> ## 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.

# Registry for Non-Serializable Components

> Demonstrates using Registry to restore tools, models, and schemas when loading components from the database.

```python registry.py theme={null}
"""
Registry for Non-Serializable Components
========================================

Demonstrates using Registry to restore tools, models, and schemas when loading
components from the database.
"""

from agno.agent.agent import Agent, get_agent_by_id  # noqa: F401
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from agno.registry import Registry
from agno.tools.duckduckgo import DuckDuckGoTools
from pydantic import BaseModel

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


# ---------------------------------------------------------------------------
# Create Registry Schemas and Tools
# ---------------------------------------------------------------------------
class BasicInputSchema(BaseModel):
    message: str


class BasicOutputSchema(BaseModel):
    message: str


class ComplexInputSchema(BaseModel):
    message: str
    name: str
    age: int


def sample_tool():
    return "Hello, world!"


# ---------------------------------------------------------------------------
# Create Registry
# ---------------------------------------------------------------------------
registry = Registry(
    name="Agno Registry",
    description="Registry for Agno",
    tools=[DuckDuckGoTools(), sample_tool],
    models=[OpenAIChat(id="gpt-5-mini")],
    dbs=[db],
    schemas=[BasicInputSchema, BasicOutputSchema, ComplexInputSchema],
)

# ---------------------------------------------------------------------------
# Run Registry Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # Uncomment this during your first run to save the agent to the database
    agent = Agent(
        model=OpenAIChat(id="gpt-4o-mini"),
        db=db,
        tools=[DuckDuckGoTools(), sample_tool],
        output_schema=BasicOutputSchema,
    )
    agent.save()

    # agent = get_agent_by_id(db=db, id="registry-agent", registry=registry)
    # agent.print_response("Call the sample tool")
```

## Run the Example

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

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

  <Snippet file="run-pgvector-step.mdx" />

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

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

Full source: [cookbook/93\_components/registry.py](https://github.com/agno-agi/agno/blob/main/cookbook/93_components/registry.py)