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.

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Code

cookbook/examples/teams/state/agentic_session_state.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
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=OpenAIChat(id="gpt-5-mini"),
    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()}")

​
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 openai
3

Set environment variables

export OPENAI_API_KEY=****
4

Run the agent

python cookbook/examples/teams/state/agentic_session_state.py