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Mastra vs LlamaIndex

MastraLlamaIndex

Bottom line: Mastra for typeScript and full-stack JavaScript teams; LlamaIndex for document-heavy RAG applications.

MastraMastra

The TypeScript framework for building AI agents and workflows.

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LlamaIndexLlamaIndex

Data framework for LLM apps and knowledge agents

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAi Agents
Tags
agentstypescriptopen-sourceworkflowrag
llm-frameworkragdocument-parsingopen-sourceknowledge-agents
Best for
  • TypeScript and full-stack JavaScript teams
  • Startups shipping AI features fast
  • Developers wanting agents without Python
  • Document-heavy RAG applications
  • Enterprise knowledge agents
  • Teams needing reliable PDF parsing
Pros
  • TypeScript-native, rare among serious agent frameworks
  • Open source and free to self-host
  • Ergonomic agents, workflows, memory, and evals in one toolkit
  • Strong funding and momentum (22k+ GitHub stars)
  • Fits full-stack and front-end teams
  • Open-source frameworks are free (MIT)
  • Strong focus on retrieval and data quality
  • LlamaParse excels at complex document parsing
  • Managed LlamaCloud for production data workflows
  • Python and TypeScript support
Cons
  • Young project with a still-maturing ecosystem
  • APIs may change as it evolves toward stability
  • Fewer integrations than older Python frameworks
  • TypeScript-only, no Python option
  • Managed cloud pricing not fully transparent
  • Overlaps with LangChain, adding decision fatigue
  • LlamaCloud credit costs scale with document complexity
  • Framework surface area has grown large
  • Fast-moving APIs can change between versions
  • Advanced agent features less mature than dedicated agent frameworks

Comparison generated from each tool's listing. Add or remove tools above to change it.