agent_with_user_memory.py
"""
Telegram Agent with User Memory
================================
Personal assistant bot that remembers user preferences, hobbies, and
interests across conversations. Uses MemoryManager to automatically
capture and recall personal details from chat history.
Key concepts:
- ``MemoryManager`` with custom capture instructions extracts user info.
- ``enable_agentic_memory=True`` lets the agent store and retrieve memories.
- ``WebSearchTools`` provides live information for conversational context.
Setup: Set TELEGRAM_TOKEN env var from @BotFather.
"""
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.telegram import Telegram
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
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-2.0-flash"),
)
personal_agent = Agent(
name="Basic Agent",
model=Gemini(id="gemini-2.0-flash"),
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 themselves, their hobbies, what they like to do and what they like to talk about.
Use web search to find latest information about things in the conversations
"""),
)
agent_os = AgentOS(
agents=[personal_agent],
interfaces=[Telegram(agent=personal_agent)],
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
"""Run your AgentOS.
You can see the configuration and available apps at:
http://localhost:7777/config
"""
agent_os.serve(app="agent_with_user_memory:app", reload=True)
Run the Example
1
Set up your virtual environment
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[os,telegram]" ddgs google-genai
3
Export environment variables
export GOOGLE_API_KEY="your_google_api_key_here"
export TELEGRAM_TOKEN="your_telegram_token_here"
$Env:GOOGLE_API_KEY="your_google_api_key_here"
$Env:TELEGRAM_TOKEN="your_telegram_token_here"
4
Run the example
Save the code above as
agent_with_user_memory.py, then run:python agent_with_user_memory.py