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This example demonstrates how to enable agentic session state in teams and agents, allowing them to automatically manage and update their session state during interactions. The agents can modify the session state autonomously based on the conversation context.
1

Create a Python file

agentic_session_state.py
    from agno.agent import Agent
    from agno.db.sqlite import SqliteDb
    from agno.models.openai import OpenAIResponses
    from agno.team.team import Team

    db = SqliteDb(db_file="tmp/agents.db")
    shopping_agent = Agent(
        name="Shopping List Agent",
        role="Manage the shopping list",
        model=OpenAIResponses(id="gpt-5.2"),
        db=db,
        add_session_state_to_context=True,  # Required so the agent is aware of the session state
        enable_agentic_state=True,
    )

    team = Team(
        members=[shopping_agent],
        session_state={"shopping_list": []},
        db=db,
        add_session_state_to_context=True,  # Required so the team is aware of the session state
        enable_agentic_state=True,
        description="You are a team that manages a shopping list and chores",
        show_members_responses=True,
    )


    team.print_response("Add milk, eggs, and bread to the shopping list")

    team.print_response("I picked up the eggs, now what's on my list?")

print(f"Session state: {team.get_session_state()}")
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai
4

Export your OpenAI API key

​
Set OpenAI Key

Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.
export OPENAI_API_KEY=sk-***
5

Run Team

python agentic_session_state.py