  In this paper, we introduce SynthAI, a new method for the automated creation
of High-Level Synthesis (HLS) designs. SynthAI integrates ReAct agents,
Chain-of-Thought (CoT) prompting, web search technologies, and the
Retrieval-Augmented Generation (RAG) framework within a structured decision
graph. This innovative approach enables the systematic decomposition of complex
hardware design tasks into multiple stages and smaller, manageable modules. As
a result, SynthAI produces synthesizable designs that closely adhere to
user-specified design objectives and functional requirements. We further
validate the capabilities of SynthAI through several case studies, highlighting
its proficiency in generating complex, multi-module logic designs from a single
initial prompt. The SynthAI code is provided via the following repo:
\url{https://github.com/sarashs/FPGA_AGI}
