​
Code

cookbook/os/interfaces/whatsapp/basic.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.os.interfaces.whatsapp import Whatsapp

agent_db = SqliteDb(db_file="tmp/persistent_memory.db")
basic_agent = Agent(
    name="Basic Agent",
    model=OpenAIChat(id="gpt-5-mini"),
    db=agent_db,
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    markdown=True,
)

agent_os = AgentOS(
    agents=[basic_agent],
    interfaces=[Whatsapp(agent=basic_agent)],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="basic:app", reload=True)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set Environment Variables

export WHATSAPP_ACCESS_TOKEN=your_whatsapp_access_token
export WHATSAPP_PHONE_NUMBER_ID=your_phone_number_id
export WHATSAPP_WEBHOOK_URL=your_webhook_url
export WHATSAPP_VERIFY_TOKEN=your_verify_token
export OPENAI_API_KEY=your_openai_api_key
export APP_ENV=development
3

Install libraries

pip install -U agno
4

Run Example

python cookbook/os/interfaces/whatsapp/basic.py

​
Key Features

  • WhatsApp Integration: Responds to messages automatically
  • Conversation History: Maintains context with last 3 interactions
  • Persistent Memory: SQLite database for session storage
  • DateTime Context: Time-aware responses
  • Markdown Support: Rich text formatting in messages