rocketride-server

<div align="center">

<a href="https://rocketride.org">
  <img src="images/poster.png" alt="RocketRide: Open Source AI Pipeline Tool" width="100%">
</a>

<p>
  <strong>RocketRide is the open source AIDE: the AI Development Environment.</strong><br/>
  Build, deploy and harness production-ready AI solutions at light speed, all within your IDE or using the CLI in your terminal.
</p>

<p>
<img src="https://raw.githubusercontent.com/rocketride-org/rocketride-server/develop/images/icon-cpp.png" alt="C++" />&nbsp;&nbsp;
<img src="https://raw.githubusercontent.com/rocketride-org/rocketride-server/develop/images/icon-python.png" alt="Python" />&nbsp;&nbsp;
<img src="https://raw.githubusercontent.com/rocketride-org/rocketride-server/develop/images/icon-typescript.png" alt="TypeScript" />
</p>

<p>
 Your code editor just became the AIDE. RocketRide turns the classic IDE you already use into a full <strong>AI Development Environment</strong>: one place to compose, debug, observe, and deploy AI runtimes using any model, any tool, any framework, with zero vendor lock-in. Equipped with deep observability and backed by a battle-tested, high-throughput C++ engine, what you build is production-ready the moment it runs. <strong>It's the harness for everything behind your AI applications, not just the agents, but the whole stack beneath them.</strong>
</p>

<p>
 Under the hood, RocketRide is an open source data pipeline builder and runtime built for AI and ML workloads. With 100+ pipeline nodes spanning 15+ LLM providers, 9 vector databases, OCR, NER, and more, pipelines are defined as portable JSON, built visually in VS Code, and executed by a multithreaded C++ runtime. From real-time data processing to multimodal AI search, RocketRide runs entirely on your own infrastructure.
</p>

<p>
  <a href="https://rocketride.org">Home</a> |
  <a href="https://docs.rocketride.org/">Documentation</a> |
  <a href="https://pypi.org/project/rocketride/">Python SDK</a> |
  <a href="https://www.npmjs.com/package/rocketride">TypeScript SDK</a> |
  <a href="https://pypi.org/project/rocketride-mcp/">MCP Server</a> |
  <a href="https://marketplace.visualstudio.com/items?itemName=RocketRide.rocketride">VS Code Marketplace</a> |
  <a href="https://open-vsx.org/extension/RocketRide/rocketride">Open VSX Registry</a>
</p>

<p>
  <a href="https://github.com/rocketride-org/rocketride-server/actions/workflows/ci.yml"><img src="https://github.com/rocketride-org/rocketride-server/actions/workflows/ci.yml/badge.svg" alt="CI"></a>
  <a href="https://github.com/rocketride-org/rocketride-server/releases"><img src="https://img.shields.io/github/v/release/rocketride-org/rocketride-server?filter=server-v*&label=Runtime&color=5f2167&logo=data:image/svg%2bxml;base64,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" alt="Runtime version"></a>
  <a href="https://discord.gg/PMXrtenMsY"><img src="https://img.shields.io/badge/Discord-Join-370b7a?logo=discord&logoColor=white" alt="Discord"></a>
  <a href="https://github.com/rocketride-org/rocketride-server/blob/develop/LICENSE"><img src="https://img.shields.io/badge/License-MIT-41b6e6" alt="MIT License"></a>
</p>

<img src="images/pipeline-example.png" alt="Build and run AI pipelines inside your IDE" width="100%">

_Design, test, and ship complex AI workflows from a visual canvas, right where you write code._

<img src="images/sdk-example.png" alt="Integrate real AI solutions using a simple SDK" width="100%">

_Drop pipelines into any Python or TypeScript app with a few lines of code, no infrastructure glue required._

</div>

## Where to start

<table>
<tr>
<td width="50%" valign="top" align="left"><strong>Run it locally</strong><br/><br/>Install the extension, pick <strong>Local</strong>, and run a pipeline on your own machine. Nothing to sign up for.<br/><br/><a href="#quick-start"><strong>Quick Start →</strong></a></td>
<td width="50%" valign="top" align="left"><strong>Shipping your first AI feature?</strong><br/><br/>Start from what you already know: a working pipeline in three steps, no API keys.<br/><br/><a href="#your-first-ai-feature"><strong>Start here →</strong></a></td>
</tr>
<tr>
<td valign="top" align="left"><strong>Want to contribute?</strong><br/><br/>Claim an issue with one comment, add a node in Python, or fix the docs you're reading.<br/><br/><a href="#contributing"><strong>Contributing →</strong></a></td>
<td valign="top" align="left"><strong>Want to run it without ops?</strong><br/><br/>We operate the engine; your <code>.pipe</code> runs unchanged, with nothing to provision.<br/><br/><a href="#rocketride-cloud-now-live"><strong>RocketRide Cloud →</strong></a></td>
</tr>
</table>

**Open source, MIT.** The whole engine is MIT-licensed and OSI-compliant. No enterprise edition, nothing behind a paywall.

## Features

| Feature                           | Description                                                                                                                                                                                                                          |
| :-------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Visual Pipeline Builder**       | Drag, connect, and configure nodes in VS Code, no boilerplate. Real-time observability tracks token usage, LLM calls, latency, and execution. Pipelines are portable JSON, version-controllable, shareable, and runnable anywhere. |
| **High-Performance C++ Runtime**  | Native multithreading purpose-built for the throughput demands of AI and data workloads. No bottlenecks, no compromises for production scale.                                                                                        |
| **100+ Pipeline Nodes**           | 15+ LLM providers, 9 vector databases, OCR, NER, PII anonymization, chunking strategies, embedding models, and more. All nodes are Python-extensible, build and publish your own.                                                    |
| **Multi-Agent Workflows**         | Built-in CrewAI and LangChain support. Chain agents, share memory across pipeline runs, and manage multi-step reasoning at scale.                                                                                                    |
| **Coding Agent Ready**            | RocketRide auto-detects your coding agent: Claude, Cursor, and more. Build, modify, and deploy pipelines through natural language.                                                                                                  |
| **TypeScript, Python & MCP SDKs** | Integrate pipelines into native apps, expose them as callable tools for AI assistants, or build programmatic workflows into your existing codebase.                                                                                  |
| **Zero Dependency Headaches**     | Python environments, C++ toolchains, Java/Tika, and all node dependencies managed automatically. Clone, build, run, no manual setup.                                                                                                |
| **One-Click Deploy**              | Run on Docker, on-prem, or [RocketRide Cloud](https://cloud.rocketride.ai/). Production-ready architecture from day one, not retrofitted from a demo.                                                                               |

## Quick Start

1. Install the extension for your IDE. Search for RocketRide in the extension marketplace:

   <p align="center">
     <img src="images/install-extension.png" alt="Install RocketRide extension">
   </p>

   <sub>[Not seeing your IDE? Open an issue](https://github.com/rocketride-org/rocketride-server/issues/new) · [Download directly](https://open-vsx.org/extension/RocketRide/rocketride)</sub>

2. Click the RocketRide extension in your IDE

3. Deploy a server - you'll be prompted on how you want to run the server. Choose the option that fits your setup:

   - **Local (Recommended)** - This pulls the server directly into your IDE without any additional setup.
   - **On-Premises** - Run the server on your own hardware for full control and data residency. Pull the image and deploy to Docker or clone this repo and [build from source](CONTRIBUTING.md#getting-started).

## Your first AI feature

_Whether you build web apps, integrate APIs, or run backend services, you already have t