> ## 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 Team

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

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

## Usage

Provide either `db_url` or `db_client`. This example uses `db_url`.

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_team.py theme={null}
import asyncio
from typing import List

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 pydantic import BaseModel

db_url = "mongodb://mongoadmin:secret@localhost:27017"
db = AsyncMongoDb(db_url=db_url)


class Article(BaseModel):
    title: str
    summary: str
    reference_links: List[str]


hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Gets top stories from HackerNews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Searches the web for information on a topic",
    tools=[WebSearchTools()],
    add_datetime_to_context=True,
)

hn_team = Team(
    name="HackerNews Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[hn_researcher, web_searcher],
    db=db,
    instructions=[
        "First, search HackerNews for what the user is asking about.",
        "Then, ask the web searcher to search for each story to get more information.",
        "Finally, summarize each story and include its reference links.",
    ],
    output_schema=Article,
    markdown=True,
    show_members_responses=True,
)


async def main():
    try:
        await hn_team.aprint_response(
            "Write an article about the top 2 stories on HackerNews"
        )
    finally:
        await db.close()


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

## Parameters

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