Rethinking AI Agent Frameworks: From Static Graphs to Adaptive Architectures
bingxu_ · x · 2026-07-19
The author reflects on current AI Agent framework designs, pointing out that early architectures—criticized as "just a loop"—were actually the prototypes for "self-improving harnesses."\n\nFurther context adds that dynamic asynchronous graphs seemed advanced (inspired by PyTorch), but were abandoned because their lack of adaptability exposed shortcomings in complex tasks (like CUTLASS generation). The true spirit of an Agent lies in being "adaptive," rather than a mere graph structure.
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