RAGFlow Rewrites in Go, Hits 86.4K Stars and Retags Itself agent-harness as 'a Superior Context Layer for LLMs'

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infiniflow/ragflow now lists Go as its primary language and describes itself as fusing RAG with agent capabilities to serve as a context layer, at 86,414 stars with agent-harness among its topics. The repositioning from retrieval engine to context layer mirrors what LeanCTX and headroom are doing at smaller scale, from the opposite direction. For builders, the practical read is that RAG projects are converging on context management as the product, with retrieval as an implementation detail.