> ## 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.

# Persistent Session with History Context

> Store agent conversation history in PostgreSQL and limit how many past runs are added to the context with num_history_runs.

Store conversation history in the session and add a configurable number of previous runs to the agent context.

## Code

```python persistent_session_history.py theme={null}
"""
This example shows how to use the session history to store the conversation history.
add_history_to_context flag is used to add the history to the messages.
num_history_runs is used to set the number of history runs to add to the messages.
"""

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

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

db = PostgresDb(db_url=db_url, session_table="sessions")

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    db=db,
    add_history_to_context=True,
    num_history_runs=2,
)

agent.print_response("Tell me a new interesting fact about space")
```

## Usage

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

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

  <Step title="Set environment variables">
    ```bash theme={null}
    export OPENAI_API_KEY=****
    ```
  </Step>

  <Step title="Start PostgreSQL database">
    ```bash theme={null}
    ./cookbook/scripts/run_pgvector.sh
    ```
  </Step>

  <Step title="Run the agent">
    ```bash theme={null}
    python persistent_session_history.py
    ```
  </Step>
</Steps>