Which is more popular, LLMFlows or LobeHub?

LobeHub has more GitHub stars (82,957 vs 708).

Which is more actively developed, LLMFlows or LobeHub?

LobeHub had more commits in the last 90 days (2,429 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

LLMFlows has had no commit in 36 months; LobeHub is actively maintained (2,429 commits in the last 90 days).
LobeHub is growing faster: +1,358 GitHub stars in the last 30 days vs +0 for LLMFlows.
Pick LLMFlows for: lLMFlows - Simple, Explicit and Transparent LLM Apps. Pick LobeHub for: open-source platform for building, scheduling, and managing collaborative AI agent teams.

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LLMFlowsopen-source

LLMFlows - Simple, Explicit and Transparent LLM Apps

Open-source platform for building, scheduling, and managing collaborative AI agent teams

+Complete transparency with no hidden prompts or LLM calls, making debugging and monitoring straightforward
+Minimalistic design with clear abstractions that don't compromise on flexibility or capabilities
+Explicit API design that promotes clean, readable code and easy maintenance of complex LLM workflows

-Relatively small community with 707 GitHub stars, which may limit community support and resources
-Minimalistic approach might require more manual setup compared to more feature-rich frameworks
-Limited built-in integrations compared to larger LLM frameworks, requiring more custom implementation

•Building transparent chatbots where every LLM interaction needs to be traceable and debuggable
•Creating question-answering systems that combine multiple LLMs with vector stores for document retrieval
•Developing AI agents with complex multi-step workflows that require explicit control over each LLM call

Which is more popular, LLMFlows or LobeHub?: LobeHub has more GitHub stars (82,957 vs 708).
Which is more actively developed, LLMFlows or LobeHub?: LobeHub had more commits in the last 90 days (2,429 vs 0).
Should I use LLMFlows or LobeHub?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.