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Rahul Agarwal
Founder | Agentic AI...ย โขย 4m
LLM Frameworks are evolving fast, but which one should you actually use? If youโve been building with AI, youโve probably heard of: โข ๐๐ฎ๐ป๐ด๐๐ฟ๐ฎ๐ฝ๐ต โ graph-driven, great for stateful multi-agent apps โข ๐๐ฎ๐ป๐ด๐๐ต๐ฎ๐ถ๐ป โ developer-friendly, focused on chains, tools, and memory โข ๐๐๐๐ผ๐๐ฒ๐ป โ a multi-agent system where AI agents collaborate through dialogue โข ๐๐ฟ๐ฒ๐๐๐ โ 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 youโre building. โ Need ๐๐๐ฎ๐๐ฒ ๐บ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐ + ๐ฝ๐ฎ๐ฟ๐ฎ๐น๐น๐ฒ๐น ๐น๐ผ๐ด๐ถ๐ฐ โ go with ๐๐ฎ๐ป๐ด๐๐ฟ๐ฎ๐ฝ๐ต โ Want a ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ ๐๐ผ๐ผ๐น๐ธ๐ถ๐ with prompt chains โ use ๐๐ฎ๐ป๐ด๐๐ต๐ฎ๐ถ๐ป โ Working on ๐ฎ๐๐๐ผ๐ป๐ผ๐บ๐ผ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฐ๐ผ๐ป๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป๐ โ try ๐๐๐๐ผ๐๐ฒ๐ป โ Building ๐๐ฒ๐ฎ๐บ-๐๐๐๐น๐ฒ ๐๐ ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐๐ โ explore ๐๐ฟ๐ฒ๐๐๐ Iโve broken down the ๐ฐ๐ผ๐ฟ๐ฒ ๐๐๐ฒ๐ฝ๐ ๐ผ๐ณ ๐ฒ๐ฎ๐ฐ๐ต ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ in a simple graphic (below) to help you see the differences clearly. Which framework do you think will ๐ฑ๐ผ๐บ๐ถ๐ป๐ฎ๐๐ฒ ๐ถ๐ป 2025? Repost for others who want to understand this.
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