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"Cursor Not Losing Memory or State" matching MCP servers:

  • A
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    Provides persistent memory for Claude with hierarchical categorization, cross-corpus recall, session journals, and customizable persona, enabling memory continuity across sessions.
    Last updated
    7
    MIT
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    A tiny local MCP server that learns a user's conversational style, catchphrases, dialect markers, emoji habits, tone preferences, and concrete collaboration preferences without storing private memories.
    Last updated
    15
    1
    MIT
  • A
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    Offers MCP tools for managing a local AI memory vault, including remembering, searching, context packing, deletion, and verification of receipts.
    Last updated
    87
    Apache 2.0
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    Persistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.
    Last updated
    MIT
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    An MCP server that gives Claude-based agents persistent long-term memory with semantic search, BM25 hybrid reranking, associative recall, episode grouping, and sleep consolidation.
    Last updated
    Apache 2.0
  • F
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    Provides persistent long-term memory for AI coding agents by storing entities, relations, and observations across different sessions. It enables users to manage and query structured knowledge like coding preferences, project patterns, and technical solutions via a graph-based storage system.
    Last updated
    1
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    Enables routing context and execution across AI tools like Claude, Cursor, Windsurf, and ChatGPT with a shared memory, task board, and context bus, plus local file conversion.
    Last updated
    29
    8
    Apache 2.0
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    Provides Cursor AI agents with direct access to stock breakout signals, including trending tickers, AI-generated reports, portfolio tracking, and watchlist management, all aggregated and scored from multiple sources.
    Last updated
    4
    MIT
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    Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.
    Last updated
    7
    20
    5
    Apache 2.0
  • F
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    maintenance
    Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.
    Last updated
    10
    8