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agent/papers/items/2026-2606-23327-videoagent-all-in-one-framework-for-video-understanding-and-editing.md
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# Paper: VideoAgent: All-in-One Framework for Video Understanding and Editing
---
type: paper
title: "VideoAgent: All-in-One Framework for Video Understanding and Editing"
authors: Hengji Zhou, Lingxuan Huang, Jian Wang, Bing Zhou, Si Wu, Lianghao Xia, Chao Huang
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.23327
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-22
updated_at: 2026-07-03
status: queued
relevance: high
topics:
- agent-evaluation
- multi-agent
- planning
- rag
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.CV
- cs.AI
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 16
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: agent-evaluation, multi-agent, planning, rag, tool-use
- arXiv categories: cs.CV, cs.AI
- collection score: 16
## 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/2606.23327