LlamaIndexvsLetta

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

FeatureLlamaIndexLetta
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
More stars
38k
13k
PlatformsLinux, macOS, WindowsLinux, macOS, Docker
Key Features
  • RAG pipelines
  • Data connectors
  • Indexing
  • Query engine
  • Agent tools
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
Pros
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • Can be complex for simple use cases
  • Abstractions hide complexity
  • Learning curve for advanced features
  • Some features require LlamaCloud
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
Tags
ragdataindexingopen-source
memorystatefulagentsopen-source

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