> ## 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.

# AgentOS Demo

> Serve an AgentOS with a docs-MCP agent over PgVector knowledge plus a Postgres-backed web research team.

Authentication is optional. Set `OS_SECURITY_KEY` to enable it for this AgentOS.

```python demo.py theme={null}
"""
AgentOS Demo

Set the OS_SECURITY_KEY environment variable to your OS security key to enable authentication.

Prerequisites:
uv pip install -U fastapi uvicorn sqlalchemy pgvector psycopg openai ddgs yfinance
"""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.knowledge.knowledge import Knowledge
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.team import Team
from agno.tools.mcp import MCPTools
from agno.tools.websearch import WebSearchTools
from agno.vectordb.pgvector import PgVector

# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------

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

# Create Postgres-backed memory store
db = PostgresDb(db_url=db_url)

# Create Postgres-backed vector store
vector_db = PgVector(
    db_url=db_url,
    table_name="agno_docs",
)
knowledge = Knowledge(
    name="Agno Docs",
    contents_db=db,
    vector_db=vector_db,
)

# Create your agents
agno_agent = Agent(
    name="Agno Agent",
    model=OpenAIChat(id="gpt-4.1"),
    tools=[MCPTools(transport="streamable-http", url="https://docs.agno.com/mcp")],
    db=db,
    update_memory_on_run=True,
    knowledge=knowledge,
    markdown=True,
)

simple_agent = Agent(
    name="Simple Agent",
    role="Simple agent",
    id="simple_agent",
    model=OpenAIChat(id="gpt-5.2"),
    instructions=["You are a simple agent"],
    db=db,
    update_memory_on_run=True,
)

research_agent = Agent(
    name="Research Agent",
    role="Research agent",
    id="research_agent",
    model=OpenAIChat(id="gpt-5.2"),
    instructions=["You are a research agent"],
    tools=[WebSearchTools()],
    db=db,
    update_memory_on_run=True,
)

# Create a team
research_team = Team(
    name="Research Team",
    description="A team of agents that research the web",
    members=[research_agent, simple_agent],
    model=OpenAIChat(id="gpt-4.1"),
    id="research_team",
    instructions=[
        "You are the lead researcher of a research team.",
    ],
    db=db,
    update_memory_on_run=True,
    add_datetime_to_context=True,
    markdown=True,
)

# Create the AgentOS
agent_os = AgentOS(
    id="agentos-demo",
    agents=[agno_agent],
    teams=[research_team],
)
app = agent_os.get_app()


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent_os.serve(app="demo:app", port=7777, reload=True)
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[mcp,os]" "psycopg[binary]" ddgs openai pgvector
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Snippet file="run-pgvector-step.mdx" />

  <Step title="Optional: enable authentication">
    Set `OS_SECURITY_KEY` before running to require AgentOS authentication. Leave it unset to run without authentication.
  </Step>

  <Step title="Run the example">
    Save the code above as `demo.py`, then run:

    ```bash theme={null}
    python demo.py
    ```
  </Step>
</Steps>

Full source: [cookbook/05\_agent\_os/demo.py](https://github.com/agno-agi/agno/blob/main/cookbook/05_agent_os/demo.py)