Agno supports using local JSON files as a storage backend for Agents using the JsonDb class.

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Usage

json_for_agent.py
"""Run `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.duckduckgo import DuckDuckGoTools

# Setup the JSON database
db = JsonDb(db_path="tmp/json_db")

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    db=db,
    tools=[DuckDuckGoTools()],
    add_history_to_context=True,
)
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem called?")

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Params

ParameterTypeDefaultDescription
db_pathOptional[str]-Path to the directory where JSON files will be stored.
session_tableOptional[str]-Name of the JSON file to store sessions (without .json extension).
memory_tableOptional[str]-Name of the JSON file to store memories.
metrics_tableOptional[str]-Name of the JSON file to store metrics.
eval_tableOptional[str]-Name of the JSON file to store evaluation runs.
knowledge_tableOptional[str]-Name of the JSON file to store knowledge content.

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Developer Resources