> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent Serialization

> Serialize an agent with to_dict and from_dict, and persist versions with save and load.

```python agent_serialization.py theme={null}
"""
Agent Serialization
=============================

Agent Serialization.
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
agent_db = SqliteDb(db_file="tmp/agents.db")

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    id="serialization-demo-agent",
    name="Serialization Demo Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    db=agent_db,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    config = agent.to_dict()
    recreated = Agent.from_dict(config)

    version = agent.save()
    loaded = Agent.load(id=agent.id, db=agent_db, version=version)

    recreated.print_response("Say hello from a recreated agent.", stream=True)
    loaded.print_response("Say hello from a loaded agent.", stream=True)
```

## Run the Example

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

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

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

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

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

Full source: [cookbook/02\_agents/14\_advanced/agent\_serialization.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/14_advanced/agent_serialization.py)