> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Basic Telegram Agent

> Gemini agent with session persistence on Telegram

## Code

```python basic.py theme={null}
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.google import Gemini
from agno.os.app import AgentOS
from agno.os.interfaces.telegram import Telegram

agent_db = SqliteDb(session_table="telegram_sessions", db_file="tmp/telegram_basic.db")

telegram_agent = Agent(
    name="Telegram Bot",
    model=Gemini(id="gemini-2.5-pro"),
    db=agent_db,
    instructions=[
        "You are a helpful assistant on Telegram.",
        "Keep responses concise and friendly.",
        "When in a group, you respond only when mentioned with @.",
    ],
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
    markdown=True,
)

agent_os = AgentOS(
    agents=[telegram_agent],
    interfaces=[
        Telegram(
            agent=telegram_agent,
            reply_to_mentions_only=True,
        )
    ],
)
app = agent_os.get_app()

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

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Set Environment Variables">
    ```bash theme={null}
    export TELEGRAM_TOKEN=your-bot-token-from-botfather
    export GOOGLE_API_KEY=your-google-api-key
    export APP_ENV=development
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[telegram]"
    ```
  </Step>

  <Step title="Run Example">
    ```bash theme={null}
    python basic.py
    ```
  </Step>
</Steps>

## Key Features

* **Telegram Integration**: Responds to direct messages and group @mentions
* **Conversation History**: Maintains context with last 3 interactions
* **Persistent Memory**: SQLite database for session storage
* **Group Chat Support**: Only responds when mentioned in groups
* **DateTime Context**: Time-aware responses