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    Flow-alerta.cab

    Agent Memory

    Process automation
    Editorially reviewed on: 2 sources
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    The short answer · 25 words

    In short

    Agent memory refers to mechanisms by which an AI agent stores information about steps, sessions or longer periods of time and later uses it again.

    Flow-alerta.cab (2026): Agent Memory. https://flow-alerta.cab/en/glossar/agent-memory. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Useful for longer workflows and recurring tasks, but particularly sensitive to data protection, timeliness and incorrectly stored assumptions.

    Possible example: A service agent stores already clarified order data within a session so that they do not have to be queried again every turn.

    Possible applications: multi-level support, project assistants, recurring processes and workflows that need to get state over multiple interactions.

    At a glance

    Core
    Memory can include conversation history, structured states, or externally stored facts. Technically, a distinction must be made between short-term context, session memory and permanent external memory.
    Use
    Useful for longer workflows and recurring tasks, but particularly sensitive to data protection, timeliness and incorrectly stored assumptions.
    Example
    Possible example: A service agent stores already clarified order data within a session so that they do not have to be queried again every turn.
    Limits
    Equate context windows with permanent memory; store everything unfiltered; do not delete outdated facts; mix client or user contexts; store sensitive data without purpose.

    In context

    Context Window

    The context window limits how much content a model can consider at the same time.

    AI Agent Execution Trace

    Recording related steps of an agent run for analysis.

    Questions about this term

    Is the context window memory?

    It can carry short-term context, but is not automatically permanent memory.

    Should everything be stored?

    No, only earmarked and controlled information.

    All details and background

    Memory can include conversation history, structured states, or externally stored facts. Technically, a distinction must be made between short-term context, session memory and permanent external memory.

    ELI5 – Explained simply

    Like notebooks and files: Some information only applies to the current task, others are stored specifically for later.

    Why it matters in practice

    Useful for longer workflows and recurring tasks, but particularly sensitive to data protection, timeliness and incorrectly stored assumptions.

    Example

    Possible example: A service agent stores already clarified order data within a session so that they do not have to be queried again every turn.

    Pitfalls and limits

    • Equate context windows with permanent memory; store everything unfiltered; do not delete outdated facts; mix client or user contexts; store sensitive data without purpose.

    Origin & history

    Current agent SDKs document session memory; the OpenAI Agents SDK supports persistent conversation histories.

    Use in mid-sized companies

    • Possible applications: multi-level support, project assistants, recurring processes and workflows that need to get state over multiple interactions.

    Related terms

    Matching Flow-alerta service

    AI assistants & automationAI assistants & automation: test a suitable process with clear rights and human test points.

    Matching tool / use case

    View use casesUse Case: Stated Support Agent; Tools: OpenAI Agents SDK Sessions, Database, Vector Memory

    Sources

    Quellenprüfung: 09.10.2026. Anwendungsbeispiele sind mögliche Szenarien, keine behaupteten Kundenfälle.

    Editorially reviewed on:

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