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rocketride-org
rocketride-server
Python2026–2026
rocketride-org / rocketride-server

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.

2Distinct people
3Mentions
0Explicit recommenders
20.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

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.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour3 dated mentions

Observed mentions: 2026-03-17 17:36:21 UTC to 2026-03-18 12:32:56 UTC.

0122026-03-17 17:00:00 UTC to 2026-03-17 18:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsMar 17, 17:002026-03-17 18:00:00 UTC to 2026-03-17 19:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-17 19:00:00 UTC to 2026-03-17 20:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-17 20:00:00 UTC to 2026-03-17 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-17 21:00:00 UTC to 2026-03-17 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-17 22:00:00 UTC to 2026-03-17 23:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-17 23:00:00 UTC to 2026-03-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 00:00:00 UTC to 2026-03-18 01:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 01:00:00 UTC to 2026-03-18 02:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 02:00:00 UTC to 2026-03-18 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 18, 02:002026-03-18 03:00:00 UTC to 2026-03-18 04:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 04:00:00 UTC to 2026-03-18 05:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 05:00:00 UTC to 2026-03-18 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 06:00:00 UTC to 2026-03-18 07:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 07:00:00 UTC to 2026-03-18 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 08:00:00 UTC to 2026-03-18 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 09:00:00 UTC to 2026-03-18 10:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 10:00:00 UTC to 2026-03-18 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 11:00:00 UTC to 2026-03-18 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-18 12:00:00 UTC to 2026-03-18 13:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 18, 12:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Mar 17, 17:002026-03-17 17:00:00 UTC2026-03-17 18:00:00 UTC211
Mar 17, 18:002026-03-17 18:00:00 UTC2026-03-17 19:00:00 UTC000
Mar 17, 19:002026-03-17 19:00:00 UTC2026-03-17 20:00:00 UTC000
Mar 17, 20:002026-03-17 20:00:00 UTC2026-03-17 21:00:00 UTC000
Mar 17, 21:002026-03-17 21:00:00 UTC2026-03-17 22:00:00 UTC000
Mar 17, 22:002026-03-17 22:00:00 UTC2026-03-17 23:00:00 UTC000
Mar 17, 23:002026-03-17 23:00:00 UTC2026-03-18 00:00:00 UTC000
Mar 18, 00:002026-03-18 00:00:00 UTC2026-03-18 01:00:00 UTC000
Mar 18, 01:002026-03-18 01:00:00 UTC2026-03-18 02:00:00 UTC000
Mar 18, 02:002026-03-18 02:00:00 UTC2026-03-18 03:00:00 UTC000
Mar 18, 03:002026-03-18 03:00:00 UTC2026-03-18 04:00:00 UTC000
Mar 18, 04:002026-03-18 04:00:00 UTC2026-03-18 05:00:00 UTC000
Mar 18, 05:002026-03-18 05:00:00 UTC2026-03-18 06:00:00 UTC000
Mar 18, 06:002026-03-18 06:00:00 UTC2026-03-18 07:00:00 UTC000
Mar 18, 07:002026-03-18 07:00:00 UTC2026-03-18 08:00:00 UTC000
Mar 18, 08:002026-03-18 08:00:00 UTC2026-03-18 09:00:00 UTC000
Mar 18, 09:002026-03-18 09:00:00 UTC2026-03-18 10:00:00 UTC000
Mar 18, 10:002026-03-18 10:00:00 UTC2026-03-18 11:00:00 UTC000
Mar 18, 11:002026-03-18 11:00:00 UTC2026-03-18 12:00:00 UTC000
Mar 18, 12:002026-03-18 12:00:00 UTC2026-03-18 13:00:00 UTC101

What Hacker News says

3 sources
Hey HN, I'm Joshua from RocketRide. We built an open source AI pipeline platform that turns your IDE into an AI command center. The problem: building AI features means weeks of infrastructure plumbing before writing application logic. RocketRide eliminates that with composable pipelines, a unified API, and one-click deploy. The C++ engine handles concurrency, backpressure, and stage isolation at petabyte scale. Pipelines are JSON. 50+ built-in nodes cover OCR, transcription, summarization, redaction, chunking, embedding, plus model integrations (Claude, GPT, Gemini, Grok). MCP server exposes pipelines as tools for Claude/Cursor/Windsurf. Stack: C++ 49.6%, Python 24.7%, TypeScript 17.6%. MIT license. Only prereq: Node.js 18+. Donated by Aparavi after years of enterprise AI deployments. Linux Foundation and Agentic AI Foundation member. Rep
Read the rest
o: https://github.com/rocketride-org/rocketride-server Docs: https://docs.rocketride.org Happy to answer questions about the architecture, design decisions, or roadmap.
In IDE Runs Your Code. Now It Runs Your AI
Hey HN! We built RocketRide because we were tired of context-switching between our IDE and browser-based pipeline tools every time we needed to build or debug an AI workflow. RocketRide is a VS Code extension backed by a high-performance C++ engine. You build pipelines visually inside your IDE using a .pipe file format, and the extension renders a canvas builder directly in VS Code. No browser tab. No separate app. Under the hood: - C++ core with native multithreading — built for throughput, not demos - 50+ pipeline nodes: 13 LLM providers, 8 vector databases, OCR, NER, PII anonymization, and more - Multi-agent orchestration with CrewAI and LangChain built in - TypeScript, Python & MCP SDKs to integrate pipelines into your apps - Runs entirely on your own infrastructure (Docker/on-prem) — your data never leaves your machine Qui
Read the rest
ck start: install "RocketRide" from the VS Code marketplace, click the icon, and deploy a local server in one click. We're two weeks post-launch and still rough around the edges, but the core engine is solid. Would love brutal feedback from HN — especially on the architecture and what you'd want to see in 50+ node library. If you feel this is solving your problem/pain point in building pipelines, would love to review for our repo. It would mean the world to us! Github: https://github.com/rocketride-org/rocketride-server Docs: https://docs.rocketride.org
In RocketRide – Build and run AI/data pipelines within VS Code, Cursor etc.

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