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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

Create a file called change_state_on_run.py
2

Add code to file

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")
3

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
4

Install libraries

pip install -U agno openai
5
Set OpenAI Key
6
Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.
7
Mac
export OPENAI_API_KEY=sk-***
Windows
setx OPENAI_API_KEY sk-***
8

Run the agent

python change_state_on_run.py
9

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Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub