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

# Async MongoDB for Workflow

> Store workflow sessions and run history asynchronously in MongoDB with AsyncMongoDb.

`AsyncMongoDb` stores a Workflow's sessions and run history asynchronously in MongoDB. Use async Workflow methods such as `arun()` and `aprint_response()`.

## Usage

Install the `pymongo` (4.9 or later), `openai`, and `ddgs` packages:

```shell theme={null}
uv pip install "pymongo>=4.9" openai ddgs
```

<Note>
  `motor` clients are also supported, but `motor` is deprecated. Use PyMongo's async client instead.
</Note>

### Run MongoDB

Install [Docker Desktop](https://docs.docker.com/get-started/get-docker/), then start MongoDB on port `27017`:

```bash theme={null}
docker run -d \
  --name local-mongo \
  -p 27017:27017 \
  -e MONGO_INITDB_ROOT_USERNAME=mongoadmin \
  -e MONGO_INITDB_ROOT_PASSWORD=secret \
  mongo
```

```python async_mongodb_for_workflow.py theme={null}
import asyncio

from agno.agent import Agent
from agno.db.mongo import AsyncMongoDb
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_url = "mongodb://mongoadmin:secret@localhost:27017"

db = AsyncMongoDb(db_url=db_url)

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",
)

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 that I have posts for 3 posts per week",
    ],
)

research_step = Step(
    name="Research Step",
    team=research_team,
)

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


async def 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],
    )
    try:
        await content_creation_workflow.aprint_response(
            input="AI trends in 2024",
            markdown=True,
        )
    finally:
        await db.close()


if __name__ == "__main__":
    asyncio.run(main())
```

## Parameters

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