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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
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
A vandalised bank during the 2019 protest. File photo: May James/HKFP. Administrators The main design elements of your Telegram channel include a name, bio (brief description), and avatar. Your bio should be: Among the requests, the Brazilian electoral Court wanted to know if they could obtain data on the origins of malicious content posted on the platform. According to the TSE, this would enable the authorities to track false content and identify the user responsible for publishing it in the first place. Judge Hui described Ng as inciting others to “commit a massacre” with three posts teaching people to make “toxic chlorine gas bombs,” target police stations, police quarters and the city’s metro stations. This offence was “rather serious,” the court said.
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