Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: pub@towardsai.net
228 Park Avenue South New York, NY 10003 United States
Website: https://towardsai.net/ Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication.
Founders: Roberto Iriondo, Website, Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab VeloxTrend Ultrarix Capital Partners Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc.
Cover:
Logo:
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews
Frequently Used, Contextual References
TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e
Resources
Free: 6-day Agentic AI Engineering Email Guide.
Learnings from Towards AI's hands-on work with real clients.
Last Updated on August 19, 2026 by Editorial Team
Author(s): Rizwanhoda
Originally published on Towards AI.
NVIDIA’s new NOOA framework collapses prompts, tools, and state into a single class and it might make you rethink your entire agent stack
AI agents have gotten weirdly complicated.
After introducing why “simple” agents quickly turn into scattered prompt/tool/state/orchestration systems, the article explains NVIDIA’s NOOA idea: represent an agent as a single Python class where state is modeled via typed fields, prompts live in docstrings, and model-controlled behavior is encoded in specific methods—so capabilities, permissions, and deterministic logic are co-located. It argues this makes state clearer, testing and debugging more natural (especially for deterministic parts), and capability boundaries easier to maintain, while also cautioning that this doesn’t automatically replace graph-based frameworks for complex orchestration needs. It reviews reported benchmark results with caveats, outlines when OO agents are a good fit versus when explicit workflow graphs still win, and closes by reframing the “real question” as how much framework a given agent truly requires—suggesting that many agents might just need an object with an LLM-wired method, not an entire new abstraction layer.
Read the full blog for free on Medium.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Comments
Nothing yet. Say the first thing.
Sign in to join the conversation.