"What does the Add to Memory component do?"

"It allows you to save documents or messages into long-term memory within your workflow, using a lookup key to categorize and easily retrieve data later."

"Why would I use a lookup key?"

"A lookup key helps organize saved information by category, making it easier to filter and find specific data when needed in future workflow steps."

"What type of data can be stored?"

"You can store documents or messages—such as user input, responses, or system data—using this component."

"Is the information stored permanently?"

"Data added with this component is stored for long-term use within your FlowHunt workflows, enabling advanced automations and context-aware interactions."

"Can I retrieve the saved information later in my flow?"

"Yes, you can access and use the stored data in subsequent workflow steps by referencing the associated lookup key."

Add to Memory

The Add to Memory component enables storing documents or messages in long-term memory, tagged with lookup keys for future reference within your workflows.

Published on Jun 9, 2025. Last modified on Jun 9, 2025 at 1:46 pm

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Component description

How the Add to Memory component works

Add to Memory Component

The Add to Memory component is designed to enhance your AI workflow by enabling the storage of documents or messages in a long-term memory index. This is particularly useful for workflows that require context retention, knowledge management, or information retrieval across different stages or sessions.

What Does This Component Do?

This component takes an input document (such as a message or piece of data) and stores it in a long-term memory store. It also associates the document with a specific “lookup key,” which acts as a category or identifier for easier retrieval later. By indexing information in this way, your AI system can build up a persistent memory, which can be referenced in future processes or conversations.

Inputs

Input Name	Type	Description	Required
Document to Index	Document	The main content (e.g., message, file, or text) to be added to long-term memory.	Yes
Lookup Key	Message	A text identifier used to categorize or label the document for efficient future retrieval.	Yes

Details:

Document to Index: This is the content you want to save for later use. It could be a user message, a knowledge article, or any structured document.
Lookup Key: This string helps filter and find documents during future searches, acting as a tag or category.

Output

After adding the document to memory, the component produces an output:

Output Name	Type	Description
After Memory Added	Message	Signals that the document has been successfully stored.

This output can be used to trigger additional steps in your workflow, such as confirmation messages, further processing, or logging.

When Should You Use This Component?

Building Conversational AI: Maintain continuity by remembering previous interactions.
Knowledge Management: Store and organize facts, documents, or user inputs for later retrieval.
Contextual Decision Making: Retain important information across different workflow stages.

Key Benefits

Persistent Memory: Ensures important information is not lost between sessions.
Efficient Retrieval: Lookup keys allow you to categorize and quickly filter stored documents.
Flexible Integration: Can be seamlessly added to any AI workflow needing memory capabilities.

Summary Table

Property	Value
Name	Add to Memory
Version	1.0.0
Inputs	Document, Lookup Key
Output	After Memory Added
Use Case	Long-term storage

By using the Add to Memory component, you empower your AI systems with the ability to remember, organize, and re-use critical information, making your workflows smarter and more context-aware.

Examples of flow templates using Add to Memory component

To help you get started quickly, we have prepared several example flow templates that demonstrate how to use the Add to Memory component effectively. These templates showcase different use cases and best practices, making it easier for you to understand and implement the component in your own projects.

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Frequently asked questions

What does the Add to Memory component do?: It allows you to save documents or messages into long-term memory within your workflow, using a lookup key to categorize and easily retrieve data later.
Why would I use a lookup key?: A lookup key helps organize saved information by category, making it easier to filter and find specific data when needed in future workflow steps.
What type of data can be stored?: You can store documents or messages—such as user input, responses, or system data—using this component.
Is the information stored permanently?: Data added with this component is stored for long-term use within your FlowHunt workflows, enabling advanced automations and context-aware interactions.
Can I retrieve the saved information later in my flow?: Yes, you can access and use the stored data in subsequent workflow steps by referencing the associated lookup key.

Try FlowHunt Add to Memory

Enhance your workflows with persistent memory. Use the Add to Memory component to save and organize crucial data for smarter automations.

Try it Now Book a demo

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