> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Async SQLite for Team

> Store team sessions and run history asynchronously in SQLite with AsyncSqliteDb.

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

## Usage

`AsyncSqliteDb` uses an async `db_engine`, then `db_url`, then `db_file`. A `db_url` must use an async driver such as `sqlite+aiosqlite`. If none is provided, it creates `agno.db` in the current directory. The following example uses `db_file`.

Install the `sqlalchemy` asyncio extra, `aiosqlite`, `openai`, and `ddgs`:

```shell theme={null}
uv pip install "sqlalchemy[asyncio]" aiosqlite openai ddgs
```

```python async_sqlite_for_team.py theme={null}
import asyncio
from typing import List

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
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 = AsyncSqliteDb(db_file="tmp/team.db")

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, provide a thoughtful and engaging summary.",
    ],
    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-sqlite-params.mdx" />