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LlamaIndex vs Mastra
LlamaIndex provides data-centric retrieval over documents, not a full agent framework with memory and workflows.
Which to pick
Pick LlamaIndex if you want…
- Agentic OCR for complex docs
- Document-oriented retrieval
- Integrations with Microsoft Azure Marketplace (on LlamaIndex's list, not Mastra's)
Pick Mastra if you want…
- Typed AI agents with built-in observability
- Integrations with React, Next.js or Node (on Mastra's list, not LlamaIndex's)
Side by side
- What it is
- LlamaIndex:LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.
- Mastra:Mastra is an open-source TypeScript framework for building AI agents with memory, tools, workflows and observability.
- Best for
- LlamaIndex:Agentic OCR for complex docs
- Mastra:Typed AI agents with built-in observability
- Who it’s for
- LlamaIndex:Developers building AI agents and RAG pipelines that need accurate document parsing.
- Mastra:TypeScript developers building AI-powered applications and agents.
- Pricing
- LlamaIndex:Freemium
- Mastra:Freemium
- Plans
- LlamaIndex:Free $0
- Mastra:Starter $0 per month · Teams $250 per month
- Open source
- LlamaIndex:Yes, 52,381 GitHub stars
- Mastra:Yes, 28,481 GitHub stars
- Works with
- LlamaIndex:Microsoft Azure Marketplace
- Mastra:React, Next.js, Node, LibSQL, Postgres, Vite
LlamaIndex features
- Agentic OCR. Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
- Schema-based Extraction. Turn unstructured content into structured JSON using LLM-powered agents without training.
- Document Splitting & Classification. Automatically segment and categorize documents using natural-language rules.
- Enterprise Indexing. Chunking and embedding pipeline for precise retrieval in RAG applications.
- LiteParse Local Engine. Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
- Security & Compliance. SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.
Mastra features
- Typed Agents. Define agents with instructions, models, tools and runtime behavior in TypeScript.
- Workflows. Compose multi-step, retryable, branchable workflows with typed control flow.
- Harness. Coordinate multi-mode agents with shared state, threads and storage.
- Memory. Durable observational memory with semantic recall and thread-aware storage.
- Observability. Logs, metrics, traces, datasets and signals for full runtime insight.
- Server & Studio. Run agents locally or in Mastra Cloud and manage them via a web studio.
LlamaIndex vs Mastra FAQ
Is LlamaIndex or Mastra free?+
LlamaIndex has a free plan and paid plans. Mastra has a free plan (Starter); paid plans start at $250/month (Teams).
Is LlamaIndex or Mastra open source?+
Yes, both are open source: LlamaIndex (run-llama/llama_index on GitHub, MIT license) and Mastra (mastra-ai/mastra on GitHub).
Do LlamaIndex and Mastra integrate with the same tools?+
Their integration lists don't overlap: LlamaIndex lists Microsoft Azure Marketplace; Mastra lists React, Next.js, Node, LibSQL and 2 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.