# Paper: NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

---
type: paper
title: "NVIDIA-labs OO Agents: Native Python Object-Oriented Agents"
authors: Paul Furgale, Severin Klingler, James Nolan, Matt Staats, Gaia Di Lorenzo, Elisa Martinez Abad, Christian Schüller, Razvan Dinu, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.20709
code_url:
source: arxiv
collected_at: 2026-07-27
published_at: 2026-07-22
updated_at: 2026-07-22
status: queued
relevance: high
topics:
  - agent-evaluation
  - coding-agent
  - memory
  - rag
  - reasoning
  - tool-use
  - workflow-agent
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - cs.AI
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 20
collection_queries: ai-agent, coding-agent
---

## One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

## Why Collected

- matched queries: ai-agent, coding-agent
- inferred topics: agent-evaluation, coding-agent, memory, rag, reasoning, tool-use, workflow-agent
- arXiv categories: cs.AI
- collection score: 20

## 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/2607.20709