rocketride-server
RocketRide is an open-source, developer-native data pipeline builder and runtime for AI and ML workloads. You build, debug and deploy AI workflows without leaving your IDE: pipelines are drawn on a visual canvas in VS Code and stored as portable JSON that can be version-controlled and shared, then dropped into Python or TypeScript apps with a few lines of code.
The README lists a visual pipeline builder with real-time observability of token usage, LLM calls, latency and execution, a high-performance C++ runtime with native multithreading, and 50+ nodes covering 13 LLM providers, 8 vector databases, OCR, NER, PII anonymisation, chunking and embedding models, all extensible in Python. Multi-agent workflows are supported through built-in CrewAI and LangChain integration, with chained agents and memory shared across runs. Python and TypeScript SDKs and an MCP server are provided, and the licence is MIT.
Features
Why choose it
Trade-offs
Maintenance check
- Last commit
- 2026-10-20
- Commits, last 90 days
- 100+
- Releases, last 90 days
- 14
- Latest release
- vscode-v1.5.0-prerelease (2026-10-20)
- Open issues
- 412
- Recent issues with at least one comment
- 28/29
Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.
Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.
Compatibility
Quick start
Use cases
Alternatives
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