> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Basic Slack Agent

> Create a basic AI agent that integrates with Slack for conversations

## Code

```python cookbook/os/interfaces/slack/basic.py theme={null}
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.slack import Slack

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

basic_agent = Agent(
    name="Basic Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    db=agent_db,
    add_history_to_context=True,
    num_history_runs=3,
    add_datetime_to_context=True,
)

agent_os = AgentOS(
    agents=[basic_agent],
    interfaces=[Slack(agent=basic_agent)],
)
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 SLACK_TOKEN=xoxb-your-bot-user-token
    export SLACK_SIGNING_SECRET=your-signing-secret
    export OPENAI_API_KEY=your_openai_api_key
    ```
  </Step>

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

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

## Key Features

* **Slack Integration**: Responds to direct messages and channel mentions
* **Conversation History**: Maintains context with last 3 interactions
* **Persistent Memory**: SQLite database for session storage
* **DateTime Context**: Time-aware responses
* **GPT-4o Powered**: Intelligent conversational capabilities