rating | 4.3 | 4.6 |
| Best For | TypeScript developers building production AI agents, workflows, and RAG applications who want a modern, opinionated system with excellent DX | Developers building RAG applications and knowledge assistants |
| Views | 36 | 37 |
Pros & Cons — Mastra
Pros
- TypeScript-first for frontend and full-stack teams
- Production-ready with built-in evaluation
- Developer experience comparable to Next.js
Cons
- TypeScript only
- Newer framework with smaller community
Pros & Cons — LlamaIndex
Pros
- Best-in-class RAG
- Rich data connectors
- Active development
Cons
- Steeper learning curve
- Documentation gaps
Key Features — Mastra
- TypeScript AI agent framework
- Workflow orchestration
- RAG with built-in vector search
- Built-in evaluation
- Model-agnostic
Key Features — LlamaIndex
- Data ingestion pipelines
- Advanced RAG
- Agent workflows
- 160+ data connectors
- LlamaCloud managed service