Llama Stack and the case for an open “run-anywhere” contract for agents

4 weeks ago 1 min read www.redhat.com

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Why do we really need Llama Stack when popular frameworks like LangChain, LangFlow, and CrewAI already exist?This is the question we get asked most often. It’s a fair one—after all, those frameworks already give developers rich tooling for retrieval-augmented generation (RAG) and agents.But we see Llama Stack as more than “another agent framework.” It’s better understood as four distinct layers:The 4 layers of Llama Stack1. Build layer (Client SDK/Toolkit)A familiar surface for building agents. Here it overlaps with LangChain, LangFlow, and CrewAI. Developers can author agents using

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