This example shows how to run a multi-user, multi-session chat concurrently. In this example, we have 3 users and 4 sessions:

  • User 1 has 2 sessions.
  • User 2 has 1 session.
  • User 3 has 1 session.

Code

cookbook/agent_concepts/memory/12_multi_user_multi_session_chat_concurrent.py
import asyncio

from agno.agent.agent import Agent
from agno.memory.v2.db.sqlite import SqliteMemoryDb
from agno.memory.v2.memory import Memory
from agno.models.anthropic.claude import Claude
from agno.models.google.gemini import Gemini
from agno.storage.sqlite import SqliteStorage

agent_storage = SqliteStorage(
    table_name="agent_sessions", db_file="tmp/persistent_memory.db"
)
memory_db = SqliteMemoryDb(table_name="memory", db_file="tmp/memory.db")

memory = Memory(model=Claude(id="claude-3-5-sonnet-20241022"), db=memory_db)

# Reset the memory for this example
memory.clear()

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"

chat_agent = Agent(
    model=Gemini(id="gemini-2.0-flash-exp"),
    storage=agent_storage,
    memory=memory,
    enable_user_memories=True,
)


async def user_1_conversation():
    """Handle conversation with user 1 across multiple sessions"""
    # User 1 - Session 1
    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,
    )

    # User 1 - Session 2
    await chat_agent.arun(
        "I'm going to the movies tonight.",
        user_id=user_1_id,
        session_id=user_1_session_2_id,
    )

    # Continue the conversation in session 1
    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():
    """Handle conversation with user 2"""
    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():
    """Handle conversation with user 3"""
    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():
    """Run all user conversations concurrently"""
    await asyncio.gather(
        user_1_conversation(), user_2_conversation(), user_3_conversation()
    )


if __name__ == "__main__":
    # Run all conversations concurrently
    asyncio.run(run_concurrent_chat_agent())

    user_1_memories = memory.get_user_memories(user_id=user_1_id)
    print("User 1's memories:")
    for i, m in enumerate(user_1_memories):
        print(f"{i}: {m.memory}")

    user_2_memories = memory.get_user_memories(user_id=user_2_id)
    print("User 2's memories:")
    for i, m in enumerate(user_2_memories):
        print(f"{i}: {m.memory}")

    user_3_memories = memory.get_user_memories(user_id=user_3_id)
    print("User 3's memories:")
    for i, m in enumerate(user_3_memories):
        print(f"{i}: {m.memory}")

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.

python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno google-generativeai anthropic
3

Set your API keys

export GOOGLE_API_KEY=xxx
4

Run Example

python cookbook/agent_concepts/memory/12_multi_user_multi_session_chat_concurrent.py