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Memory

Empowers AI coding assistants with robust memory management, file approval tracking, and automatic code discoverability through intelligent folder mapping.

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This server provides a crucial suite of tools designed to enhance the effectiveness of AI coding assistants and streamline developer workflows. Its standout feature is the automatic folder mapping system, which generates `_map.md` files for every project directory. These maps offer instant overviews of classes, functions, file purposes, dependencies, and risks, solving the critical problem of code discoverability. Beyond mapping, it offers comprehensive memory management for coding sessions, file approval tracking, and changelog functionality, enabling AI agents to understand, manage, and contribute to codebases more intelligently and efficiently, preventing duplication and fostering better code reuse.

Características Principales

  • File Approval and Modification Tracking
  • Metadata Parsing and Changelog Generation
  • Enhanced Code Discoverability for AI agents and developers
  • Automatic Folder Mapping System (generates `_map.md` overviews)
  • Comprehensive Memory Management for AI coding sessions
  • 0 GitHub stars

Casos de Uso

  • Improving AI coding assistant's understanding and interaction with large codebases
  • Streamlining code review and modification workflows for AI-assisted development
  • Accelerating developer onboarding and project comprehension
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