Workflows

Workflows in AgentLoops allow you to automate tasks by connecting different operations together in a visual interface. Think of them like a flowchart where each step performs a specific action, and data flows from one step to the next.

What is a Workflow?

A workflow is a series of connected nodes that work together to complete a task. Each node performs a specific operation - like sending a message, processing text, calling an AI model, or saving a file.

Workflows are built using a DAG (Directed Acyclic Graph) structure, which means:

• Data flows in one direction (from start to finish)
• No circular loops that would cause infinite execution
• Multiple paths can run at the same time (parallel execution)

Key Features

Visual Builder

Create workflows using a drag-and-drop interface. No coding required - simply add nodes to your canvas, connect them together, and configure their settings.

Loop Support

Run the same operations multiple times with different data using loop mode. Perfect for processing lists of items or repeating tasks.

Parallel Execution

Multiple nodes can run at the same time when they don't depend on each other, making your workflows faster and more efficient.

Scheduled Execution

Set your workflows to run automatically at specific times - hourly, daily, weekly, or monthly. Perfect for recurring reports or maintenance tasks.

Execution History

Every time you run a workflow, AgentLoops saves the results. You can view past executions to see what happened, check outputs, and debug any issues.

How Workflows Work

1. Build: Add nodes to your workflow and connect them to define the flow of data
2. Configure: Set up each node with the specific settings it needs
3. Run: Execute your workflow and watch it process your data
4. Review: Check the results, outputs, and execution details

Common Use Cases

• Content Generation: Use AI models to generate text, images, or other content
• Data Processing: Transform, filter, and manipulate data
• Email Automation: Send emails based on triggers or conditions
• Multi-step Tasks: Chain together multiple operations to complete complex workflows

Getting Started

To learn more about working with workflows, check out these guides:

• Builder - Learn how to use the visual workflow builder
• Scheduling - Automate workflows to run at specific times
• Loop Mode - Understand how to process multiple items
• Execution Details - View and understand your workflow results

Example: Simple Text Processing Workflow

Here's a basic workflow that takes text input, processes it with AI, and outputs the result:

1. Start Node: Defines the input text
2. LLM Chat Node: Sends the text to an AI model for processing
3. Output Node: Displays or saves the AI's response

Each node passes its output to the next node, creating a simple but powerful automation.