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Basic concepts and understanding of memory

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  • Why this server?

    A basic implementation of persistent memory using a local knowledge graph, allowing Claude to remember information about the user across chats.

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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.
    Last updated
    9
    80,650
    86,964
    MIT
  • Why this server?

    An implementation of persistent memory for chat applications by utilizing a local knowledge graph to remember user information across interactions.

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    An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.
    Last updated
    11
    1,590
    62
    JavaScript
    MIT
  • Why this server?

    Provides a set of tools and resources for AI assistants to interact with Memory Banks, which are structured repositories of information that help maintain context and track progress across multiple sessions.

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    Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.
    Last updated
    36
    46
    MIT
  • Why this server?

    This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.

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    maintenance
    This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.
    Last updated
    9
    80,650
    6
    MIT
  • Why this server?

    A high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.

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    A high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.
    Last updated
    6
    122
    24
    MIT
  • Why this server?

    Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.

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    Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.
    Last updated
    13
    80,650
    52
    MIT
  • Why this server?

    A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.

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    A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.
    Last updated
    6
    122
    85
  • Why this server?

    Maintains consistent LLM interaction styles across conversations by storing emoji-based context keys (emojikeys) that can be used across different devices and applications.

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    Maintains consistent LLM interaction styles across conversations by storing emoji-based context keys (emojikeys) that can be used across different devices and applications.
    Last updated
    15
    5
    MIT
  • Why this server?

    A Model Context Protocol server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.

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    A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.
    Last updated
    21
    79
    MIT