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Thunderbit vs Cognee

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Thunderbit compared with Cognee
Detail Thunderbit Cognee
What it doesAgentic Web Scraper - Scrape any website in 1 click Open-source memory platform for AI agents
StageGrowing Not given
Founded2023 Not given
Based inUS DE
Pricing modelFreemium Not given
PricingFree plan includes up to 6 pages with AI scraper, AI Suggest Fields, sub-page scraping, and export. Starter plan at $15/mo and Pro plan at $38/mo available. Free: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host.
Key features
  • AI-powered field suggestion
  • Automatic pagination detection
  • Sub-page data enrichment
  • Natural language configuration
  • Multi-format data export
  • Data summarization and categorization
  • Behind-login scraping
  • Works on PDFs and images
  • Unified vector search, knowledge graphs, and relational storage
  • Automatic knowledge graph generation from data sources
  • Multi-tenant support with isolated workspaces
  • Data source integrations (Slack, Notion, Google Drive, GitHub, etc.)
  • Self-improving memory that learns from use
  • Multiple deployment options (cloud, self-hosted, air-gapped)
  • Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP)
  • Support for multiple vector and graph databases
  • GDPR compliance and encryption at rest and in transit
  • Built-in graph visualization of company brain
What makes it different
  • No XPath, selectors, or code required
  • Adapts automatically to website layout changes
  • Minimal configuration needed
  • Built for non-technical users
  • Handles scale automatically
  • Combines vectors with graph relationships and generated data models for connected context retrieval
  • State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens)
  • Keeps memory costs flat as data grows compared to baseline LLM approaches
  • Fully open-source with no database lock-in
  • Updates memory as source data changes, not just static snapshots
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)72 no change since last check70 no change since last check
Trust Flow (Majestic)3014
Citation Flow (Majestic)4943
Referring domains (Majestic)35611089

5 details filled in for both companies.

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