AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and Performance

arXiv:2606.30949 · cs.AI, cs.AR · Submitted 2026-08-20 · Read on arXiv

Yang Zou, Zijian Ding, Yizhou Sun, Jason Cong

cs.AI, cs.AR

Submitted: 2026-08-20

Updated: 2026-08-24

Code: https://github.com/lh3/minimap2

Terminology

• Benchmark — 37× in this paper · explained in 2 episodes
• High-Level Synthesis — 9× in this paper
• Memory Augmentation — 8× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Analyzer — 7× in this paper · explained in 1 episode
• RAG — 6× in this paper · explained in 3 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Generalizability — 5× in this paper · explained in 6 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Embeddings — 4× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Agentic Memory System — 2× in this paper · explained in 1 episode
• AI Agents — 1× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap?
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• MemGPT: Towards LLMs as Operating Systems
• HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
• Agent Workflow Memory
• MEMORYLLM: Towards Self-Updatable Large Language Models
• A-MEM: Agentic Memory for LLM Agents
• AlphaEvolve: A coding agent for scientific and algorithmic discovery

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection