RocketRide – Build and run AI/data pipelines within VS Code, Cursor etc.

Very cool. Love that it runs fully local and integrates right into VS Code. Feels like the right direction for AI pipeline tooling. Will give it a spin!

Hey HN! We built RocketRide because we were tired of context-switching between our IDE and browser-based pipeline tools every time we needed to build or debug an AI workflow.

RocketRide is a VS Code extension backed by a high-performance C++ engine. You build pipelines visually inside your IDE using a .pipe file format, and the extension renders a canvas builder directly in VS Code. No browser tab. No separate app.

Under the hood: - C++ core with native multithreading — built for throughput, not demos - 50+ pipeline nodes: 13 LLM providers, 8 vector databases, OCR, NER, PII anonymization, and more - Multi-agent orchestration with CrewAI and LangChain built in - TypeScript, Python & MCP SDKs to integrate pipelines into your apps - Runs entirely on your own infrastructure (Docker/on-prem) — your data never leaves your machine

Quick start: install "RocketRide" from the VS Code marketplace, click the icon, and deploy a local server in one click.

We're two weeks post-launch and still rough around the edges, but the core engine is solid. Would love brutal feedback from HN — especially on the architecture and what you'd want to see in 50+ node library.

If you feel this is solving your problem/pain point in building pipelines, would love to review for our repo. It would mean the world to us!

Github: https://github.com/rocketride-org/rocketride-server Docs: https://docs.rocketride.org

Thank you Shashidhar. RocketRide was built to help developers (and their AI coding agents) build AI applications, workflows and automations easier and at production scale out of the box. It was made free and open source (independent governance by a non-profit foundation coming in mid-2026) so everyone can benefit and make it fit their needs. Give it a try and share your feedback, and if you think it's as cool as we do, give us a GitHub star. Thanks, and happy hacking!