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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

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Enable Agno agents to integrate with DuckDB for fast analytical queries (OLAP) on structured data.

from agno.agent import Agent
from agno.tools.duckdb import DuckDbTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


agent = Agent(
    tools=[DuckDbTools()],
    instructions="Use this file for Movies data: https://agno-public.s3.amazonaws.com/demo_data/IMDB-Movie-Data.csv",
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "What is the average rating of movies?", markdown=True, stream=False
    )

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python duckdb_tools.py
For details, see DuckDB cookbook.