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

# Scheduler Tools

> Create and manage schedule records from a standalone agent; this page covers record operations only.

Use a standalone agent to create and manage schedule records in PostgreSQL. This page covers record operations only.

> [!WARNING]
>
> This standalone example creates schedule records but does not run an AgentOS scheduler. Its `scheduler-demo` endpoint is absent from the linked AgentOS example, which serves `scheduler-agent`. Use [Scheduler Tools Agent](https://agno-v2.mintlify.site/examples/agent-os/scheduler/scheduler-tools-agent.md) as a separate end-to-end setup instead of mixing the two examples.

```python scheduler_tools.py theme={null}
"""
Scheduler Tools
=============================

Give an agent the ability to create and manage recurring schedules.

The agent can convert natural language requests like "do this every day at 9am"
into cron-based schedules that run via the AgentOS scheduler infrastructure.

Prerequisites:
    pip install agno[scheduler]
    # A running AgentOS server with scheduler enabled
    # See cookbook/05_agent_os/12_scheduler/04_scheduler_tools_agent.py for full setup
"""

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from agno.tools.scheduler import SchedulerTools

# ---------------------------------------------------------------------------
# Database
# ---------------------------------------------------------------------------

db = PostgresDb(
    id="scheduler-tools-db",
    db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
)

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    id="scheduler-demo",
    model=OpenAIChat(id="gpt-5.6-luna"),
    tools=[
        SchedulerTools(
            db=db,
            default_endpoint="/agents/scheduler-demo/runs",
        ),
    ],
    instructions=["You are a helpful assistant that can schedule recurring tasks."],
    db=db,
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent.print_response(
        "Schedule a daily weather briefing every weekday at 8:30am EST"
    )
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U "agno[scheduler]" "psycopg[binary]" openai sqlalchemy
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

<Snippet file="run-pgvector-step.mdx" />

**3. Run the example**

Save the code above as `scheduler_tools.py`, then run:

```bash theme={null}
python scheduler_tools.py
```

Full source: [cookbook/91\_tools/scheduler\_tools.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/scheduler_tools.py)


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