> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent with Memory

> Enable user memories and session summaries for a Llama agent backed by PostgresDb.

## Code

```python memory.py theme={null}
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.meta import Llama
from rich.pretty import pprint

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

agent = Agent(
    model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
    user_id="test_user",
    session_id="test_session",
    # Pass the database to the Agent
    db=db,
    # Enable user memories
    update_memory_on_run=True,
    # Enable session summaries
    enable_session_summaries=True,
)

# -*- Share personal information
agent.print_response("My name is John Billings", stream=True)

# -*- Print memories and session summary
if agent.db:
    pprint(agent.get_user_memories(user_id="test_user"))
    pprint(
        agent.get_session(session_id="test_session").summary  # type: ignore
    )

# -*- Share personal information
agent.print_response("I live in NYC", stream=True)
# -*- Print memories and session summary
if agent.db:
    pprint(agent.get_user_memories(user_id="test_user"))
    pprint(
        agent.get_session(session_id="test_session").summary  # type: ignore
    )

# Ask about the conversation
agent.print_response(
    "What have we been talking about, do you know my name?", stream=True
)

```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Set your LLAMA API key">
    ```bash theme={null}
    export LLAMA_API_KEY=YOUR_API_KEY
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install sqlalchemy psycopg pgvector llama-api-client agno
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `memory.py`, then run:

    ```bash theme={null}
    python memory.py
    ```
  </Step>
</Steps>