Mdlr

Mdlr

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Introduction
MDLR is an open-source framework that analyzes unstructured content to organize scattered data into actionable, evolving summaries.
Listed on
July 23, 2026

What is Mdlr?

MDLR is an open-source framework that analyzes unstructured content—comments, notes, and more—to organize scattered data into actionable, evolving summaries. It provides ongoing, auto-updating summary notes that adapt as new data comes in, keeping insights fresh and relevant. It can be integrated into platforms as an extension to transform scattered content into intelligent insights for personal and collaborative projects.

How to use Mdlr?

  • To use MDLR, you can integrate it into your platform as an extension. The project will be available on GitHub with comprehensive documentation to guide you through setup and usage. You will need to roll out your own database (e.g., Supabase) to store and manage project data.

Core features of Mdlr

  • AI-driven summaries that auto-update as new data arrives
  • Analyzes unstructured content like comments, notes, and ideas
  • Open-source framework under MIT License
  • Integrates as an extension into existing platforms
  • Supports personal and collaborative projects
  • Full control over AI-driven summaries

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