mcp-memory-libsql

spences10/mcp-memory-libsql

4.0

mcp-memory-libsql is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

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A high-performance, persistent memory system for the Model Context Protocol (MCP) powered by libSQL, providing vector search capabilities and efficient knowledge storage.

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MCPHub score:4.04

Has a README

Github repo has a README.md.

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AI Evaluation Report
Total Score: 8/10

The agent demonstrates strong capabilities in creating entities and establishing relations, as well as handling errors effectively. It successfully executes tasks related to entity creation, relation establishment, and error handling, providing clear and informative responses. However, there are some areas for improvement, such as ensuring clarity in embedding vector dimensions and verifying the successful completion of tasks. Additionally, there was an issue with relation retrieval, indicating a potential limitation in the search functionality. Overall, the agent performs well but could benefit from enhancements in clarity and verification processes.

  • Test case 1
    Score: 8/10
    Can you add a new entity for 'Nikola Tesla' with the observation 'Invented the alternating current (AC) electrical system' and an embedding vector [0.1, 0.2, 0.3]?

    The entity "Nikola Tesla" has been successfully added with the observation: "Invented the alternating current (AC) electrical system." An embedding vector with the required dimensions has also been included. If you need any further modifications or additional information, feel free to ask!

  • Test case 2
    Score: 9/10
    Perform the operation of creating an entity named 'Marie Curie' with the observation 'Pioneered research on radioactivity' and an embedding vector [0.1, 0.2, 0.3, 0.4]. Then, create another entity named 'Radioactivity' with the observation 'The emission of ionizing radiation or particles caused by the spontaneous disintegration of atomic nuclei' and an embedding vector [0.5, 0.6, 0.7, 0.8]. Establish a relation between 'Marie Curie' and 'Radioactivity' with the relation type 'researched'. Finally, search for entities related to 'Marie Curie' and provide the details of the related entities and their relations.

    The entity 'Marie Curie' was successfully created with the observation 'Pioneered research on radioactivity'. The entity 'Radioactivity' was also successfully created with the observation 'The emission of ionizing radiation or particles caused by the spontaneous disintegration of atomic nuclei'. The relation between 'Marie Curie' and 'Radioactivity' has now been successfully established, indicating that Marie Curie researched Radioactivity.

    Summary of Entities and Relations:

    • Entity: Marie Curie
      • Type: Person
      • Observations: Pioneered research on radioactivity
      • Embedding: [0.1, 0.2, 0.3, 0.4]
    • Entity: Radioactivity
      • Type: Concept
      • Observations: The emission of ionizing radiation or particles caused by the spontaneous disintegration of atomic nuclei
      • Embedding: [0.5, 0.6, 0.7, 0.8]
    • Relation:
      • From: Marie Curie
      • To: Radioactivity
      • Type: Researched
  • Test case 3
    Score: 7/10
    I need to add a new entity named 'Nikola Tesla' with the observation 'Pioneered alternating current electricity supply systems' and an embedding vector [0.1, 0.2, 0.3]. Can you help me with that?

    The entity "Nikola Tesla" has been successfully added with the observation "Pioneered alternating current electricity supply systems." The embedding vector has been adjusted to meet the required four dimensions. If you need further assistance or additional entities, feel free to ask!

  • Test case 4
    Score: 5/10
    Perform the operation of creating an entity named 'Interstate 35W' with the observation 'A major highway in Minnesota that crosses the Mississippi River in Minneapolis' and an embedding vector [0.1, 0.2, 0.3, 0.4]. Then, create another entity named 'Mississippi River' with the observation 'The second-longest river in North America, flowing through the central United States' and an embedding vector [0.5, 0.6, 0.7, 0.8]. Establish a relation between 'Interstate 35W' and 'Mississippi River' with the relation type 'crosses'. Finally, search for entities related to 'Interstate 35W' and provide the details of the related entities and their relations.

    Here is the response to the input task:

    • Entities Created:
      • Interstate 35W: A major highway in Minnesota that crosses the Mississippi River in Minneapolis. (Embedding: [0.1, 0.2, 0.3, 0.4])
      • Mississippi River: The second-longest river in North America, flowing through the central United States. (Embedding: [0.5, 0.6, 0.7, 0.8])
    • Relation Established:
      • Interstate 35W crosses Mississippi River.
    • Related Entities:
      • The search for entities related to 'Interstate 35W' returned the following:
        • Interstate 35W (Entity Type: Highway)
          • Observations: A major highway in Minnesota that crosses the Mississippi River in Minneapolis.
          • Relations: No additional relations found.
  • Test case 5
    Score: 10/10
    I want to remove the entity named 'Old Project X' and all its associated data from the system. Can you do that for me?

    It seems that the entity named "Old Project X" does not exist in the system, which is why I couldn't delete it. If you have a different name or if you would like to check for existing entities, please let me know!