rocketride-org/rocketride-server

Health v2 · maintenance only

Adoption not part of the score

7090 stars · 2753 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

RocketRide is an open-source AI pipeline engine with a high-throughput C++ runtime and 100+ Python-extensible nodes for building, debugging, and deploying LLM and ML workflows. It integrates with your IDE via a VS Code extension, offers TypeScript/Python SDKs and an MCP server, and runs entirely on your own infrastructure with Docker deployment.

Use cases

• build and debug LLM workflows from my IDE
• orchestrate AI agents with multiple model providers
• run RAG pipelines with vector databases on my own infrastructure
• process documents with OCR and NER in a data pipeline
• deploy production AI pipelines with Docker
• visually compose AI pipelines in VS Code
• connect AI tools to my editor via MCP

When to choose

• you need a self-hosted, vendor-neutral AI pipeline runtime with deep observability
• you want to build, debug, and deploy LLM workflows without leaving your IDE
• you need high-throughput data processing for AI/ML workloads with a C++ core
• you want broad model provider and vector database support in one engine

When to avoid

• you only need a simple single-model LLM API wrapper
• you prefer fully managed cloud AI orchestration without self-hosting
• your stack is limited to pure Python and a C++ runtime is unnecessary overhead

Facets

framework · maturity active

etl rag agent-framework llm-inference machine-learning nlp ocr vector-database workflow-automation mcp developer-tools artificial-intelligence large-language-models machine-learning developer-tools self-hosted self-hosted python cpp editor-plugin cli cross-platform ai-pipeline aide vscode-extension data-pipeline llm-workflows vector-search -pipelines sdk retrieval-augmented-generation ai-agents data-engineering docker nodejs

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markdown · JSON · MCP: product_card(name="rocketride-org/rocketride-server")