learning_machine.py
"""
Learning Machine
=============================
Learning Machine.
"""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.learn import LearningMachine, LearningMode, UserProfileConfig
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
agent_db = SqliteDb(db_file="tmp/agents.db")
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
name="Learning Agent",
model=OpenAIResponses(id="gpt-5.2"),
db=agent_db,
learning=LearningMachine(
user_profile=UserProfileConfig(mode=LearningMode.AGENTIC),
),
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
user_id = "learning-demo-user"
agent.print_response(
"My name is Alex, and I prefer concise responses.",
user_id=user_id,
session_id="learning_session_1",
stream=True,
)
agent.print_response(
"What do you remember about me?",
user_id=user_id,
session_id="learning_session_2",
stream=True,
)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
learning_machine.py, then run:python learning_machine.py