This example demonstrates how to manage session state across different runs for different users. It shows how session state persists within the same session but is isolated between different sessions and users.

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Code

cookbook/agents/state/change_state_on_run.py
from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.models.openai import OpenAIChat

agent = Agent(
    db=InMemoryDb(),
    model=OpenAIChat(id="gpt-5-mini"),
    instructions="Users name is {user_name} and age is {age}",
    debug_mode=True,
)

# Sets the session state for the session with the id "user_1_session_1"
agent.print_response(
    "What is my name?",
    session_id="user_1_session_1",
    user_id="user_1",
    session_state={"user_name": "John", "age": 30},
)

# Will load the session state from the session with the id "user_1_session_1"
agent.print_response("How old am I?", session_id="user_1_session_1", user_id="user_1")

# Sets the session state for the session with the id "user_2_session_1"
agent.print_response(
    "What is my name?",
    session_id="user_2_session_1",
    user_id="user_2",
    session_state={"user_name": "Jane", "age": 25},
)

# Will load the session state from the session with the id "user_2_session_1"
agent.print_response("How old am I?", session_id="user_2_session_1", user_id="user_2")

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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 openai
3

Run Agent

python cookbook/agents/state/change_state_on_run.py