Awesome LLM Circuit Agent A curated list of papers, datasets, and resources related to Large Language Models (LLMs) for Circuit Design, covering both Digital (RTL) and Analog domains. This repository aims to track the rapid advancements in using AI agents for hardware design automation. 📖 Table of Contents Landscape Map Digital Circuit Design (RTL) Code Generation & Synthesis Verification & Testing Optimization (PPA-aware) Reinforcement Learning Approaches Multi-Agent Systems & Workflows Reasoning & Graph-Based Analog Circuit Design Topology & Schematic Generation Sizing & Optimization...
| Stars | 17 |
| Forks | 5 |
| Language | Mermaid |
| Category | 未分类 |
| Quality Score | 34.82/100 |
| Last Updated | 2026-06-17 |
| Created | 2025-11-09 |
| Est. Tokens | ~28k |
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Awesome-LLM-Circuit-Agent is A repository for academic works on RTL generation and Analog circuit generation based on LLM. It is categorized as a 未分类 with 17 GitHub stars.
Awesome-LLM-Circuit-Agent is primarily written in Mermaid.
You can find installation instructions and usage details in the Awesome-LLM-Circuit-Agent GitHub repository at github.com/qhy991/Awesome-LLM-Circuit-Agent. The project has 17 stars and 5 forks, indicating an active community.