dify
MCPNOASSERTION
Open-source LLM app development platform for building AI workflows, RAG pipelines, and agents.
153k·LLM Ops·Open source
rocketride-server
MCPOpen sourceOpen-source AI pipeline engine with C++ core, 100+ nodes, and IDE integration for building LLM workflows.
11kMIT
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.
Pros
- +High-performance multithreaded C++ runtime
- +100+ extensible nodes with 15+ LLM providers and 9 vector databases
- +Visual pipeline builder inside VS Code with Python/TypeScript SDKs
Cons
- −C++ core may be complex to extend or debug
- −Requires IDE extension and local runtime setup
- −Documentation and ecosystem still maturing
Target audience: AI developers and data engineers who want to build, debug, and deploy production LLM pipelines from their IDE.
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