> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-docs-scavio-google-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# DynamoDB for Workflow

> Store workflow runs in DynamoDB with DynamoDb.

`DynamoDb` stores a Workflow's sessions and run history in DynamoDB.

## Usage

Pass a configured DynamoDB client as `db_client`. Otherwise, set the `AWS_REGION`, `AWS_ACCESS_KEY_ID`, and `AWS_SECRET_ACCESS_KEY` environment variables or pass `region_name`, `aws_access_key_id`, and `aws_secret_access_key` directly.

On first use, `DynamoDb` creates missing tables with provisioned capacity. The client or credentials must allow table creation and read/write operations.

Install dependencies:

```shell theme={null}
uv pip install agno boto3 openai ddgs
```

```python dynamo_for_workflow.py theme={null}
from agno.agent import Agent
from agno.db.dynamo import DynamoDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow

db = DynamoDb()

# Define agents
hackernews_agent = Agent(
    name="HackerNews Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    role="Extract key insights and content from HackerNews posts",
)
web_agent = Agent(
    name="Web Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[WebSearchTools()],
    role="Search the web for the latest news and trends",
)

# Define research team for complex analysis
research_team = Team(
    name="Research Team",
    members=[hackernews_agent, web_agent],
    instructions="Research tech topics from HackerNews and the web",
)

content_planner = Agent(
    name="Content Planner",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "Plan a content schedule over 4 weeks for the provided topic and research content",
        "Ensure there are 3 posts per week",
    ],
)

# Define steps
research_step = Step(
    name="Research Step",
    team=research_team,
)

content_planning_step = Step(
    name="Content Planning Step",
    agent=content_planner,
)

# Create and use workflow
if __name__ == "__main__":
    content_creation_workflow = Workflow(
        name="Content Creation Workflow",
        description="Automated content creation from blog posts to social media",
        db=db,
        steps=[research_step, content_planning_step],
    )
    content_creation_workflow.print_response(
        input="Recent AI trends",
        markdown=True,
    )
```

## Parameters

<Snippet file="db-dynamodb-params.mdx" />