> ## 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

> Give agents persistent memory across sessions.

Set `update_memory_on_run=True` to run `MemoryManager` on every agent run. The manager can create, update, or delete user memories based on the latest input.

## Code

```python agent_with_memory.py theme={null}
from uuid import uuid4

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from rich.pretty import pprint

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

db = PostgresDb(db_url=db_url)

db.clear_memories()

session_id = str(uuid4())
john_doe_id = "john_doe@example.com"

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    update_memory_on_run=True,
)

agent.print_response(
    "My name is John Doe and I like to hike in the mountains on weekends.",
    stream=True,
    user_id=john_doe_id,
    session_id=session_id,
)

agent.print_response(
    "What are my hobbies?", stream=True, user_id=john_doe_id, session_id=session_id
)

memories = agent.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
pprint(memories)

agent.print_response(
    "I don't like hiking anymore. I like to play soccer instead.",
    stream=True,
    user_id=john_doe_id,
    session_id=session_id,
)

memories = agent.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
pprint(memories)
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai sqlalchemy 'psycopg[binary]'
    ```
  </Step>

  <Step title="Run example">
    ```bash theme={null}
    python agent_with_memory.py
    ```
  </Step>
</Steps>