This page shows the most relevant public items for Agentic AI, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Jul 22, 2025 • arXiv • Wei Chen, Yujin Han, Qingwen Bu
Current Agentic AI systems are constrained by the predefined set of tools provided by developers. We introduce AnyTool, a framework that grants agents the autonomy to dynamically generate, test, an...
Blog • Nov 5, 2025 • Medium • Sarah Jenkins, Esq.
As financial institutions deploy autonomous agents to optimize trading and manage corporate treasuries, a massive legal vacuum has emerged regarding liability. This post analyzes a hypothetical (bu...
Paper • Apr 18, 2025 • arXiv • Maciej Besta, Nils Blach, Torsten Hoefler
While Chain-of-Thought and Tree-of-Thoughts prompting greatly enhance LLM reasoning, they strictly enforce linear or hierarchical cognitive paths. We introduce Graph of Thoughts (GoT), a novel cogn...
Blog • Oct 30, 2025 • Medium • Alex Rozdolskyi
Instead of hiring a human junior developer, a senior engineer deployed an autonomous coding swarm (using AutoGen and Claude 3.5) to handle unit tests, boilerplate generation, and basic bug fixes fo...
Paper • Sep 10, 2025 • arXiv • Yao Mu, Tianyu Zheng, Percy Liang, Dan Hendrycks
As multi-agent swarms are deployed in open-ended web environments, standard static benchmarks fail to capture their vulnerability to dynamic threats and deceptive actors. We introduce AgentBench-20...
Paper • Aug 14, 2025 • arXiv • Sergey Levine, Chelsea Finn, Ankur Handa, Dieter Fox
While Agentic AI has mastered digital environments through API integrations, transferring this autonomous orchestration to the physical world remains a significant challenge. This paper presents a ...
Blog • Nov 28, 2025 • Medium • Yiming Zhang
The release of AutoGen 2.0 has completely democratized the creation of multi-agent systems, moving complex orchestration from research labs to the laptops of everyday developers. This comprehensive...
Paper • Sep 14, 2025 • arXiv • Michael C. Brooks, Anita Desai, Francis Nguyen
As Agentic AI systems assume more responsibility in high-stakes domains, calibrating human trust remains a critical challenge. Under-trust leads to inefficient micromanagement, while over-trust res...
Blog • Jul 28, 2025 • Medium • Linus T. Harris
While proprietary models dominated the generative AI era, 2025 has seen an undeniable shift toward open-source in the Agentic AI space. Harris argues that building robust multi-agent systems requir...
Paper • Aug 11, 2025 • arXiv • Isabella R. Rossi, Kenji Sato, Nils Bergmann
The discovery of novel chemical compounds is traditionally hindered by the slow, iterative process of manual hypothesis generation and bench testing. We present ChemAgent, an Agentic AI framework t...
Blog • Oct 12, 2025 • Medium • Arjun Patel
As companies move from deploying single chatbots to orchestrating thousands of autonomous agents, traditional ML Ops is breaking down. Patel argues that Agentic AI must be managed using classic Dev...
Paper • Jul 15, 2025 • arXiv • Kevin Zhu, Lara Croft, Julian Bao
Evaluating the long-horizon planning and adaptability of Agentic AI in the real world is fraught with safety and cost limitations. We establish Minecraft as the premier sandbox for open-ended agent...
Paper • Jun 21, 2025 • arXiv • Thomas K. V., Eleanor Rigby, M. Hasan
Traditional AI alignment techniques like RLHF are insufficient for Agentic AI, as autonomous systems frequently encounter novel edge cases in open-ended environments that were absent from their tra...
Paper • May 12, 2025 • arXiv • Ling Chen, David Wu, Samantha Harris, Yong Zhang
Single-agent code generation models frequently fail when confronted with repository-level refactoring and complex architectural planning. We propose SwarmCoder, an Agentic AI framework that deploys...
Paper • May 20, 2025 • arXiv • Lilian W. Zhang, Michael O. Fasanya, Hiroshi Tanaka
The traditional drug discovery pipeline is hindered by siloed computational predictions and slow, manual wet-lab validation. We present a fully autonomous, closed-loop Agentic AI system that seamle...
Paper • Dec 5, 2025 • arXiv • Alessandro V. Rossi, Elena M. K., Yong Lin
The delegation of high-stakes financial and infrastructural tasks to Agentic AI requires robust mechanisms for verifying agent behavior without exposing sensitive underlying data. This paper propos...
Paper • Sep 22, 2025 • arXiv • David Lin, Amir Gholami, Kurt Keutzer
Persistent and scalable memory is the foundational bottleneck preventing Agentic AI from achieving long-term autonomy. This study provides a comprehensive comparative analysis of state-of-the-art m...
Paper • Nov 5, 2025 • arXiv • Chen Wei, Marcus T. Holden, Elara Vance
The rapid escalation of automated cyber attacks has outpaced human response times, necessitating a shift toward autonomous defense mechanisms. This paper introduces an Agentic AI framework for cont...
Paper • Nov 20, 2025 • arXiv • Dr. Yannick L., Sophia M., Wei C.
As Agentic AI swarms scale to thousands of interacting nodes driven by frontier language models, unexpected macro-level dynamics arise. We deploy a multi-agent simulation simulating a digital econo...
Paper • Mar 21, 2025 • arXiv • Albert Q. Jiang, Wenda Li, Szymon Tworkowski, Kuhu Syal
Automated theorem proving requires a blend of creative intuition and rigorous logical deduction, a combination that eludes pure deep learning models. We propose a Neurosymbolic Agentic AI framework...
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