dify
MCPNOASSERTION
Open-source LLM app development platform for building AI workflows, RAG pipelines, and agents.
153k·LLM Ops·Open source
haystack
MCPOpen sourceOpen-source Python framework for building production-ready LLM apps with modular pipelines, RAG, and agents.
26kApache-2.0
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Pros
- +Modular pipeline architecture with explicit control over retrieval, routing, and generation
- +Supports RAG, agents, multimodal, and semantic search
- +Production-ready with enterprise support options
- +Active community and extensive documentation
Cons
- −Steeper learning curve for complex pipelines
- −Python-only, not language-agnostic
- −May be overkill for simple LLM tasks
Target audience: Python developers building production-grade LLM applications requiring flexible orchestration and RAG.
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