Back to directory

RocketRide

An open-source AI Development Environment that turns a code editor into a place to build, debug and deploy LLM and machine learning pipelines, running on a multithreaded C++ engine with any model, tool or framework.

RocketRide

RocketRide is an open-source AI Development Environment: a data pipeline builder and runtime for AI and machine learning workloads that runs inside a code editor. Pipelines are built visually in VS Code, defined as portable JSON, and executed by a multithreaded C++ runtime, so what is built is production-ready as soon as it runs, entirely on the user's own infrastructure.

It provides more than 100 pipeline nodes spanning more than 15 LLM providers, 9 vector databases, OCR and named entity recognition, covering use cases from real-time data processing to multimodal AI search. A pipeline can be dropped into a Python or TypeScript application with a few lines of code, without extra infrastructure.

It ships as a VS Code extension, Python and TypeScript SDKs, an MCP server, and a Docker deployment path. The whole engine is MIT-licensed and open source, with no enterprise edition or paywalled features.

More in Models

See all 405
  • mini-AGI

    github.com

    A continual learning language model that trains from scratch on a single 8 GB VRAM GPU, assembling its own architecture and adapting its size to the hardware and data available rather than shipping as a fixed pretrained model.

  • An open-source contrastive-embedding pipeline that maps technical CVE vulnerability descriptions to formal cybersecurity compliance controls in NIST SP 800-53 and CMMC, published with its model generation, fine-tuning and evaluation code.

  • peekaboolean

    github.com

    A small vision-language model, fine-tuned with LoRA on a 500-million-parameter backbone, that answers typed multiple-choice, ordinal-score and yes/no questions about an image with calibrated probabilities, in about 400 milliseconds on a laptop.