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

# Introduction

> Schedy is a self-hostable, ultra-lightweight HTTP task scheduler - fire HTTP requests to any endpoint at any time, with headers, payloads, retries, and full status tracking.

Schedy schedules an HTTP request to any endpoint at any time - with headers, payloads, retries, and full status tracking.

It is a single Go binary with an embedded [BadgerDB](https://github.com/dgraph-io/badger) store. No external database, no message queue, no cron files. You talk to it over a small HTTP API, it fires your requests when they are due, and it keeps a record of what happened.

## Quick start

Run the server:

```bash theme={null}
docker run -p 8080:8080 ghcr.io/ksamirdev/schedy:latest
```

Schedule a task:

```bash theme={null}
curl -X POST http://localhost:8080/tasks \
  -H "Content-Type: application/json" \
  -d '{
    "execute_at": "2030-05-26T15:00:00Z",
    "url": "https://example.com/webhook",
    "payload": {"hello": "world"}
  }'
```

That's it - Schedy will `POST` your payload to the URL at the scheduled time and record the outcome.

## Explore

<CardGroup cols={2}>
  <Card title="Install & Run" icon="download" href="/installation">
    Docker, prebuilt binaries, Kubernetes, or build from source.
  </Card>

  <Card title="Status & History" icon="clock-rotate-left" href="/concepts/status">
    How every task reports what happened, attempt by attempt.
  </Card>

  <Card title="Retries" icon="rotate" href="/concepts/retries">
    Fixed or exponential backoff with full jitter.
  </Card>

  <Card title="API Reference" icon="code" href="/api/create">
    Every endpoint, field, and response code.
  </Card>
</CardGroup>