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    A general-purpose MCP server providing web search, persistent memory storage, and secure code execution capabilities. It enables AI agents to search the web, store and retrieve data, and run Python/JavaScript code in sandboxed environments.
    8
    MIT
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    A persistent memory layer for AI tools that decouples personal data from AI's unstable memory, enabling you to mention information once and have it remembered forever across all conversations.
    3
    MIT
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    An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.
    15
    MIT
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    Provides QE Framework expert-library guidance with compact search and recommendation tools, returning full expert content only on explicit request.
    20
    MIT
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    Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.
    Apache 2.0
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    A local memory server for AI agents that stores and retrieves information via MCP, keeping all data in SQLite on your machine.
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    Apache 2.0
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    Enables MCP clients like Cursor and Claude to remember user preferences and information across conversations using vector search.
    15
    MIT
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    Enables large language models to directly access and search content in ZIM files, allowing offline question answering and information retrieval from resources like Wikipedia.
    19
    MIT
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    Enables semantic search and retrieval of information from personal and team knowledge repositories including Slack, Gmail, Dropbox, Google Drive, and uploaded files. Allows storing new information for future recall through AI-powered search.
    Apache 2.0
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    Enables AI assistants to have persistent long-term memory by automatically storing and retrieving important information via MCP tools.
    MIT
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    Retavyn provides persistent memory for Claude, automatically storing and injecting memories across sessions to maintain context and recall past information.
    MIT
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    A general-purpose MCP memory server that gives AI clients long-term memory with semantic search, memory classification, priority management, and progressive injection, supporting local JSON or cloud PostgreSQL storage.
    AGPL 3.0
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    An MCP server that enables clients like Cursor, Claude, and Windsurf to remember user information and preferences across conversations using vector search technology.
    15
    MIT
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    MCP Memory is a MCP Server that gives MCP Clients the ability to remember information about users across conversations using vector search.
    15
    MIT