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Understanding Memory Graphs and Their Applications

  • Why this server?

    Addresses memory management specifically, providing a user-friendly interface for AI assistants.

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    A comprehensive memory management system for Cursor IDE that allows AI assistants to remember, recall, and manage information across conversations through a user-friendly interface.
    2
    Python
  • Why this server?

    Mentions knowledge graphs for quantitative research, which could involve memory components.

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    Provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.
    1
    TypeScript
    • Apple
    • Linux
  • Why this server?

    Mentions knowledge graphs for qualitative research, which could involve memory components.

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    Provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings.
    TypeScript
    • Apple
    • Linux
  • Why this server?

    Directly related to knowledge graphs for memory.

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    A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
    9
    9,068
    37,968
    JavaScript
    MIT License
  • Why this server?

    Provides vector database capabilities, useful for implementing memory with semantic document search.

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    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
    17
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Specifically designed to provide persistent memory capabilities for Claude.

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    An MCP server that provides persistent memory capabilities for Claude, offering tiered memory architecture with semantic search, memory consolidation, and integration with the Claude desktop application.
    Python
    MIT License
  • Why this server?

    Focuses on managing AI conversation context and personal knowledge bases.

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    Manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management.
    1
    TypeScript
  • Why this server?

    Designed to manage conversation context for LLM interactions.

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    A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.
    1,679
    TypeScript
  • Why this server?

    While not directly related to memory graphs, combining multiple servers could require memory management.

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    A server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results.
    JavaScript
  • Why this server?

    It provide a simple note storage system with custom URI scheme, implying a basic form of memory.

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    Converts Markdown to styled PDFs using VS Code's markdown styling and Python's ReportLab, providing a simple note storage system with custom URI scheme.
    6
    Python
    • Apple