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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

DeepWiki logo
DeepWiki
✓ verifiedFree

Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.

1.2M visits/mo
Ello logo
Ello
✓ verifiedFreemium

Adaptive AI reading and math tutor for children ages 4-9 that listens and adjusts lessons in real time.

1.1K visits/mo
supermemory™ logo
supermemory™
✓ verifiedFreemium

Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.

174K visits/mo
Pricing

No public pricing

No public pricing

Free: $0/mo (~$5/mo of usage included)
Pro: $19/mo (~$20/mo of usage, unlimited storage, 2 teammates)
Max: $100/mo (~$130/mo of usage, 6x Pro headroom)
Scale: $399/mo (~$600/mo of usage, up to 10 teammates)
Core features
  • AI-generated documentation for GitHub repos
  • Conversational Q&A about a codebase
  • Browsable index of popular repositories
  • Deep code indexing via Devin
  • Real-time AI listening and adaptation
  • Interactive reading and math curriculum
  • Create-your-own books
  • Science of Reading-aligned library
  • Parent progress reports
  • Child safety filters
  • Persistent, structured memory built as a knowledge graph
  • Sub-300ms hybrid retrieval (RAG) with reranking
  • Native filesystem mount for agent memory access
  • Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
  • Automatic extraction from PDFs, images, and audio
  • User profile and behavior tracking across sessions
Use cases
  • Understanding an unfamiliar codebase quickly
  • Onboarding to open-source projects
  • Answering questions about repo internals
  • Helping young children learn to read
  • Building early math skills
  • Supporting struggling or advanced readers
  • Giving parents visibility into progress
  • Developers adding long-term memory to AI agents
  • Teams building agents that need to sync with existing tools
  • Individuals wanting one memory layer shared across multiple AI assistants
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