Composition: LearningMachine + FileSystem, One Deliberate Order

The point of the manual door: LearningMachine, FileSystem and your own system prompt compose in one order you can read off the page.

The point of the manual door: LearningMachine, FileSystem and your own system prompt compose in one order you can read off the page. Nothing is attached behind your back.

with_filesystem.py

"""
Composition: LearningMachine + FileSystem, One Deliberate Order
===============================================================
The point of the manual door: LearningMachine, FileSystem and your own
system prompt compose in one order you can read off the page. Nothing is
attached behind your back.

Run:
    .venvs/demo/bin/python cookbook/08_learning/11_composition/with_filesystem.py
"""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.fs import FileSystem
from agno.learn import LearningMachine, LearningMode, UserMemoryConfig
from agno.models.openai import OpenAIResponses

db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")

learning = LearningMachine(
    db=db,
    model=OpenAIResponses(id="gpt-5.5"),  # the manual door injects nothing
    user_memory=UserMemoryConfig(mode=LearningMode.AGENTIC),
)
fs = FileSystem(db, namespace="composition-notes")

USER_ID = "[e-mail]"

agent = Agent(
    model=OpenAIResponses(id="gpt-5.5"),
    db=db,
    tools=[*learning.get_tools(user_id=USER_ID), fs.tools()],
    instructions=[
        "You are a research assistant. Keep running notes on topics you research.",
        learning.instructions(),
        fs.instructions(),
    ],
    user_id=USER_ID,
    markdown=True,
)

if __name__ == "__main__":
    agent.print_response(
        "Note down: the vector-db comparison is due Friday. And remember that "
        "I want conclusions first in every summary.",
        stream=True,
    )
    print("\n--- files ---")
    for f in fs.list():
        print(f.path)

Run the Example

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
2. Install dependencies

   uv pip install -U agno "psycopg[binary]" openai sqlalchemy
   
3. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   
4. Run PgVector

   macOS / Linux

   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 with_filesystem.py, then run:

   python with_filesystem.py
   

Full source: cookbook/08_learning/11_composition/with_filesystem.py