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

# Concurrent Multi-User Multi-Session Chat

> This example runs multiple user conversations concurrently while persisting memory per user and session.

```python multi_user_multi_session_chat_concurrent.py theme={null}
"""
Concurrent Multi-User Multi-Session Chat
========================================

This example runs multiple user conversations concurrently while persisting
memory per user and session.
"""

import asyncio

from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)

user_1_id = "user_1@example.com"
user_2_id = "user_2@example.com"
user_3_id = "user_3@example.com"

user_1_session_1_id = "user_1_session_1"
user_1_session_2_id = "user_1_session_2"
user_2_session_1_id = "user_2_session_1"
user_3_session_1_id = "user_3_session_1"

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
chat_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    db=db,
    update_memory_on_run=True,
)


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def user_1_conversation() -> None:
    await chat_agent.arun(
        "My name is Mark Gonzales and I like anime and video games.",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )
    await chat_agent.arun(
        "I also enjoy reading manga and playing video games.",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )

    await chat_agent.arun(
        "I'm going to the movies tonight.",
        user_id=user_1_id,
        session_id=user_1_session_2_id,
    )

    await chat_agent.arun(
        "What do you suggest I do this weekend?",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )

    print("User 1 Done")


async def user_2_conversation() -> None:
    await chat_agent.arun(
        "Hi my name is John Doe.", user_id=user_2_id, session_id=user_2_session_1_id
    )
    await chat_agent.arun(
        "I'm planning to hike this weekend.",
        user_id=user_2_id,
        session_id=user_2_session_1_id,
    )
    print("User 2 Done")


async def user_3_conversation() -> None:
    await chat_agent.arun(
        "Hi my name is Jane Smith.", user_id=user_3_id, session_id=user_3_session_1_id
    )
    await chat_agent.arun(
        "I'm going to the gym tomorrow.",
        user_id=user_3_id,
        session_id=user_3_session_1_id,
    )
    print("User 3 Done")


async def run_concurrent_chat_agent() -> None:
    await asyncio.gather(
        user_1_conversation(), user_2_conversation(), user_3_conversation()
    )


if __name__ == "__main__":
    asyncio.run(run_concurrent_chat_agent())

    user_1_memories = chat_agent.get_user_memories(user_id=user_1_id)
    print("User 1's memories:")
    assert user_1_memories is not None
    for i, m in enumerate(user_1_memories):
        print(f"{i}: {m.memory}")

    user_2_memories = chat_agent.get_user_memories(user_id=user_2_id)
    print("User 2's memories:")
    assert user_2_memories is not None
    for i, m in enumerate(user_2_memories):
        print(f"{i}: {m.memory}")

    user_3_memories = chat_agent.get_user_memories(user_id=user_3_id)
    print("User 3's memories:")
    assert user_3_memories is not None
    for i, m in enumerate(user_3_memories):
        print(f"{i}: {m.memory}")
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai psycopg-binary sqlalchemy
    ```
  </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="Run the example">
    Save the code above as `multi_user_multi_session_chat_concurrent.py`, then run:

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

Full source: [cookbook/11\_memory/06\_multi\_user\_multi\_session\_chat\_concurrent.py](https://github.com/agno-agi/agno/blob/main/cookbook/11_memory/06_multi_user_multi_session_chat_concurrent.py)