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agent/papers/items/2026-2606-26758-egg-an-expert-guided-agent-framework-for-kernel-generation.md
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# Paper: EGG: An Expert-Guided Agent Framework for Kernel Generation
---
type: paper
title: "EGG: An Expert-Guided Agent Framework for Kernel Generation"
authors: Yaochen Han, Ke Fan, Hongxu Jiang, Wanqi Xu, Weiyu Xie, Runhua Zhang, Chenhui Zhu, Yixiang Zhang
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.26758
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-25
updated_at: 2026-06-25
status: queued
relevance: high
topics:
- computer-use
- memory
- multi-agent
- rag
- workflow-agent
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.AI
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 14
collection_queries: multi-agent-llm
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: multi-agent-llm
- inferred topics: computer-use, memory, multi-agent, rag, workflow-agent
- arXiv categories: cs.AI
- collection score: 14
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2606.26758