This example demonstrates how to use in-memory session management with teams to maintain conversation context and history without requiring a persistent database.

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Code

cookbook/examples/teams/session/00_in_memory_session.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team import Team
from rich.pretty import pprint

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
)

team = Team(
    model=OpenAIChat(id="gpt-5-mini"),
    members=[agent],
)


# -*- Create a run
team.print_response("Share a 2 sentence horror story", stream=True)
# -*- Print the messages in the memory
pprint(
    [
        m.model_dump(include={"role", "content"})
        for m in agent.get_messages_for_session()
    ]
)

# -*- Ask a follow up question that continues the conversation
team.print_response("What was my first message?", stream=True)
# -*- Print the messages in the memory
pprint(
    [
        m.model_dump(include={"role", "content"})
        for m in agent.get_messages_for_session()
    ]
)

​
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 required libraries

pip install agno rich
3

Set environment variables

export OPENAI_API_KEY=****
4

Run the agent

python cookbook/examples/teams/session/00_in_memory_session.py