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Data & Memory

Save to Agent Memory

The Save to Agent Memory node stores data in a memory table that AI agents can access later. This enables persistent data storage across workflow runs.

📺 Video: How to Give Your AI Agents Memory

When to Use

Use Save to Agent Memory when you need to persist data between workflow executions. Common uses include building lead databases, storing enrichment results, or maintaining context for AI agents.

Inputs

Input

Description

tableId

The ID of the memory table to save to

data

The data object to store

Output Variables

Variable

Description

success

Whether the data was saved successfully (true/false)

recordId

The ID of the saved record

message

A status message describing the result

Syntax Example

{{ !ref($.steps.saveToAgentMemory1.result.success) }}{{ !ref($.steps.saveToAgentMemory1.result.recordId) }}

1. Fetch Search Results - get posts

2. Loop - iterate through posts

3. Person Enrichment - enrich the author

4. Email Enrichment - find their email

5. Save to Agent Memory - store the enriched lead data for future use

Pro tip: Use Agent Memory to save content that the agent can look through later. This may be to identify winning posts, best hooks or themes.

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