LettavsCrawl4AI

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

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Full review →Website ↗

Crawl4AI

Data & ETL

Open-source LLM-friendly web crawler and scraper

Full review →Website ↗
FeatureLettaCrawl4AI
CategoryAI Agent FrameworksData & ETL
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
13k
✓ More stars
50k
PlatformsLinux, macOS, DockermacOS, Linux, Windows
Key Features
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
  • ✓ LLM-ready output
  • ✓ Markdown extraction
  • ✓ JavaScript rendering
  • ✓ Structured data
  • ✓ Batch crawling
  • ✓ API server
Pros
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + Built specifically for AI/LLM use
  • + Free and open-source
  • + JavaScript rendering support
  • + Multiple output formats
  • + Fast async crawling
Cons
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
  • − Relatively new project
  • − Limited documentation
  • − May struggle with complex sites
  • − Needs Python environment
Tags
memorystatefulagentsopen-source
open-sourcescrapingcrawlerragdata

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