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title: Six Agent Harness Capabilities for Higher Model Performance
description: NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a Python framework that treats AI agents as standard Python classes where methods are...
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# Six Agent Harness Capabilities for Higher Model Performance

**[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 9 min read · 0 upvotes · 0 comments

## Summary

NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a Python framework that treats AI agents as standard Python classes where methods are capabilities, fields are state, and docstrings are prompts. The framework introduces six key harness capabilities: typed I/O, pass-by-reference tool results, code-as-action, programmable loop engineering, explicit object state, and model-callable APIs. Benchmarks show NOOA achieves 82.2% on SWE-bench Verified with GPT-5.5 (above prior SOTA), 86.8% on CyberGym L1, and 85.1% RHAE on ARC-AGI-3 for under $20/game. Notably, pass-by-reference reduces token usage by roughly half compared to competing harnesses. The framework includes a long-term memory subsystem backed by SQLite with a knowledge graph, and integrates with NVIDIA OpenShell for secure sandboxed execution.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://developer.nvidia.com/blog/six-agent-harness-capabilities-for-higher-model-performance>

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Tags: [#security](https://daily.dev/tags/security), [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents)

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