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

# Research Team

> Serve a multi-agent Agno team over the AG-UI protocol.

## Code

```python cookbook/05_agent_os/interfaces/agui/research_team.py theme={null}
from agno.agent.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.agui import AGUI
from agno.team import Team
from agno.tools.websearch import WebSearchTools

researcher = Agent(
    name="researcher",
    role="Research Assistant",
    model=OpenAIResponses(id="gpt-5.4"),
    instructions="You are a research assistant. Find information and provide detailed analysis.",
    tools=[WebSearchTools()],
    markdown=True,
)

writer = Agent(
    name="writer",
    role="Content Writer",
    model=OpenAIResponses(id="gpt-5.4"),
    instructions="You are a content writer. Create well-structured content based on research.",
    tools=[WebSearchTools()],
    markdown=True,
)

research_team = Team(
    members=[researcher, writer],
    name="research_team",
    instructions="""
    You are a research team that helps users with research and content creation.
    First, use the researcher to gather information, then use the writer to create content.
    """,
    show_members_responses=True,
    get_member_information_tool=True,
    add_member_tools_to_context=True,
    add_history_to_context=True,
)

agent_os = AgentOS(
    teams=[research_team],
    interfaces=[AGUI(team=research_team)],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="research_team:app", reload=True, port=9001)
```

## Usage

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

  <Step title="Set Environment Variables">
    ```bash theme={null}
    export OPENAI_API_KEY=your_openai_api_key
    ```
  </Step>

  <Step title="Install Dependencies">
    ```bash theme={null}
    uv pip install 'agno[agui]' ddgs
    ```
  </Step>

  <Step title="Run Example">
    ```bash theme={null}
    python cookbook/05_agent_os/interfaces/agui/research_team.py
    ```
  </Step>
</Steps>

## Key Features

* **Multi-Agent Team**: Researcher and writer collaborate on one request
* **Specialized Roles**: Each member has a distinct role and instructions
* **Visible Members**: `show_members_responses=True` surfaces each member's output
* **Shared Tools**: Members use `WebSearchTools` for current information

## Setup Frontend

1. Clone the AG-UI repository: `git clone https://github.com/ag-ui-protocol/ag-ui.git`
2. Install the TypeScript SDK: `cd ag-ui/typescript-sdk && pnpm install`
3. Build the Agno integration: `cd integrations/agno && pnpm run build`
4. Start Dojo: `cd ../../apps/dojo && pnpm run dev`
5. Open `http://localhost:3000` and select the Agno integration