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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.
1

Create a Python file

change_state_on_run.py
from agno.agent import Agent
from agno.db.in_memory import InMemoryDb
from agno.models.openai import OpenAIResponses

agent = Agent(
    db=InMemoryDb(),
    model=OpenAIResponses(id="gpt-5.2"),
    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")
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 Agent

python change_state_on_run.py