> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Postgres Team Storage

Agno supports using PostgreSQL as a storage backend for Teams using the `PostgresStorage` class.

## Usage

### Run PgVector

Install [docker desktop](https://docs.docker.com/desktop/install/mac-install/) and run **PgVector** on port **5532** using:

```bash theme={null}
docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql/data/pgdata \
  -v pgvolume:/var/lib/postgresql/data \
  -p 5532:5432 \
  --name pgvector \
  agno/pgvector:16
```

```python postgres_storage_for_team.py theme={null}
"""
Run: `pip install openai duckduckgo-search newspaper4k lxml_html_clean agno` to install the dependencies
"""

from typing import List

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.storage.postgres import PostgresStorage
from agno.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
from pydantic import BaseModel

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"


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


hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIChat("gpt-4o"),
    role="Gets top stories from hackernews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    model=OpenAIChat("gpt-4o"),
    role="Searches the web for information on a topic",
    tools=[DuckDuckGoTools()],
    add_datetime_to_instructions=True,
)


hn_team = Team(
    name="HackerNews Team",
    mode="coordinate",
    model=OpenAIChat("gpt-4o"),
    members=[hn_researcher, web_searcher],
    storage=PostgresStorage(
        table_name="agent_sessions", db_url=db_url, auto_upgrade_schema=True
    ),
    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.",
    ],
    response_model=Article,
    show_tool_calls=True,
    markdown=True,
    debug_mode=True,
    show_members_responses=True,
)

hn_team.print_response("Write an article about the top 2 stories on hackernews")

```

## Params

<Snippet file="storage-postgres-params.mdx" />

## Developer Resources

* View [Cookbook](https://github.com/agno-agi/agno/blob/main/cookbook/storage/postgres_storage/postgres_storage_for_team.py)