JSON for Agent

Use JSON files as the database for an Agent.

Use JSON files as the database for an Agent. Useful for simple demos where performance is not critical.

json_for_agent.py

"""
Use JSON files as the database for an Agent.
Useful for simple demos where performance is not critical.

Run `uv pip install ddgs openai` to install dependencies."""

from agno.agent import Agent
from agno.db.json import JsonDb
from agno.models.openai import OpenAIChat
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = JsonDb(db_path="tmp/json_db")

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIChat(id="gpt-5.2"),
    db=db,
    session_id="session_storage",
    tools=[WebSearchTools()],
    add_history_to_context=True,
    num_history_runs=3,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("How many people live in France?")
    agent.print_response("What is their national anthem called?")
    agent.print_response("What have we been talking about?")

Run the Example

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno ddgs openai
   
3. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
4. Run the example

   Save the code above as json_for_agent.py, then run:

   python json_for_agent.py
   

Full source: cookbook/06_storage/json_db/json_for_agent.py