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    Zep

    Data integration & searchZep Context LayerZep Memory
    Reading time: 2 min.Editorially reviewed on:

    Definition

    Zep provides context and memory for AI agents from conversations and company data.

    Data is organized so that agents can retrieve relevant information. Time-related relationships help represent changes in facts and connections.

    Simply explained

    Like an ordered file that also records when information was valid.

    Why it matters in practice

    Agents can access appropriate context beyond individual conversations.

    Example from business

    Hypothetical example: A service assistant considers previous concerns and the current status of a customer case.

    Limits and pitfalls

    • Outdated or incorrectly assigned memories influence responses; access and retention must be regulated.

    Origin & history

    Zep evolved from agent memory to a more comprehensive context platform.

    Use in mid-sized companies

    • Connecting conversation context and company knowledge for assistants.

    Frequently asked questions

    Is stored context automatically true?

    No, origin and validity must remain traceable.

    Sources

    Editorially reviewed on:

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    Next step

    Put knowledge into practice