Mem0vsDocling

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

Mem0

AI Agent Frameworks

Memory layer for AI agents — persistent, searchable, context-aware

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

FeatureMem0Docling
CategoryAI Agent FrameworksData & ETL
PricingFree (open-source), hosted platform availableFree (open-source)
GitHub Stars
More stars
25k
15k
PlatformsLinux, macOS, DockerLinux, macOS, Windows
Key Features
  • Long-term memory
  • User preferences
  • Multi-level memory
  • API
  • Self-improving
  • PDF conversion
  • Table extraction
  • OCR
  • Markdown output
  • LlamaIndex integration
Pros
  • + Drop-in memory for any AI agent
  • + Automatic relevance scoring
  • + Works with any LLM
  • + Both local and hosted options
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
Cons
  • Adds complexity to agent architecture
  • Hosted version has usage limits
  • Heavy dependencies
  • Can be slow on large docs
  • Python only
  • Complex output format
Tags
memoryagentspersonalizationopen-source
documentspdfconversionibm

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