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    An MCP server that enables LLMs to pull-based search through Clawket's RAG repository for exploratory and conditional queries. It provides read-only access to search artifacts, tasks, and decisions via HTTP API.
    5
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    MIT
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    A local-first, zero-token memory MCP server for AI coding agents, storing memories in SQLite and providing memory_recall and memory_add tools for pull-based retrieval.
    2
    MIT
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    Portable memory protocol for AI coding sessions. Push the state of a session (goal, decisions, attempts, next step) from one MCP-capable agent and pull it back from another.
    12
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    Apache 2.0
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    A standalone memory service that provides a unified, pull-based knowledge store for AI agents, enabling shared memory and skills across multiple AI clients via MCP.
    6
    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.
    16
    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.
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    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.
    1
    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.
    16
    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 Claude to pull curated context from self-hosted Markdown files via a remote MCP connector, with an append-only journal for agent notes manually promoted by the owner.
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    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 distributed durable notebook MCP server for high-scale agents, providing git-like pull and commit tools with automatic conflict resolution.
    MIT