VOOZH about

URL: https://glama.ai/mcp/servers/search/hybrid-memory-models-combining-relational-graph-and-rag-approaches

⇱ Hybrid Memory Models Combining Relational, Graph, and RAG Approaches | Glama


Search for:

Hybrid Memory Models Combining Relational, Graph, and RAG Approaches

View all MCP Servers

  • Why this server?

    Provides structured, persistent and portable memory through customizable cognitive tools defined in schema, which can incorporate graph-based storage.

    A
    license
    -
    quality
    D
    maintenance
    FEGIS is a Model Context Protocol server that gives LLMs structured, persistent and portable memory through customizable cognitive tools defined in schema.
    Last updated
    24
    Python
    MIT
  • Why this server?

    Serves as a bridge to the mem0 cloud service, specializing in project management by storing, retrieving, and searching project information in a structured format.

    F
    license
    -
    quality
    D
    maintenance
    A bridge between MCP Host applications and mem0 cloud service, specialized for project management with capabilities to store, retrieve, and search project information within a structured format.
    Last updated
    6
  • Why this server?

    Implements a basic persistent memory using a local knowledge graph, allowing Claude to remember information about the user across chats.

    A
    license
    B
    quality
    B
    maintenance
    A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
    Last updated
    9
    80,650
    86,964
    MIT
  • Why this server?

    A memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

    A
    license
    A
    quality
    C
    maintenance
    Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
    Last updated
    11
    17,901
    Apache 2.0
  • Why this server?

    Allows AI models to query and interact with FalkorDB graph databases through the Model Context Protocol.

  • Why this server?

    Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.

    A
    license
    -
    quality
    C
    maintenance
    Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.
    Last updated
    16
    MIT
  • Why this server?

    Provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage which is relevant to RAG.

    A
    license
    A
    quality
    F
    maintenance
    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
    Last updated
    6
    41
    MIT
  • Why this server?

    An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks, facilitating RAG with relational data.

    A
    license
    -
    quality
    D
    maintenance
    An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks.
    Last updated
    258
    25
    MIT
  • Why this server?

    A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

    A
    license
    -
    quality
    D
    maintenance
    A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
    Last updated
    7
    MIT