rocketride-org/rocketride-server

Build, deploy and harness production-ready AI solutions at light speed, all within your IDE or using the CLI in your terminal.
  
  
Your code editor just became the AIDE. RocketRide turns the classic IDE you already use into a full AI Development Environment : 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. It's the harness for everything behind your AI applications, not just the agents, but the whole stack beneath them.
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.
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_Design, test, and ship complex AI workflows from a visual canvas, right where you write code._
_Drop pipelines into any Python or TypeScript app with a few lines of code, no infrastructure glue required._
Where to start
Run it locally Install the extension, pick Local , and run a pipeline on your own machine. Nothing to sign up for. Quick Start →
Shipping your first AI feature? Start from what you already know: a working pipeline in three steps, no API keys. Start here →
Want to contribute? Claim an issue with one comment, add a node in Python, or fix the docs you're reading. Contributing →
Want to run it without ops? We operate the engine; your .pipe runs unchanged, with nothing to provision. RocketRide Cloud →
**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. 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: