AI is progressing faster than any technology before it. But for engineers trained on systems, architecture, and code (not foundation models and inference infrastructure), that speed creates friction, not opportunity.
The challenge: exponential research growth, rapid model releases, fragmented ecosystems, constant tooling churn, and integration complexity have created a massive barrier to entry for engineers trying to build real AI systems.
We built RocketRide to tear that barrier down.
RocketRide is an open source, developer-native AI pipeline platform. The C++ engine is fully open, MIT-licensed, and designed so your IDE becomes the AI command center.
The core idea:
What you can build:
- Document reporting pipelines (handwritten OCR to SQL + LLM summaries)
- Multi-agent workflow automation (intake, classify, retrieve, resolve, route)
- Large-scale document intelligence (archives to RAG knowledge bases)
The engine handles concurrency, backpressure, and stage isolation at petabyte scale. Pipelines are JSON files. SDKs connect via WebSocket. 50+ built-in nodes cover processing, models, agents, and data integrations.
Stack: C++ 49.6%, Python 24.7%, TypeScript 17.6%. Only prerequisite: Node.js 18+.
Linux Foundation member. Agentic AI Foundation member.
Install the extension: rocketride.org
Star the Repo: github.com/rocketride-org/rocketride-server
We're building in the open. Come shape what's next.
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