WhatsApp Agent with User Memory

Personalized WhatsApp agent that remembers user information and preferences

Code

agent_with_user_memory.py

from textwrap import dedent
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.memory.manager import MemoryManager
from agno.models.google import Gemini
from agno.os.app import AgentOS
from agno.os.interfaces.whatsapp import Whatsapp
from agno.tools.websearch import WebSearchTools

agent_db = SqliteDb(db_file="tmp/persistent_memory.db")

memory_manager = MemoryManager(
    memory_capture_instructions="""\
                    Collect User's name,
                    Collect Information about user's passion and hobbies,
                    Collect Information about the users likes and dislikes,
                    Collect information about what the user is doing with their life right now
                """,
    model=Gemini(id="gemini-flash-latest"),
)

personal_agent = Agent(
    name="Basic Agent",
    model=Gemini(id="gemini-flash-latest"),
    tools=[WebSearchTools()],
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    markdown=True,
    db=agent_db,
    memory_manager=memory_manager,
    enable_agentic_memory=True,
    instructions=dedent("""
        You are a personal AI friend of the user, your purpose is to chat with the user about things and make them feel good.
        First introduce yourself and ask for their name then, ask about themeselves, their hobbies, what they like to do and what they like to talk about.
        Use DuckDuckGo search tool to find latest information about things in the conversations
    """),
)

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

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

Usage

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. Set Environment Variables

   export WHATSAPP_ACCESS_TOKEN=your_access_token
   export WHATSAPP_PHONE_NUMBER_ID=your_phone_number_id
   export WHATSAPP_VERIFY_TOKEN=your_verify_token
   export WHATSAPP_SKIP_SIGNATURE_VALIDATION=true  # For local dev
   export GOOGLE_API_KEY=your_google_api_key
   

   See the WhatsApp setup guide for how to get these values from the Meta Developer Dashboard.

3. Install dependencies

   uv pip install -U "agno[os]" google-genai ddgs
   
4. Run Example

   python agent_with_user_memory.py
   

Key Features

• Memory Management: Remembers user names, hobbies, preferences, and activities
• Web Search: Access to current information during conversations
• Personalized Responses: Uses stored memories for contextualized replies
• Friendly AI: Acts as a personal AI friend that asks about the user’s hobbies and interests
• Gemini Powered: Uses Gemini for both the agent and the memory manager