Code

cookbook/agent_concepts/memory/13_multi_user_multi_session_chat.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.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(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 run_chat_agent():
    await chat_agent.aprint_response(
        "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.aprint_response(
        "I also enjoy reading manga and playing video games.",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )

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

    # Chat with user 2
    await chat_agent.aprint_response(
        "Hi my name is John Doe.", user_id=user_2_id, session_id=user_2_session_1_id
    )
    await chat_agent.aprint_response(
        "I'm planning to hike this weekend.",
        user_id=user_2_id,
        session_id=user_2_session_1_id,
    )

    # Chat with user 3
    await chat_agent.aprint_response(
        "Hi my name is Jane Smith.", user_id=user_3_id, session_id=user_3_session_1_id
    )
    await chat_agent.aprint_response(
        "I'm going to the gym tomorrow.",
        user_id=user_3_id,
        session_id=user_3_session_1_id,
    )

    # Continue the conversation with user 1
    # The agent should take into account all memories of user 1.
    await chat_agent.aprint_response(
        "What do you suggest I do this weekend?",
        user_id=user_1_id,
        session_id=user_1_session_1_id,
    )


if __name__ == "__main__":
    # Chat with user 1 - Session 1
    asyncio.run(run_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

Set your API keys

export GOOGLE_API_KEY=xxx
3

Install libraries

pip install -U agno google-generativeai anthropic
4

Run Example

python cookbook/agent_concepts/memory/13_multi_user_multi_session_chat.py