i-have-adhd vs Ragas

A side-by-side comparison of features, pricing, and characteristics.

i-have-adhd

An open-source skill that makes coding-agent responses concise, actionable, and ADHD-friendly.

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Ragas

Ragas is an open-source framework for evaluating Retrieval Augmented Generation (RAG) pipelines.

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Attributei-have-adhdRagas
Pricing typeFreeFree + paid
Korean supportNoNo
PlatformsClaude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor, ZedAPI, CLI
Open sourceYesYes
API available-Available
SDK-Available
LLM-based-Yes
Multimodal--
AI model--
GitHub Stars27.4K15.6K
Vendor-Exploding Gradients
CategoryDeveloper ToolsDeveloper Tools
DetailsView View

i-have-adhd key features

  • Presenting answers and next actions first
  • Structuring multi-step tasks into numbered lists
  • Redisplaying progress at every turn
  • Providing specific time estimates
  • Explaining errors focusing on location, cause, and solution
  • Suppressing unnecessary introductions and conclusions

Ragas key features

  • RAG-specific metrics
  • Synthetic test data generation
  • LLM-as-a-judge evaluation
  • Integration with LangChain/LlamaIndex
  • Component-wise evaluation
  • Custom metric support