---
slug: "rocketride"
name: "RocketRide"
effect: "Builds AI pipelines as portable JSON in VS Code and runs them on a C++ engine with Python nodes"
category: "agent-framework"
tier: "rising"
url: "https://rocketride.org"
github: "rocketride-org/rocketride-server"
pricing: "open-source"
license: "MIT"
tags: ["pipelines", "visual-builder", "vscode", "rag", "mcp", "python", "typescript"]
platforms: ["vscode", "docker"]
install_kind: "cli"
date_added: "2026-10-19"
rank: 33
rising_score: 43
stars: 17741
star_velocity: 71
velocity_basis: "since creation"
created_at: "2026-02-11T17:02:53Z"
pushed_at: "2026-10-19T06:00:54Z"
signals_status: "ok"
signals_fetched_at: "2026-10-19T11:39:01.362Z"
page: "https://agenttooldrop.com/tools/rocketride"
---

# RocketRide

Builds AI pipelines as portable JSON in VS Code and runs them on a C++ engine with Python nodes

Category: Agent frameworks. Tier: new and rising, rank 33 by new and rising score (43 of 100). Pricing: Open source. License: MIT.

Platforms: vscode, docker.

## Why you would want it

RocketRide is a data pipeline builder and runtime for AI and ML workloads. Pipelines are saved as portable .pipe JSON files, built on a visual canvas in VS Code and run by a multithreaded C++ runtime. The README reports 100+ nodes covering LLM providers, vector databases, OCR, NER and PII anonymization, and says all nodes are Python-extensible. An agent node is an LLM allowed to call other nodes in a loop, and the Python and TypeScript SDKs call a pipeline from your own app, with an MCP SDK that exposes pipelines as tools for AI assistants.

## Best for

- Visual LLM and RAG pipelines in VS Code
- Document processing on local models
- Calling pipelines from Python or TypeScript apps

## Use it when

You want AI workflows kept as diffable .pipe files that run on your own machine or in Docker, and that your Python or TypeScript code can call.

## Skip it if

You only need a lightweight agent library; RocketRide is an engine with a VS Code extension and a node catalog. Recent releases are tagged prerelease. LLM and tool nodes need API keys, and agent nodes can call tool nodes such as GitHub and Slack, so check which credentials a pipeline holds before running it. The README says an SDK client run outside the folder holding the extension's .env falls back to RocketRide Cloud, so confirm where a client points before sending private data.

## Editor note

The README Quick Start installs the RocketRide extension from the IDE marketplace and picks a Local or On-Premises server; the Docker block is the shell install. SDKs: pip install rocketride and npm install rocketride. A hosted RocketRide Cloud is also offered.

## Install

Pull and create the engine container with Docker:

```sh
docker pull ghcr.io/rocketride-org/rocketride-engine:latest
docker create --name rocketride-engine -p 5565:5565 ghcr.io/rocketride-org/rocketride-engine:latest
```

Source: https://github.com/rocketride-org/rocketride-server#building-your-first-pipe

## Live signals

Fetched 2026-10-19T11:39:01.362Z (status: ok).

- Repository: rocketride-org/rocketride-server
- Repository created: 2026-02-11
- Stars: 17,741 (GitHub's count; it cannot be authenticated)
- Stars per day, since repo creation: 71 (an average over the repo's life, not a growth rate)
- Forks: 7,515
- Open issues and PRs: 388
- License (GitHub): MIT
- Last push: 2026-10-19
- Latest release: vscode-v1.4.0 (2026-09-23)

## Links

- Website: https://rocketride.org
- GitHub: https://github.com/rocketride-org/rocketride-server
- Install instructions verified at: https://github.com/rocketride-org/rocketride-server#building-your-first-pipe
- Source for this entry: https://github.com/rocketride-org/rocketride-server#readme
- AgentToolDrop page: https://agenttooldrop.com/tools/rocketride
- Full catalog (JSON): https://agenttooldrop.com/tools.json