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"Elm" matching MCP servers:

  • A
    license
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    quality
    A
    maintenance
    EMM is an MCP-native server that gives AI agents persistent, local, model-independent memory with context-efficient retrieval and project scoping.
    MIT
  • A
    license
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    quality
    B
    maintenance
    Graph-level operations for Karpathy LLM Wiki knowledge bases, enabling LLM agents via MCP and humans via CLI to perform structured graph surgery including node/edge CRUD, wikilink management, index rebuilding, and graph metrics.
    MIT
  • A
    license
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    quality
    A
    maintenance
    A local-first memory cartridge for MCP-compatible AI clients, providing durable, inspectable, and auditable memory storage with a read-only-by-default MCP server.
    1
    MIT
  • A
    license
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    quality
    B
    maintenance
    An MCP server that gives coding agents a persistent, chained memory of debugging investigations, tracking what's been tried, ruled out, and solved across sessions and scopes.
    8
    MIT
  • A
    license
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    quality
    C
    maintenance
    MCP server for persistent, compounding markdown wikis maintained by LLMs. Enables incremental knowledge base building with interlinked pages, search, and raw source management.
    16
    1
    MIT
  • A
    license
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    quality
    D
    maintenance
    Enables Claude to automatically extract entities and relationships from URLs, PDFs, and YouTube videos to build structured knowledge graphs in Neo4j. It supports custom schemas, academic citation extraction, and community detection for advanced research and content analysis.
    Apache 2.0
  • A
    license
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    quality
    C
    maintenance
    MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.
    MIT
  • A
    license
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    quality
    F
    maintenance
    Enables creation of persistent, compounding knowledge bases using Karpathy's LLM Wiki pattern with LLM-maintained markdown wikis. Supports automated ingestion, cross-referencing, synthesis, and linting of sources as an alternative to traditional RAG systems.
    61
    MIT