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Rahul Agarwal
Founder | Agentic AI... • 23d
LLM Frameworks are evolving fast, but which one should you actually use? If you’ve been building with AI, you’ve probably heard of: • 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 → graph-driven, great for stateful multi-agent apps • 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 → developer-friendly, focused on chains, tools, and memory • 𝗔𝘂𝘁𝗼𝗚𝗲𝗻 → a multi-agent system where AI agents collaborate through dialogue • 𝗖𝗿𝗲𝘄𝗔𝗜 → role-based orchestration to coordinate agents toward shared goals Each framework has its own strengths, and choosing the right one depends on what kind of AI app you’re building. ✅ Need 𝘀𝘁𝗮𝘁𝗲 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 + 𝗽𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗹𝗼𝗴𝗶𝗰 → go with 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 ✅ Want a 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘁𝗼𝗼𝗹𝗸𝗶𝘁 with prompt chains → use 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 ✅ Working on 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 → try 𝗔𝘂𝘁𝗼𝗚𝗲𝗻 ✅ Building 𝘁𝗲𝗮𝗺-𝘀𝘁𝘆𝗹𝗲 𝗔𝗜 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 → explore 𝗖𝗿𝗲𝘄𝗔𝗜 I’ve broken down the 𝗰𝗼𝗿𝗲 𝘀𝘁𝗲𝗽𝘀 𝗼𝗳 𝗲𝗮𝗰𝗵 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 in a simple graphic (below) to help you see the differences clearly. Which framework do you think will 𝗱𝗼𝗺𝗶𝗻𝗮𝘁𝗲 𝗶𝗻 2025? Repost for others who want to understand this.
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