DoclingvsLetta

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

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

Full review →Website ↗

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Full review →Website ↗
FeatureDoclingLetta
CategoryData & ETLAI Agent Frameworks
PricingFree (open-source)Free (open-source) + Cloud
GitHub Stars
✓ More stars
15k
13k
PlatformsLinux, macOS, WindowsLinux, macOS, Docker
Key Features
  • ✓ PDF conversion
  • ✓ Table extraction
  • ✓ OCR
  • ✓ Markdown output
  • ✓ LlamaIndex integration
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
Pros
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • − Heavy dependencies
  • − Can be slow on large docs
  • − Python only
  • − Complex output format
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
Tags
documentspdfconversionibm
memorystatefulagentsopen-source

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