basic.py
"""
Basic
=====
Demonstrates basic.
"""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.os.config import (
AgentOSConfig,
DatabaseConfig,
Manifest,
MemoryConfig,
MemoryDomainConfig,
)
from agno.team import Team
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# Setup the database
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai", id="db-0001")
db2 = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai2", id="db-0002")
# ---------------------------------------------------------------------------
# Create Agent, Team, And Workflow
# ---------------------------------------------------------------------------
basic_agent = Agent(
name="Marketing Agent",
db=db,
enable_session_summaries=True,
update_memory_on_run=True,
add_history_to_context=True,
num_history_runs=3,
add_datetime_to_context=True,
markdown=True,
)
basic_team = Team(
id="basic-team",
name="Basic Team",
model=OpenAIChat(id="gpt-4o"),
db=db,
members=[basic_agent],
update_memory_on_run=True,
)
basic_workflow = Workflow(
id="basic-workflow",
name="Basic Workflow",
description="Just a simple workflow",
db=db2,
steps=[
Step(
name="step1",
description="Just a simple step",
agent=basic_agent,
)
],
)
# Setup our AgentOS app
agent_os = AgentOS(
description="Your AgentOS",
id="basic-os",
agents=[basic_agent],
teams=[basic_team],
workflows=[basic_workflow],
# Configuration for the AgentOS
config=AgentOSConfig(
manifest={
"marketing-agent": Manifest(
description="Plans, runs and reports on marketing campaigns.",
labels=["beta", "marketing"],
quick_prompts=[
"What can you do?",
"How is our latest post working?",
"Tell me about our active marketing campaigns",
],
),
},
memory=MemoryConfig(
dbs=[
DatabaseConfig(
db_id=db.id,
domain_config=MemoryDomainConfig(
display_name="Main app user memories",
),
)
],
),
),
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
"""Run your AgentOS.
You can see the configuration and available endpoints at:
http://localhost:7777/config
"""
agent_os.serve(app="basic:app", reload=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[os]" openai psycopg-binary
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 \
-v pgvolume:/var/lib/postgresql \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
5
Run the example
Save the code above as
basic.py, then run:python basic.py