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Setting up an efficient memory storage and retrieval system for Claude desktop with integration to Obsidian

  • Why this server?

    This server is specifically designed to provide persistent memory capabilities for Claude, including tiered memory architecture, semantic search, and integration with the Claude desktop application.

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    An MCP server that provides persistent memory capabilities for Claude, offering tiered memory architecture with semantic search, memory consolidation, and integration with the Claude desktop application.
    Python
    MIT License
  • Why this server?

    This MCP server enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API, which aligns with the user's need for storing and retrieving memories.

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    A Model Context Protocol server enabling LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API.
    19
    Python
    Apache 2.0
  • Why this server?

    This server provides vector database capabilities through Chroma, enabling semantic document search and metadata filtering, which are essential for efficient memory retrieval.

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    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
    17
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    A comprehensive memory management system for Cursor IDE, Pippa allows AI assistants to remember, recall, and manage information across conversations through a user-friendly interface, aligning with the memory storage and retrieval requirement.

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    A comprehensive memory management system for Cursor IDE that allows AI assistants to remember, recall, and manage information across conversations through a user-friendly interface.
    2
    Python
  • Why this server?

    Graphlit allows ingesting data from various sources (Slack, Gmail, web crawling) and retrieving relevant content, offering a flexible way to create and manage memories.

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    The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
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    2,634
    196
    TypeScript
    MIT License
    • Apple
  • Why this server?

    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings. This server supports adding, searching, listing, and deleting documentation with metadata support.

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
    5
    4
    TypeScript
    Apache 2.0
  • Why this server?

    This server provides a basic implementation of persistent memory using a local knowledge graph, allowing Claude to remember information about the user across chats.

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    A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
    9
    9,068
    37,968
    JavaScript
    MIT License
  • Why this server?

    This server manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management.

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    Manages AI conversation context and personal knowledge bases through the Model Context Protocol (MCP), providing tools for user data, conversation content, and knowledge management.
    1
    TypeScript
  • Why this server?

    This service automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects, supporting efficient retrieval.

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    A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.
    TypeScript
  • Why this server?

    This server provides interaction with Obsidian via the Local REST API community plugin, allowing to see and edit memories in obsidian.