MDLR is an AI-driven, open-source framework designed to transform unstructured content, such as comments and notes, into organized, actionable summaries. Whether it's for personal use or collaborative projects, MDLR adapts to your needs.
MDLR is an AI-driven, open-source framework designed to transform unstructured content, such as comments and notes, into organized, actionable summaries. Whether it's for personal use or collaborative projects, MDLR adapts to your needs.
MDLR is an innovative, open-source framework that utilizes AI to analyze and organize unstructured content like comments and notes. This powerful platform helps transform scattered data into actionable, real-time, and continually evolving summaries. Ideal for personal diaries and collaborative efforts, MDLR provides users with AI-driven summaries that adapt as new data is introduced, ensuring insights remain current and relevant. Easily integrated into various platforms, MDLR enhances project management with auto-updating notes and summaries, perfect for both individual and group usage.
Who will use MDLR?
Project Managers
Team Leaders
Collaborative Teams
Individuals managing personal notes
How to use the MDLR?
Step1: Install the MDLR packages via npm or yarn
Step2: Set up your database, using Supabase as an example
Step3: Integrate MDLR with your platform and initialize your project
Step4: Add and organize your notes
Step5: Use the backend API to generate AI-powered summaries
Platform
web
MDLR's Core Features & Benefits
The Core Features
Real-Time Summaries
Modular Component System
Flexible Integration with Supabase
Project Organization
The Benefits
Keeps information updated and relevant
Organizes scattered data
Flexible and adaptable to various project needs
Enhances collaboration with real-time insights
MDLR's Main Use Cases & Applications
Personal notes organization
Team collaboration feedback management
Project management efficiency
MDLR's Pros & Cons
The Pros
Open-source with MIT license allowing flexible use and modification.
Provides real-time, auto-updating AI-driven summaries for unstructured data.
Can be integrated into various platforms as an extension.
Helps organize scattered feedback into actionable insights.
The Cons
Not yet publicly available, with release planned for December 2024.
Requires users to manage their own database for storing project data.
Limited information on user interface or additional features.