AI Briefing
KO

rocketride-server: Assemble and deploy AI pipelines directly in the IDE with a C++ engine

rocketride-org/rocketride-server

·2026.09.07 17:30

A development environment that lets you visually design and instantly run AI workflows via a VS Code extension. It transforms existing IDEs into AI Development Environments, handling pipeline creation, debugging, observation, and deployment in one place.

It supports over 100 pipeline nodes, more than 15 LLM providers, and 9 vector databases. Pipelines are saved in JSON format for version control, while a multi-threaded C++ runtime handles throughput to ensure production-grade performance.

Pipelines can be easily integrated into existing applications via Python and TypeScript SDKs. They run on various infrastructures, including Docker, on-premises, and RocketRide Cloud, allowing full control on your own infrastructure without vendor lock-in.

GitHub
GitHub repository

rocketride-org/rocketride-server

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

Python

This introduction was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.

Our guide explains how the AI works. Report errors, attribution issues, or removal requests via Contact.