What are Workflows?

Workflows orchestrate agents, teams, and functions through defined steps for repeatable tasks.

A Workflow orchestrates agents, teams, and functions as a collection of steps. Steps can run sequentially, in parallel, in loops, or conditionally based on results. Output from each step flows to the next, creating a predictable pipeline for complex tasks.

Your First Workflow

Here’s a simple workflow that takes a topic, researches it, and writes an article:

from agno.agent import Agent
from agno.workflow import Workflow
from agno.tools.hackernews import HackerNewsTools

researcher = Agent(
    name="Researcher",
    instructions="Find relevant information about the topic",
    tools=[HackerNewsTools()]
)

writer = Agent(
    name="Writer",
    instructions="Write a clear, engaging article based on the research"
)

content_workflow = Workflow(
    name="Content Creation",
    steps=[researcher, writer]
)

content_workflow.print_response("Write an article about AI trends", stream=True)

When to Use Workflows

Use a workflow when:

• You need predictable, repeatable execution
• Tasks have clear sequential steps with defined inputs and outputs
• You want audit trails and consistent results across runs

Use a Team when you need flexible, collaborative problem-solving where agents coordinate dynamically.

What Can Be a Step?

Step Type	Description
Agent	Individual AI executor with specific tools and instructions
Team	Coordinated group of agents for complex sub-tasks
Function	Custom Python function for specialized logic
Workflow	Nested workflow for composable, reusable sub-pipelines

Controlling Workflows

Workflows support conditional logic, parallel execution, loops, and conversational interactions. See the guides below for details.

Guides

Build Workflows

Define steps, inputs, and outputs.

Run Workflows

Execute workflows and handle responses.

Conversational Workflows

Enable chat interactions on your workflows.

Developer Resources

• Workflow examples
• Workflow reference