save_agent.py
"""
Save Agent to Database
======================
Demonstrates creating an agent and saving it to the database.
"""
from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
id="agno-agent",
model=OpenAIChat(id="gpt-5-mini"),
name="Agno Agent",
db=db,
)
# ---------------------------------------------------------------------------
# Run Agent Save Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# agent.print_response("How many people live in Canada?")
# Save the agent to the database
version = agent.save()
print(f"Saved agent as version {version}")
# By default, saving a agent will create a new version of the agent
# Delete the agent from the database (soft delete by default)
# agent.delete()
# Hard delete (permanently removes from database)
# agent.delete(hard_delete=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 psycopg-binary 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 PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql/data/pgdata \
-v pgvolume:/var/lib/postgresql/data \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
5
Run the example
Save the code above as
save_agent.py, then run:python save_agent.py