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Sticky Note

Learn about sticky note and how to implement it effectively.

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Last updated: 12/9/2025

Sticky Note (Agentflow Node)

The Sticky Note node in InnoSynth-Forjinn's Agentflow is a simple yet effective utility for adding textual annotations directly onto your workflow canvas. It serves as a visual reminder, a place for temporary notes, or a way to add inline documentation to your chatflows and agentflows without affecting their execution logic.

Purpose

The Sticky Note node is designed for:

  • Workflow Documentation: Adding explanations or context to complex parts of your workflow.
  • Reminders: Jotting down ideas, to-dos, or considerations for future development.
  • Collaboration: Leaving notes for other team members working on the same workflow.
  • Visual Organization: Breaking up the canvas with descriptive text.

Appearance on Canvas

(Image: Placeholder for the Sticky Note node icon/appearance on the canvas)

Configuration Parameters

The Sticky Note node has a single, optional configuration parameter:

1. Note (Optional)

  • Label: (Empty, as it's a direct text input)
  • Type: string
  • Rows: 1 (can be expanded in the UI)
  • Placeholder: Type something here
  • Description: The text content of your sticky note. You can type any message, reminder, or explanation here.

Inputs & Outputs

  • Input: The Sticky Note node does not have any input ports, as it does not process data from other nodes.
  • Output: The Sticky Note node does not have any output ports, as it does not produce any data for other nodes. Its purpose is purely informational and visual.

How it Works During Execution

The Sticky Note node is a non-executable component. It is completely ignored during the runtime of the workflow and serves only as a visual aid on the canvas.

Example Usage: Explaining a Complex Section

Imagine you have a complex series of nodes that perform a specific data cleaning operation. You can add a Sticky Note to explain its purpose.

  1. Drag a Sticky Note node onto the canvas near the complex section.
  2. Type your note:
    This section is responsible for cleaning and normalizing user input data,
    handling typos and standardizing formats before passing to the LLM.
    
  3. Position the note appropriately on the canvas.

This helps anyone viewing the workflow to quickly understand the intent and functionality of that particular section.