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Tools or methods for keeping track of conversations

  • Why this server?

    This server provides memory management for Cursor IDE, allowing AI assistants to remember and recall information across conversations through a user-friendly interface.

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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?

    This server manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management.

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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?

    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.

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    security
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    quality
    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?

    A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

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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.
    2,384
    TypeScript
  • Why this server?

    This system manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.

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    A system that manages context for language model interactions, allowing the model to remember previous interactions across multiple independent sessions using Gemini API.
    Python
    • Linux
    • Apple
  • Why this server?

    A basic implementation of persistent memory using a local knowledge graph. This lets Claude 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.
    9
    6,559
    37,024
    JavaScript
    MIT License
  • Why this server?

    Enables communication and coordination between different LLM agents across multiple systems, allowing specialized agents to collaborate on tasks, share context, and coordinate work through a unified platform.

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    license
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    quality
    Enables communication and coordination between different LLM agents across multiple systems, allowing specialized agents to collaborate on tasks, share context, and coordinate work through a unified platform.
    TypeScript
    • Linux
    • Apple
  • Why this server?

    A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.

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    security
    A
    license
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    quality
    A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.
    23
    1
    Python
    MIT License
    • Apple
  • Why this server?

    A Model Context Protocol server that enables creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

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    security
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    A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.
    • Linux
    • Apple
  • Why this server?

    Flipt’s MCP server allows AI assistants and LLMs to directly interact with your feature flags, segments, and evaluations through a standardized interface.

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    quality
    Flipt’s MCP server allows AI assistants and LLMs to directly interact with your feature flags, segments, and evaluations through a standardized interface. For example, you could ask your AI assistant: “What’s the current state of the ‘dark-mode’ flag?”
    53
    1
    TypeScript
    Apache 2.0