RocketRide
Focus on your app. We do the AI.
RocketRide launched on April 1, 2026 with 12 votes, #1,176 of 21,247 launches that month and more than 90% of that year's launches.
What it does
Building AI features today means navigating a maze of competing frameworks, juggling provider API keys, and wiring together components that were never designed to work as a system. Most engineers spend weeks on infrastructure before writing a single line of application logic. RocketRide is an open source, developer-native AI pipeline tool that changes that. Pipelines are first-class JSON objects. Models are interchangeable. The entire workflow lives in your IDE.
RocketRide is an open source AI pipeline platform built for developers. Compare LLMs, build multi-model workflows, and ship production-ready AI inside VS Code.
import { RocketRideClient } from 'rocketride' ; const client = new RocketRideClient({ uri: 'http://localhost: 5565 ' }); await client . connect (); const { token } = await client . use ({ filepath: './pipeline.json' }); const result = await client . send ( token, 'Hello, pipeline!' , { name: 'input.txt' }, 'text/plain' ); console.log( result ); await client . terminate (token); await client . disconnect (); Python SDK import asyncio from rocketride import RocketRideClient async def main (): async with RocketRideClient(uri= "http://localhost:5565" ) as client : # Run a pipeline result = await client . use (filepath= "pipeline.json" ) token = result [ "token" ] # Send data into the pipeline…from rocketride.org
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