Build, debug, and deploy AI pipelines - without leaving your IDE.
Quick Start
Install the RocketRide extension from the VS Code Marketplace
Click the RocketRide icon in the Activity Bar
Create a .pipe file - it opens automatically in the visual canvas builder
Wire up nodes by connecting input and output lanes, then hit Play to run
What is RocketRide?
RocketRide is an open-source, developer-native AI pipeline platform.
It lets you build, debug, and deploy production AI workflows without leaving your IDE -
using a visual drag-and-drop canvas or code-first with TypeScript and Python SDKs.
You build your .pipe - and you run it against the fastest AI runtime available.
50+ ready-to-use nodes - 13 LLM providers, 8 vector databases, OCR, NER, PII anonymization, and more
High-performance C++ engine - production-grade speed and reliability
Deploy anywhere - locally, on-premises, or self-hosted with Docker
MIT licensed - fully open-source, OSI-compliant
Features
Visual canvas builder - Drag, drop, and wire up AI workflows directly in VS Code. Create .pipe files to get started.
Debugging & live traces - Monitor running pipelines in real time with execution traces, token usage, and memory stats — see exactly what your agents are doing at every step.
Connection manager - Connect to a local engine (one click, no setup) or your own on-premises server.
SDKs for TypeScript, Python & MCP - Embed pipelines in your apps or expose them as tools for AI assistants.
