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

# Introduction

> Deploy AI agents, crews, and workflows in seconds.

## What is Crewship?

Crewship is a **developer-first platform** for deploying and running AI agent workflows. It supports [CrewAI](https://docs.crewai.com), [LangGraph](https://langchain-ai.github.io/langgraph/) (Python), and [LangGraph.js](https://langchain-ai.github.io/langgraphjs/) out of the box, with a consistent deployment and invocation experience across all frameworks.

<CardGroup cols={2}>
  <Card title="Quick Deploy" icon="rocket" href="/quickstart">
    Deploy your first agent in under 5 minutes with a single command
  </Card>

  <Card title="Zero Config" icon="wand-magic-sparkles" href="/configuration/crewship-toml">
    Sensible defaults with optional configuration for advanced use cases
  </Card>

  <Card title="Real-time Streaming" icon="bolt" href="/guides/streaming">
    Stream agent events and logs in real-time via SSE
  </Card>

  <Card title="Artifacts" icon="file-export" href="/guides/artifacts">
    Automatic handling and storage of run outputs and generated files
  </Card>
</CardGroup>

## Supported Frameworks

| Framework                                                   | Language                | Framework ID   |
| ----------------------------------------------------------- | ----------------------- | -------------- |
| [CrewAI](https://docs.crewai.com)                           | Python                  | `crewai`       |
| [LangGraph](https://langchain-ai.github.io/langgraph/)      | Python                  | `langgraph`    |
| [LangGraph.js](https://langchain-ai.github.io/langgraphjs/) | TypeScript / JavaScript | `langgraph-js` |

## How It Works

Crewship abstracts away infrastructure complexity so you can focus on building great AI agents:

<Steps>
  <Step title="Write your agent">
    Build your agent locally using your framework of choice — CrewAI, LangGraph, or LangGraph.js
  </Step>

  <Step title="Deploy with one command">
    Run `crewship deploy` to build, package, and deploy your agent to the cloud
  </Step>

  <Step title="Invoke and stream">
    Trigger runs via CLI, API, or Console with real-time event streaming
  </Step>
</Steps>

## Next Steps

<CardGroup cols={2}>
  <Card title="Quickstart" icon="play" href="/quickstart">
    Deploy your first crew in 5 minutes
  </Card>

  <Card title="Core Concepts" icon="book" href="/concepts">
    Learn about deployments, runs, and artifacts
  </Card>
</CardGroup>