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

# Share Member Interactions

> Set share_member_interactions to True so team members see and build on each other's responses.

Share member interactions within a team. When `share_member_interactions` is set to True, team members can see and build upon each other's responses, creating a collaborative workflow.

**1. Create a Python file**

```python share_member_interactions.py theme={null}
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools

db = SqliteDb(db_file="tmp/agents.db")

research_agent = Agent(
    name="Research Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[HackerNewsTools()],
    instructions="You are a research agent that finds information on HackerNews.",
)

report_agent = Agent(
    name="Report Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions="You are a report agent that writes reports from research.",
)

team = Team(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    members=[research_agent, report_agent],
    share_member_interactions=True,
    instructions=[
        "You are a team of agents that can research topics and write reports.",
        "First, research the topic using HackerNews.",
        "Then, use your report agent to write a report from the research.",
    ],
    show_members_responses=True,
)

team.print_response("What are the latest AI trends?", stream=True)
```

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

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai sqlalchemy
```

**3. Export your OpenAI API key**

<Snippet file="set-openai-key.mdx" />

**4. Run Team**

```bash theme={null}
python share_member_interactions.py
```


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